2015 Edition Health Information Technology (Health IT) Certification Criteria, 2015 Edition Base Electronic Health Record (EHR) Definition, and ONC Health IT Certification Program Modifications, 16804-16921 [2015-06612]
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16804
Federal Register / Vol. 80, No. 60 / Monday, March 30, 2015 / Proposed Rules
manner prescribed by HHS,
documenting specific implementation
and oversight activities performed
during the quarter, including progress in
implementing the State’s approved
Medicaid HIT plan.
(b) The quarterly progress reports
must include, but need not be limited to
providing, updates on the following:
(1) State system implementation
dates.
(2) Provider outreach.
(3) Auditing.
(4) State-specific State Medicaid HIT
Plan tasks.
(5) State staffing levels and changes.
(6) The number and type of providers
that qualified for an incentive payment
on the basis of having adopted,
implemented or upgraded certified EHR
technology and the amounts of
incentive payments.
(7) The number and type of providers
that qualified for an incentive payment
on the basis of having demonstrated that
they are meaningful users of certified
EHR technology and the amounts of
incentive payments.
Dated: March 10, 2015.
Andrew M. Slavitt,
Acting Administrator, Centers for Medicare
& Medicaid Services.
Approved: March 18, 2015.
Sylvia M. Burwell,
Secretary, Department of Health and Human
Services.
[FR Doc. 2015–06685 Filed 3–20–15; 3:00 pm]
BILLING CODE 4120–01–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Office of the Secretary
45 CFR Part 170
RIN 0991–AB93
2015 Edition Health Information
Technology (Health IT) Certification
Criteria, 2015 Edition Base Electronic
Health Record (EHR) Definition, and
ONC Health IT Certification Program
Modifications
Office of the National
Coordinator for Health Information
Technology (ONC), Department of
Health and Human Services (HHS).
ACTION: Notice of proposed rulemaking
with comment period.
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AGENCY:
This notice of proposed
rulemaking introduces a new edition of
certification criteria (the 2015 Edition
health IT certification criteria or ‘‘2015
Edition’’), proposes a new 2015 Edition
Base EHR definition, and proposes to
SUMMARY:
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modify the ONC Health IT Certification
Program to make it open and accessible
to more types of health IT and health IT
that supports various care and practice
settings. The 2015 Edition would also
establish the capabilities and specify the
related standards and implementation
specifications that Certified Electronic
Health Record (EHR) Technology
(CEHRT) would need to include to, at a
minimum, support the achievement of
meaningful use by eligible professionals
(EPs), eligible hospitals, and critical
access hospitals (CAHs) under the
Medicare and Medicaid EHR Incentive
Programs (EHR Incentive Programs)
when such edition is required for use
under these programs.
DATES: To be assured consideration,
written or electronic comments must be
received at one of the addresses
provided below, no later than 5 p.m. on
May 29, 2015.
ADDRESSES: You may submit comments,
identified by RIN 0991–AB93, by any of
the following methods (please do not
submit duplicate comments). Because of
staff and resource limitations, we cannot
accept comments by facsimile (FAX)
transmission.
• Federal eRulemaking Portal: Follow
the instructions for submitting
comments. Attachments should be in
Microsoft Word, Microsoft Excel, or
Adobe PDF; however, we prefer
Microsoft Word. https://
www.regulations.gov.
• Regular, Express, or Overnight Mail:
Department of Health and Human
Services, Office of the National
Coordinator for Health Information
Technology, Attention: 2015 Edition
Health IT Certification Criteria Proposed
Rule, Hubert H. Humphrey Building,
Suite 729D, 200 Independence Ave SW.,
Washington, DC 20201. Please submit
one original and two copies.
• Hand Delivery or Courier: Office of
the National Coordinator for Health
Information Technology, Attention:
2015 Edition Health IT Certification
Criteria Proposed Rule, Hubert H.
Humphrey Building, Suite 729D, 200
Independence Ave SW., Washington,
DC 20201. Please submit one original
and two copies. (Because access to the
interior of the Hubert H. Humphrey
Building is not readily available to
persons without federal government
identification, commenters are
encouraged to leave their comments in
the mail drop slots located in the main
lobby of the building.)
Enhancing the Public Comment
Experience: To facilitate public
comment on this proposed rule, a copy
will be made available in Microsoft
Word format. We believe this version
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will make it easier for commenters to
access and copy portions of the
proposed rule for use in their individual
comments. Additionally, a separate
document will be made available for the
public to use to provide comments on
the proposed rule. This document is
meant to provide the public with a
simple and organized way to submit
comments on the certification criteria,
associated standards and
implementation specifications, and
respond to specific questions posed in
the preamble of the proposed rule.
While use of this document is entirely
voluntary, we encourage commenters to
consider using the document in lieu of
unstructured comments or to use it as
an addendum to narrative cover pages.
Roughly 30% of the public comments
submitted to our past two editions of
certification criteria proposed rules used
the provided template, which greatly
assisted in our ability to rapidly process
and more accurately categorize public
comments. Because of the technical
nature of this proposed rule, we believe
that use of the document may facilitate
our review and understanding of the
comments received. The Microsoft
Word version of the proposed rule and
the document that can be used for
providing comments can be found at
https://www.regulations.gov as part of
this proposed rule’s docket and on
ONC’s Web site (https://
www.healthit.gov).
Inspection of Public Comments: All
comments received before the close of
the comment period will be available for
public inspection, including any
personally identifiable or confidential
business information that is included in
a comment. Please do not include
anything in your comment submission
that you do not wish to share with the
general public. Such information
includes, but is not limited to: a
person’s social security number; date of
birth; driver’s license number; state
identification number or foreign country
equivalent; passport number; financial
account number; credit or debit card
number; any personal health
information; or any business
information that could be considered
proprietary. We will post all comments
that are received before the close of the
comment period at https://
www.regulations.gov.
Docket: For access to the docket to
read background documents or
comments received, go to https://
www.regulations.gov or the Department
of Health and Human Services, Office of
the National Coordinator for Health
Information Technology, Hubert H.
Humphrey Building, Suite 729D, 200
Independence Ave SW., Washington,
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DC 20201 (call ahead to the contact
listed below to arrange for inspection).
FOR FURTHER INFORMATION CONTACT:
Michael Lipinski, Office of Policy,
Office of the National Coordinator for
Health Information Technology, 202–
690–7151.
SUPPLEMENTARY INFORMATION:
Commonly Used Acronyms
API Application Programming Interface
CAH Critical Access Hospital
CDA Clinical Document Architecture
CDC Centers for Disease Control and
Prevention
CDS Clinical Decision Support
CEHRT Certified Electronic Health Record
Technology
CFR Code of Federal Regulations
CHPL Certified Health IT Product List
CLIA Clinical Laboratory Improvement
Amendments
CMS Centers for Medicare & Medicaid
Services
CQM Clinical Quality Measure
EHR Electronic Health Record
HHS Department of Health and Human
Services
HISP Health Information Service Providers
HIT Health Information Technology
HITPC HIT Policy Committee
HITSC HIT Standards Committee
HL7 Health Level Seven
IG Implementation Guide
LOINC® Logical Observation Identifiers
Names and Codes
ONC Office of the National Coordinator for
Health Information Technology
SNOMED CT® Systematized Nomenclature
of Medicine Clinical Terms
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Table of Contents
I. Executive Summary
A. Purpose of Regulatory Action
B. Summary of Major Provisions
1. Overview of the 2015 Edition Health IT
Certification Criteria
2. Base EHR Definition and Certified EHR
Technology Definition
3. The ONC Health IT Certification
Program and Health IT Module
C. Costs and Benefits
II. Background
A. Statutory Basis
1. Standards, Implementation
Specifications, and Certification Criteria
2. HIT Certification Programs
B. Regulatory History
1. Standards, Implementation
Specifications, and Certification Criteria
Rules
2. Medicare and Medicaid EHR Incentive
Programs Rules
3. ONC Health IT Certification Programs
Rules
III. Provisions of the Proposed Rule Affecting
Standards, Implementation
Specifications, Certification Criteria, and
Definitions
A. 2015 Edition Health IT Certification
Criteria
1. Applicability
2. Standards and Implementation
Specifications
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3. Certification Criteria
4. 2015 Edition Gap Certification Eligibility
Table
5. Pharmacogenomics Data—Request for
Comment
B. Definitions
1. Base EHR Definitions
2. Certified EHR Technology Definition
3. Common Clinical Data Set Definition
4. Cross-Referenced FDA Definitions
IV. Provisions of the Proposed Rule Affecting
the ONC Health IT Certification Program
A. Subpart E—ONC Health IT Certification
Program
B. Modifications to the ONC Health IT
Certification Program
1. Health IT Modules
2. ‘‘Removal’’ of Meaningful Use
Measurement Certification Requirements
3. Types of Care and Practice Settings
4. Referencing the ONC Health IT
Certification Program
C. Health IT Module Certification
Requirements
1. Privacy and Security
2. Design and Performance (§ 170.315(g))
D. Principles of Proper Conduct for ONC–
ACBs
1. ‘‘In-the-Field’’ Surveillance and
Maintenance of Certification
2. Transparency and Disclosure
Requirements
3. Open Data Certified Health IT Product
List (CHPL)
4. Records Retention
5. Complaints Reporting
6. Adaptations and Updates of Certified
Health IT
E. ‘‘Decertification’’ of Health IT—Request
for Comment
V. Response to Comments
VI. Incorporation by Reference
VII. Collection of Information Requirements
VIII. Regulatory Impact Statement
A. Statement of Need
B. Overall Impact
1. Executive Orders 12866 and 13563—
Regulatory Planning and Review
Analysis
2. Regulatory Flexibility Act
3. Executive Order 13132—Federalism
4. Unfunded Mandates Reform Act of 1995
I. Executive Summary
A. Purpose of Regulatory Action
Building on past rulemakings, this
proposed rule further identifies how
health IT certification can support the
establishment of an interoperable
nationwide health information
infrastructure. It reflects stakeholder
feedback received through various
outreach initiatives, including the
regulatory process, and is designed to
broadly support the health care
continuum through the use of certified
health IT. To achieve this goal, this rule
proposes to:
• Improve interoperability for specific
purposes by adopting new and updated
vocabulary and content standards for
the structured recording and exchange
of health information, including a
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Common Clinical Data Set composed
primarily of data expressed using
adopted standards; and rigorously
testing an identified content exchange
standard (Consolidated Clinical
Document Architecture (C–CDA));
• Facilitate the accessibility and
exchange of data by including enhanced
data portability, transitions of care, and
application programming interface (API)
capabilities in the 2015 Edition Base
EHR definition;
• Establish a framework that makes
the ONC Health IT Certification Program
open and accessible to more types of
health IT, health IT that supports a
variety of care and practice settings,
various HHS programs, and public and
private interests;
• Support the Medicare and Medicaid
EHR Incentive Programs (EHR Incentive
Programs) through the adoption of a set
of certification criteria that align with
proposals for Stage 3;
• Address health disparities by
providing certification: To standards for
the collection of social, psychological,
and behavioral data; for the exchange of
sensitive health information (Data
Segmentation for Privacy); and for the
accessibility of health IT;
• Ensure all health IT presented for
certification possess the relevant
privacy and security capabilities;
• Improve patient safety by: Applying
enhanced user-center design principles
to health IT, enhancing patient
matching, requiring relevant patient
information to be exchanged (e.g.,
Unique Device Identifiers), improving
the surveillance of certified health IT,
and making more information about
certified products publicly available and
accessible;
• Increase the reliability and
transparency of certified health IT
through surveillance and disclosure
requirements; and
• Provide health IT developers with
more flexibility and opportunities for
certification that support both
interoperability and innovation.
B. Summary of Major Provisions
1. Overview of the 2015 Edition Health
IT Certification Criteria
The 2015 Edition health IT
certification criteria (‘‘2015 Edition’’)
would facilitate greater interoperability
for several clinical health information
purposes and enable health information
exchange through new and enhanced
certification criteria, standards, and
implementation specifications. It
incorporates changes that are designed
to spur innovation, open new market
opportunities, and provide more choices
to providers when it comes to electronic
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health information exchange. To
achieve these goals, we propose a new
‘‘Application Access to Common
Clinical Data Set’’ certification criterion
that would require the demonstration of
an API that responds to data requests for
any one of the data referenced in the
Common Clinical Data Set as well as for
all of the data referenced in the
Common Clinical Data Set. To further
validate the continued interoperability
of certified health IT and the ability to
exchange health information, we
propose a new certification criterion
that would rigorously assess a product’s
C–CDA creation performance (for both
C–CDA version 1.1 and 2.0) when
presented for certification for such
capabilities.
2. Definitions
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a. Base EHR Definitions
We propose to adopt a Base EHR
definition specific to the 2015 Edition
(i.e., a 2015 Edition Base EHR
definition) at § 170.102 and rename the
current Base EHR definition at § 170.102
as the 2014 Edition Base EHR definition.
For the proposed 2015 Edition Base
EHR definition, it would differ from the
2014 Edition Base EHR definition in the
following ways:
• It does not include privacy and
security capabilities and certification
criteria. We believe privacy and security
capabilities would be more
appropriately addressed through our
new proposed approach for the privacy
and security certification of Health IT
Modules to the 2015 Edition, as
discussed under ‘‘Privacy and Security’’
in section IV.C.1 of the preamble. Our
new privacy and security approach
would eliminate eligible professionals
(EPs)’, eligible hospitals’, and critical
access hospitals (CAHs)’ responsibilities
to ensure that they have technology
certified to all the necessary privacy and
security criteria. Rather, as part of
certification, health IT developers
would need to meet applicable privacy
and security certification criteria.
• It only includes the capability to
record and export CQM data
(§ 170.315(c)(1)). To note, the
capabilities to import, calculate and
report CQM data are not included in the
proposed 2015 Edition Base EHR
definition or any other CQM-related
requirements. Please refer to the
‘‘Clinical Quality Measures’’ section
(III.A.3) later in the preamble for a more
detailed discussion of the CQM
certification criteria. Please also see the
EHR Incentive Programs Stage 3
proposed rule published elsewhere in
this issue of the Federal Register for
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proposals related to CQMs, including
the CEHRT definition proposal.
• It includes the 2015 Edition
‘‘smoking status,’’ ‘‘implantable device
list,’’ and ‘‘application access to
Common Clinical Data Set’’ certification
criteria. For a detailed discussion of
these certification criteria, please refer
to section III.A.3 of the preamble.
• It includes the proposed 2015
Edition certification criteria that
correspond to the remaining 2014
Edition certification criteria referenced
in the ‘‘2014 Edition’’ Base EHR
definition (i.e., Computerized Provider
Order Entry (CPOE), demographics,
problem list, medication list,
medication allergy list, clinical decision
support (CDS), transitions of care, data
portability, and relevant transport
certification criteria). On the inclusion
of transport certification criteria, we
propose to include the ‘‘Direct Project’’
criterion (§ 170.315(h)(1)) as well as the
‘‘Direct Project, Edge Protocol and XDR/
XDM’’ 1 criterion (§ 170.315(h)(2)) as
equivalent alternative means for
meeting the 2015 Edition Base EHR
definition for the reasons discussed
under ‘‘Transport Methods and Other
Protocols’’ in section III.A.3 of the
preamble.
We refer readers to section III.B.1 for
a more detailed discussion of the
proposed 2015 Edition Base EHR
definition.
b. CEHRT Definition
We propose to remove the Certified
EHR Technology (CEHRT) definition
from § 170.102 for the following
reasons. The CEHRT definition has
always been defined in a manner that
supports the EHR Incentive Programs.
As such, the CEHRT definition would
more appropriately reside solely within
the EHR Incentive Programs regulations.
This would also be consistent with our
approach in this proposed rule to make
the ONC Health IT Certification Program
more open and accessible to other types
of health IT beyond EHR technology and
for health IT that supports care and
practice settings beyond those included
in the EHR Incentive Programs. Further,
this approach should add administrative
simplicity in that regulatory provisions,
which EHR Incentive Programs
participants must meet (e.g., the CEHRT
definition), would be defined within the
context of rulemakings for those
programs. We understand that the
CEHRT definition proposed by CMS
would continue to include the Base EHR
definition(s) defined by ONC, including
1 XDR stands for Cross-Enterprise Document
Reliable Interchange. XDM stands for CrossEnterprise Document Media Interchange.
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the 2015 Edition Base EHR definition
proposed in this proposed rule. We also
refer readers to Table 2 (‘‘2015 Edition
Proposed Certification Criteria
Associated with the EHR Incentive
Programs Stage 3’’) found in section
III.A.3 of this preamble. Table 2
crosswalks proposed 2015 Edition
certification criteria with the proposed
CEHRT definition and proposed EHR
Incentive Programs Stage 3 objectives.
c. Common Clinical Data Set
We propose to revise the ‘‘Common
MU Data Set’’ definition in § 170.102.
We propose to change the name to
‘‘Common Clinical Data Set,’’ which
aligns with our approach throughout
this proposed rule to make the ONC
Health IT Certification Program more
open and accessible to other types of
health IT beyond EHR technology and
for health IT that supports care and
practice settings beyond those included
in the EHR Incentive Programs. We also
propose to change references to the
‘‘Common MU Data Set’’ in the 2014
Edition (§ 170.314) to ‘‘Common
Clinical Data Set.’’
We propose to revise the definition to
account for the new and updated
standards and code sets we propose to
adopt in this proposed rule that would
improve and advance interoperability
through the exchange of the Common
Clinical Data Set. We also propose to
revise the definition to support patient
safety through clearly referenced data
elements and the inclusion of new
patient data. These proposed revisions
would not change the standards, codes
sets, and data requirements specified in
the Common Clinical Data Set for 2014
Edition certification. They would only
apply to health IT certified to the 2015
Edition Health IT certification criteria
that reference the Common Clinical Data
Set.
3. The ONC Health IT Certification
Program and Health IT Module
We propose to change the name of the
ONC HIT Certification Program to the
‘‘ONC Health IT Certification Program’’
(referred to as the ‘‘ONC Health IT
Certification Program’’ throughout this
proposed rule). We also propose to
modify the ONC Health IT Certification
Program in ways that would further
open access to other types of health IT
beyond EHR technology and for health
IT that supports care and practice
settings beyond the ambulatory and
inpatient settings. These modifications
would also serve to support other public
and private programs that may reference
the use of health IT certified under the
ONC Health IT Certification Program.
When we established the certification
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program (76 FR 1294), we stated our
initial focus would be on EHR
technology and supporting the EHR
Incentive Programs, which focus on the
ambulatory setting and inpatient setting.
Our proposals in this proposed rule
would permit other types of health IT
(e.g., laboratory information systems
(LISs)), and technology implemented by
health information service providers
(HISPs) and health information
exchanges (HIEs)) to receive appropriate
attribution and not be referenced by a
certificate with ‘‘EHR’’ in it. Our
proposals also support health IT
certification for other care and practice
settings such as long-term post-acute
care (LTPAC), behavioral health, and
pediatrics. Further, the proposals in this
rule would make it simpler for
certification criteria and certified health
IT to be referenced by other HHS
programs (e.g., Medicaid and Medicare
payment programs and various grant
programs), other public programs, and
private entities and associations.
As part of our approach to evolve the
ONC Health IT Certification Program,
we have replaced prior rulemaking use
of ‘‘EHR’’ and ‘‘EHR technology’’ with
‘‘health IT.’’ The term health IT is
reflective of the scope of ONC’s
authority under the Public Health
Service Act (§ 3000(5) as ‘‘health
information technology’’ is so defined),
and represents a broad range of
technology, including EHR technology.
It also more properly represents some of
the technology, as noted above, that has
been previously certified to editions of
certification criteria under the ONC
Health IT Certification Program and may
be certified to the proposed 2015
Edition in the future. Similarly, to make
the ONC Health IT Certification Program
more open and accessible, we propose
to rename the EHR Module as ‘‘Health
IT Module’’ and will use this term
throughout the proposed rule.
We propose not to require ONCAuthorized Certification Bodies (ACBs)
to certify all Health IT Modules to the
2015 Edition ‘‘meaningful use
measurement’’ certification criteria
(§ 170.315(g)(1) ‘‘automated numerator
recording’’ and § 170.315(g)(2)
‘‘automated measure calculation’’). We
note that CMS has proposed to include
the 2015 Edition ‘‘meaningful use
measurement’’ certification criteria in
the CEHRT definition as a unique
program requirement for the EHR
Incentive Programs.
We propose a new, simpler, straightforward approach to privacy and
security certification requirements for
Health IT Modules certified to the 2015
Edition. In essence, we identify the
privacy and security certification
criteria that would be applicable to a
Health IT Module presented for
certification based on the other
capabilities included in the Health IT
Module and for which certification is
sought. Under the proposed approach, a
health IT developer would know exactly
what it needed to do in order to get its
Health IT Module certified and a
purchaser of a Health IT Module would
know exactly what privacy and security
functionality against which the Health
IT Module had to be tested in order to
be certified.
We propose new and revised
principles of proper conduct (PoPC) for
ONC–ACBs. We propose to require
ONC–ACBs to report an expanded set of
information to ONC for inclusion in the
open data file that would make up the
Certified Health IT Product List (CHPL).
We propose to revise the PoPC in order
to provide for more meaningful
disclosure of certain types of costs and
limitations that could interfere with the
ability of users to implement certified
health IT in a manner consistent with its
certification. We propose that ONC–
ACBs retain records longer and
consistent with industry standards. We
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propose to require that ONC–ACBs
obtain a record of all adaptations and
updates, including changes to userfacing aspects, made to certified health
IT, on a monthly basis each calendar
year. We propose to require that ONC–
ACBs report to the National Coordinator
complaints received on certified health
IT. We propose to adopt new
requirements for ‘‘in-the-field’’
surveillance under the ONC Health IT
Certification Program that would build
on ONC–ACBs’ existing surveillance
responsibilities by specifying
requirements and procedures for in-thefield surveillance. We believe these
proposed new and revised PoPC would
promote greater transparency and
accountability for the ONC Health IT
Certification Program. We also include a
request for comment on the potential
‘‘decertification’’ of health IT that
proactively blocks the sharing of
information.
C. Costs and Benefits
Our estimates indicate that this
proposed rule is an economically
significant rule as its overall costs for
health IT developers may be greater
than $100 million in at least one year.
We have, therefore, projected the costs
and benefits of the proposed rule. The
estimated costs expected to be incurred
by health IT developers to develop and
prepare health IT to be tested and
certified in accordance with the 2015
Edition health IT certification criteria
(and the standards and implementation
specifications they include) are
represented in monetary terms in Table
1 below. We note that this proposed rule
does not impose the costs cited as
compliance costs, but rather as
investments which health IT developers
voluntarily take on and expect to
recover with an appropriate rate of
return.
The dollar amounts expressed in
Table 1 are expressed in 2013 dollars.
TABLE 1—DISTRIBUTED TOTAL DEVELOPMENT AND PREPARATION COSTS FOR HEALTH IT DEVELOPERS (4-YEAR
PERIOD)—TOTALS ROUNDED
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2015
2016
2017
2018
Total low cost
estimate
($M)
Ratio
(%)
Year
Total high cost
estimate
($M)
Total average
cost estimate
($M)
.................................................................................................................
.................................................................................................................
.................................................................................................................
.................................................................................................................
25
30
30
15
49.36
59.23
59.23
29.61
101.80
122.16
122.16
61.08
75.58
90.70
90.70
45.35
4-Year Totals ............................................................................................
........................
197.43
407.20
302.32
We believe that there will be several
significant benefits that may arise from
this proposed rule for patients, health
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care providers, and health IT
developers. The 2015 Edition continues
to improve health IT interoperability
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through the adoption of new and
updated standards and implementation
specifications. For example, many
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proposed certification criteria include
standards and implementation
specifications for interoperability that
directly support the EHR Incentive
Programs, which include objectives and
measures for the interoperable exchange
of health information and for providing
patients electronic access to their health
information in structured formats. In
addition, proposed certification criteria
that support the collection of patient
data that could be used to address
health disparities would not only
benefit patients, but the entire health
care delivery system through improved
quality of care. The 2015 Edition also
supports usability and patient safety
through new and enhanced certification
requirements for health IT.
Our proposals to make the ONC
Health IT Certification Program open
and accessible to more types of health
IT and for health IT that supports a
variety of care and practice settings
should benefit health IT developers,
providers practicing in other care/
practice settings, and consumers
through the availability and use of
certified health IT that includes
capabilities that promote
interoperability and enhanced
functionality.
II. Background
A. Statutory Basis
The Health Information Technology
for Economic and Clinical Health
(HITECH) Act, Title XIII of Division A
and Title IV of Division B of the
American Recovery and Reinvestment
Act of 2009 (the Recovery Act) (Pub. L.
111–5), was enacted on February 17,
2009. The HITECH Act amended the
Public Health Service Act (PHSA) and
created ‘‘Title XXX—Health Information
Technology and Quality’’ (Title XXX) to
improve health care quality, safety, and
efficiency through the promotion of HIT
and electronic health information
exchange.
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1. Standards, Implementation
Specifications, and Certification Criteria
The HITECH Act established two new
federal advisory committees, the Health
IT Policy Committee (HITPC) and the
Health IT Standards Committee (HITSC)
(sections 3002 and 3003 of the PHSA,
respectively). Each is responsible for
advising the National Coordinator for
Health Information Technology
(National Coordinator) on different
aspects of standards, implementation
specifications, and certification criteria.
The HITPC is responsible for, among
other duties, recommending priorities
for the development, harmonization,
and recognition of standards,
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implementation specifications, and
certification criteria. Main
responsibilities of the HITSC include
recommending standards,
implementation specifications, and
certification criteria for adoption by the
Secretary under section 3004 of the
PHSA, consistent with the ONCcoordinated Federal Health IT Strategic
Plan.
Section 3004 of the PHSA identifies a
process for the adoption of health IT
standards, implementation
specifications, and certification criteria
and authorizes the Secretary to adopt
such standards, implementation
specifications, and certification criteria.
As specified in section 3004(a)(1), the
Secretary is required, in consultation
with representatives of other relevant
federal agencies, to jointly review
standards, implementation
specifications, and certification criteria
endorsed by the National Coordinator
under section 3001(c) and subsequently
determine whether to propose the
adoption of any grouping of such
standards, implementation
specifications, or certification criteria.
The Secretary is required to publish all
determinations in the Federal Register.
Section 3004(b)(3) of the PHSA titled,
Subsequent Standards Activity,
provides that the Secretary shall adopt
additional standards, implementation
specifications, and certification criteria
as necessary and consistent with the
schedule published by the HITSC. We
consider this provision in the broader
context of the HITECH Act to grant the
Secretary the authority and discretion to
adopt standards, implementation
specifications, and certification criteria
that have been recommended by the
HITSC and endorsed by the National
Coordinator, as well as other
appropriate and necessary health IT
standards, implementation
specifications, and certification criteria.
Throughout this process, the Secretary
intends to continue to seek the insights
and recommendations of the HITSC.
2. Health IT Certification Programs
Section 3001(c)(5) of the PHSA
provides the National Coordinator with
the authority to establish a certification
program or programs for the voluntary
certification of health IT. Specifically,
section 3001(c)(5)(A) specifies that the
National Coordinator, in consultation
with the Director of the National
Institute of Standards and Technology,
shall keep or recognize a program or
programs for the voluntary certification
of health information technology as
being in compliance with applicable
certification criteria adopted under this
subtitle (i.e., certification criteria
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adopted by the Secretary under section
3004 of the PHSA).
The certification program(s) must also
include, as appropriate, testing of the
technology in accordance with section
13201(b) of the [HITECH] Act. Overall,
section 13201(b) of the HITECH Act
requires that with respect to the
development of standards and
implementation specifications, the
Director of the National Institute of
Standards and Technology (NIST), in
coordination with the HITSC, shall
support the establishment of a
conformance testing infrastructure,
including the development of technical
test beds. The HITECH Act also
indicates that the development of this
conformance testing infrastructure may
include a program to accredit
independent, non-Federal laboratories
to perform testing.
B. Regulatory History
1. Standards, Implementation
Specifications, and Certification Criteria
Rules
The Secretary issued an interim final
rule with request for comments titled,
‘‘Health Information Technology: Initial
Set of Standards, Implementation
Specifications, and Certification Criteria
for Electronic Health Record
Technology’’ (75 FR 2014, Jan. 13, 2010)
(the ‘‘S&CC January 2010 interim final
rule’’), which adopted an initial set of
standards, implementation
specifications, and certification criteria.
After consideration of the public
comments received on the S&CC
January 2010 interim final rule, a final
rule was issued to complete the
adoption of the initial set of standards,
implementation specifications, and
certification criteria and realign them
with the final objectives and measures
established for the EHR Incentive
Programs Stage 1 (formally titled: Health
Information Technology: Initial Set of
Standards, Implementation
Specifications, and Certification Criteria
for Electronic Health Record
Technology; Final Rule, (75 FR 44590,
July 28, 2010) and referred to as the
‘‘2011 Edition final rule’’). The 2011
Edition final rule also established the
first version of the Certified EHR
Technology (CEHRT) definition.
Subsequent to the 2011 Edition final
rule (October 13, 2010), we issued an
interim final rule with a request for
comment to remove certain
implementation specifications related to
public health surveillance that had been
previously adopted in the 2011 Edition
final rule (75 FR 62686).
The standards, implementation
specifications, and certification criteria
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adopted by the Secretary in the 2011
Edition final rule established the
capabilities that CEHRT must include in
order to, at a minimum, support the
achievement of EHR Incentive Programs
Stage 1 by EPs, eligible hospitals, and
CAHs under the EHR Incentive
Programs Stage 1 final rule (the ‘‘EHR
Incentive Programs Stage 1 final rule’’)
(see 75 FR 44314 for more information
about meaningful use and the Stage 1
requirements).
The Secretary issued a proposed rule
with request for comments titled
‘‘Health Information Technology:
Standards, Implementation
Specifications, and Certification Criteria
for Electronic Health Record
Technology, 2014 Edition; Revisions to
the Permanent Certification Program for
Health Information Technology’’ (77 FR
13832, March 7, 2012) (the ‘‘2014
Edition proposed rule’’), which
proposed new and revised standards,
implementation specifications, and
certification criteria. After consideration
of the public comments received on the
2014 Edition proposed rule, a final rule
was issued to adopt the 2014 Edition set
of standards, implementation
specifications, and certification criteria
and realign them with the final
objectives and measures established for
the EHR Incentive Programs Stage 2 as
well as Stage 1 revisions (Health
Information Technology: Standards,
Implementation Specifications, and
Certification Criteria for Electronic
Health Record Technology, 2014
Edition; Revisions to the Permanent
Certification Program for Health
Information Technology (77 FR 54163,
Sept. 4, 2012) (the ‘‘2014 Edition final
rule’’). The standards, implementation
specifications, and certification criteria
adopted by the Secretary in the 2014
Edition final rule established the
capabilities that CEHRT must include in
order to, at a minimum, support the
achievement of the EHR Incentive
Programs Stage 2 by EPs, eligible
hospitals, and CAHs under the EHR
Incentive Programs Stage 2 final rule
(the ‘‘EHR Incentive Programs Stage 2
final rule’’) (see 77 FR 53968 for more
information about the EHR Incentive
Programs Stage 2 requirements).
On December 7, 2012, an interim final
rule with a request for comment was
jointly issued and published by ONC
and CMS to update certain standards
that had been previously adopted in the
2014 Edition final rule. The interim
final rule also revised the EHR Incentive
Programs by adding an alternative
measure for the Stage 2 objective for
hospitals to provide structured
electronic laboratory results to
ambulatory providers, corrected the
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regulation text for the measures
associated with the objective for
hospitals to provide patients the ability
to view online, download, and transmit
information about a hospital admission,
and made the case number threshold
exemption policy for clinical quality
measure (CQM) reporting applicable for
eligible hospitals and CAHs beginning
with FY 2013. The rule also provided
notice of CMS’s intent to issue technical
corrections to the electronic
specifications for CQMs released on
October 25, 2012 (77 FR 72985). On
September 4, 2014, a final rule
(Medicare and Medicaid Programs;
Modifications to the Medicare and
Medicaid Electronic Health Record
(EHR) Incentive Program for 2014 and
Other Changes to the EHR Incentive
Program; and Health Information
Technology: Revisions to the Certified
EHR Technology Definition and EHR
Certification Changes Related to
Standards; Final Rule) (79 FR 52910)
was published adopting these proposals.
On November 4, 2013, the Secretary
published an interim final rule with a
request for comment, 2014 Edition
Electronic Health Record Certification
Criteria: Revision to the Definition of
‘‘Common Meaningful Use (MU) Data
Set’’ (78 FR 65884), to make a minor
revision to the Common MU Data Set
definition. This revision was intended
to allow more flexibility with respect to
the representation of dental procedures
data for EHR technology testing and
certification.
On February 26, 2014, the Secretary
published a proposed rule titled
‘‘Voluntary 2015 Edition Electronic
Health Record (EHR) Certification
Criteria; Interoperability Updates and
Regulatory Improvements’’ (79 FR
10880) (‘‘Voluntary Edition proposed
rule’’). The proposed rule proposed a
voluntary edition of certification criteria
that was designed to enhance
interoperability, promote innovation,
and incorporate ‘‘bug fixes’’ to improve
upon the 2014 Edition. A correction
notice was published for the Voluntary
Edition proposed rule on March 19,
2014, entitled ‘‘Voluntary 2015 Edition
Electronic Health Record (EHR)
Certification Criteria; Interoperability
Updates and Regulatory Improvements;
Correction’’ (79 FR 15282). This
correction notice corrected the preamble
text and gap certification table for four
certification criteria that were omitted
from the list of certification criteria
eligible for gap certification for the 2015
Edition EHR certification criteria. On
September 11, 2014, a final rule was
published titled ‘‘2014 Edition Release 2
Electronic Health Record (EHR)
Certification Criteria and the ONC HIT
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16809
Certification Program; Regulatory
Flexibilities, Improvements, and
Enhanced Health Information
Exchange’’ (79 FR 54430) (‘‘2014 Edition
Release 2 final rule’’). The final rule
adopted a small subset of the original
proposals in the Voluntary Edition
proposed rule as optional and revised
2014 Edition EHR certification criteria
that provide flexibility, clarity, and
enhance health information exchange. It
also finalized administrative proposals
(i.e., removal of regulatory text from the
Code of Federal Regulations (CFR)) and
proposals for the ONC HIT Certification
Program that provide improvements.
On May 23, 2014, CMS and ONC
jointly published the ‘‘Medicare and
Medicaid Programs; Modifications to
the Medicare and Medicaid Electronic
Health Record Incentive Programs for
2014; and Health Information
Technology: Revisions to the Certified
EHR Technology Definition’’ proposed
rule (79 FR 29732). The rule proposed
to update the EHR Incentive Programs
Stage 2 and Stage 3 participation
timeline. It proposed to revise the
CEHRT definition to permit the use of
EHR technology certified to the 2011
Edition to meet the CEHRT definition
for FY/CY 2014. It also proposed to
allow EPs, eligible hospitals, and CAHs
that could not fully implement EHR
technology certified to the 2014 Edition
for an EHR reporting period in 2014 due
to delays in the availability of such
technology to continue to use EHR
technology certified to the 2011 Edition
or a combination of EHR technology
certified to the 2011 Edition and 2014
Edition for the EHR reporting periods in
CY 2014 and FY 2014. On September 4,
2014, a final rule (‘‘CEHRT Flexibility
final rule’’) was published (79 FR
52910) adopting these proposals.
2. Medicare and Medicaid EHR
Incentive Programs Rules
On January 13, 2010, CMS published
the EHR Incentive Programs Stage 1
proposed rule (75 FR 1844). The rule
proposed the criteria for Stage 1 of the
EHR Incentive Programs and regulations
associated with the incentive payments
made available under Division B, Title
IV of the HITECH Act. Subsequently,
CMS published a final rule (75 FR
44314) for Stage 1 and the EHR
Incentive Programs on July 28, 2010,
simultaneously with the publication of
the 2011 Edition final rule. The EHR
Incentive Programs Stage 1 final rule
established the objectives, associated
measures, and other requirements that
EPs, eligible hospitals, and CAHs must
satisfy to meet Stage 1.
On March 7, 2012, CMS published the
EHR Incentive Programs Stage 2
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proposed rule (77 FR 13698).
Subsequently, CMS published a final
rule (77 FR 53968) for the EHR Incentive
Programs on Sept. 4, 2012,
simultaneously with the publication of
the 2014 Edition final rule. The EHR
Incentive Programs Stage 2 final rule
established the objectives, associated
measures, and other requirements that
EPs, eligible hospitals, and CAHs must
satisfy to meet Stage 2 as well as revised
some Stage 1 requirements.
As described above in Section II.B.1,
ONC and CMS jointly issued an interim
final rule with a request for comment
that was published on December 7, 2012
and a final rule that published on
September 4, 2014. Also, as described
above in Section II.B.1, ONC and CMS
jointly issued proposed and final rules
that were published on May 23, 2014
and September 4, 2014, respectively.
3. ONC Health IT Certification Program
Rules
On March 10, 2010, ONC published a
proposed rule (75 FR 11328) titled,
‘‘Proposed Establishment of
Certification Programs for Health
Information Technology’’ (the
‘‘Certification Programs proposed rule’’).
The rule proposed both a temporary and
permanent certification program for the
purposes of testing and certifying HIT.
It also specified the processes the
National Coordinator would follow to
authorize organizations to perform the
certification of HIT. A final rule
establishing the temporary certification
program was published on June 24,
2010 (75 FR 36158) (‘‘Temporary
Certification Program final rule’’) and a
final rule establishing the permanent
certification program was published on
January 7, 2011 (76 FR 1262) (‘‘the
Permanent Certification Program final
rule’’).
On May 31, 2011, ONC published a
proposed rule (76 FR 31272) titled
‘‘Permanent Certification Program for
Health Information Technology;
Revisions to ONC-Approved Accreditor
Processes.’’ The rule proposed a process
for addressing instances where the
ONC–Approved Accreditor (ONC–AA)
engaged in improper conduct or did not
perform its responsibilities under the
permanent certification program,
addressed the status of ONC-Authorized
Certification Bodies in instances where
there may be a change in the
accreditation organization serving as the
ONC–AA, and clarified the
responsibilities of the new ONC–AA.
All these proposals were finalized in a
final rule published on November 25,
2011 (76 FR 72636).
The 2014 Edition final rule made
changes to the permanent certification
program. The final rule adopted a
proposal to change the Permanent
Certification Program’s name to the
‘‘ONC HIT Certification Program,’’
revised the process for permitting the
use of newer versions of ‘‘minimum
standard’’ code sets, modified the
certification processes ONC–ACBs need
to follow for certifying EHR Modules in
a manner that provides clear
implementation direction and
compliance with the new certification
criteria, and eliminated the certification
requirement that every EHR Module be
certified to all the mandatory ‘‘privacy
and security’’ certification criteria.
The Voluntary Edition proposed rule
included proposals that focused on
improving regulatory clarity,
simplifying the certification of EHR
Modules that are designed for purposes
other than meeting Meaningful Use
requirements, and discontinuing the use
of the Complete EHR definition. As
noted above, we issued the 2014 Edition
Release 2 final rule to complete the
rulemaking for the Voluntary Edition
proposed rule. The 2014 Edition Release
2 final rule discontinued the ‘‘Complete
EHR’’ certification concept beginning
with the proposed 2015 Edition,
adopted an updated standard (ISO/IEC
17065) for the accreditation of ONC–
ACBs, and adopted the ‘‘ONC Certified
HIT’’ certification and design mark for
required use by ONC–ACBs under the
ONC Health IT Certification Program.
III. Provisions of the Proposed Rule
Affecting Standards, Implementation
Specifications, and Certification
Criteria
A. 2015 Edition Health IT Certification
Criteria
This rule proposes new, revised, and
unchanged certification criteria that
would establish the capabilities and
related standards and implementation
specifications for the certification of
health IT, including EHR technology.
We refer to these new, revised, and
unchanged certification criteria as the
‘‘2015 Edition health IT certification
criteria’’ and propose to add this term
and its definition to § 170.102. As noted
in the Executive Summary, we also refer
to these criteria as the ‘‘2015 Edition’’ in
this preamble. We propose to codify the
2015 Edition in § 170.315 to set them
apart from other editions of certification
criteria and make it easier for
stakeholders to quickly determine the
certification criteria the 2015 Edition
includes.
Health IT certified to these proposed
certification criteria and associated
standards and implementation
specifications could be implemented as
part of an EP’s, eligible hospital’s, or
CAH’s CEHRT and used to demonstrate
meaningful use (as identified in Table 2
below). We note that Table 2 does not
identify certification criteria that are
included in conditional certification
requirements, such as privacy and
security, safety-enhanced design, and
quality management system certification
criteria. We do, however, classify these
types of certification criteria as
‘‘associated’’ with the EHR Incentives
Programs Stage 3 for the purposes of the
regulatory impact analysis we
performed for this proposed rule (see
section VIII.B.1).
Health IT certified to the proposed
certification criteria and associated
standards and implementation
specifications could also be used to
meet other HHS program requirements
(e.g., grant and contract requirements) or
referenced by private sector associations
and entities.
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TABLE 2—2015 EDITION PROPOSED CERTIFICATION CRITERIA ASSOCIATED WITH THE EHR INCENTIVE PROGRAMS
STAGE 3
Proposed inclusion in 2015 edition base EHR
definition
Proposed CFR citation
Certification criterion
§ 170.315(a)(1) ........................................
Computerized Provider Order Entry
(CPOE)—medications.
CPOE—laboratory .................................
CPOE—diagnostic imaging ...................
§ 170.315(a)(2) ........................................
§ 170.315(a)(3) ........................................
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Relationship to the proposed CEHRT 2
definition and proposed stage 3 objectives
Included 3 ..........
Objective 4.
Included 4 ..........
Included 5 ..........
Objective 4.
Objective 4.
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TABLE 2—2015 EDITION PROPOSED CERTIFICATION CRITERIA ASSOCIATED WITH THE EHR INCENTIVE PROGRAMS
STAGE 3—Continued
Proposed inclusion in 2015 edition base EHR
definition
Relationship to the proposed CEHRT 2
definition and proposed stage 3 objectives
Proposed CFR citation
Certification criterion
§ 170.315(a)(4) ........................................
Not included .....
Objective 3.
§ 170.315(a)(5) ........................................
Drug-drug,
Drug-allergy
Interaction
Checks for CPOE.
Demographics ........................................
Included ............
§ 170.315(a)(7) ........................................
Problem List ...........................................
Included ............
§ 170.315(a)(8) ........................................
Medication List .......................................
Included ............
§ 170.315(a)(9) ........................................
Medication Allergy List ...........................
Included ............
§ 170.315(a)(10) ......................................
§ 170.315(a)(11) ......................................
Included ............
Not included .....
§ 170.315(a)(12) ......................................
Clinical Decision Support .......................
Drug-formulary and Preferred Drug List
Checks.
Smoking Status ......................................
No additional relationship
Base EHR definition.
No additional relationship
Base EHR definition.
No additional relationship
Base EHR definition.
No additional relationship
Base EHR definition.
Objective 3.
Objective 2.
Included ............
§ 170.315(a)(14)
§ 170.315(a)(15)
§ 170.315(a)(17)
§ 170.315(a)(19)
......................................
......................................
......................................
......................................
Family Health History .............................
Family Health History—pedigree ...........
Patient-specific Education Resources ...
Patient Health Information Capture .......
Not
Not
Not
Not
§ 170.315(a)(20) ......................................
Implantable Device List ..........................
Included ............
§ 170.315(b)(1) ........................................
§ 170.315(b)(2) ........................................
Transitions of Care ................................
Clinical Information Reconciliation and
Incorporation.
Electronic Prescribing ............................
Data Portability .......................................
Included ............
Not included .....
Clinical Quality Measures—record and
export.
View, Download, and Transmit to Third
Party.
Secure Messaging .................................
Transmission to Immunization Registries.
Transmission to Public Health Agencies—syndromic surveillance.
Transmission to Public Health Agencies—reportable laboratory tests and
values/results.
Transmission to Cancer Registries ........
Transmission to Public Health Agencies—case reporting.
Transmission to Public Health Agencies—antimicrobial use and resistance reporting.
Transmission to Public Health Agencies—health care surveys.
Automated Numerator Recording ..........
Automated Measure Calculation ............
Application Access to Common Clinical
Data Set.
Direct Project .........................................
Included ............
Direct Project, Edge Protocol, and XDR/
XDM.
Included 11 ........
§ 170.315(b)(3) ........................................
§ 170.315(b)(6) ........................................
§ 170.315(c)(1) 8 ......................................
§ 170.315(e)(1) ........................................
§ 170.315(e)(2) ........................................
§ 170.315(f)(1) .........................................
§ 170.315(f)(2) .........................................
§ 170.315(f)(3) .........................................
§ 170.315(f)(4) .........................................
§ 170.315(f)(5) .........................................
§ 170.315(f)(6) .........................................
§ 170.315(f)(7) .........................................
§ 170.315(g)(1) ........................................
§ 170.315(g)(2) ........................................
§ 170.315(g)(7) ........................................
§ 170.315(h)(1) ........................................
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§ 170.315(h)(2) ........................................
included
included
included
included
.....
.....
.....
.....
Not included .....
Included ............
Not included .....
beyond the
beyond the
beyond the
beyond the
No additional relationship beyond the
Base EHR definition.
CEHRT 6.
CEHRT 7.
Objective 5.
CEHRT
Objective 6.
No additional relationship beyond the
Base EHR definition.
Objective 7.
Objective 7.
Objective 2.
No additional relationship beyond the
Base EHR definition.
CEHRT.
Not included .....
Not included .....
Objective
Objective
Objective
Objective
Not included .....
Objective 8.
Not included .....
Objective 8.
Not included .....
Not included .....
Objective 8.
Objective 8.
Not included .....
Objective 8.
Not included .....
Objective 8.
Not included .....
Not included .....
Included ............
CEHRT.
CEHRT.
Objective 5
Objective 6.
No additional relationship beyond the
Base EHR definition.
No additional relationship beyond the
Base EHR definition.
Included 10 ........
5
6.
6.
8.9
2 CMS’ CEHRT definition would include the criteria adopted in the Base EHR definition. For more details on the CEHRT definition, please see
the CMS EHR Incentive Programs proposed rule published elsewhere in this issue of the Federal Register.
3 Technology needs to be certified to § 170.315(a)(1), (a)(2), or (a)(3).
4 Technology needs to be certified to § 170.315(a)(1), (a)(2), or (a)(3).
5 Technology needs to be certified to § 170.315(a)(1), (a)(2), or (a)(3).
6 Technology needs to be certified to § 170.315(a)(14) or (a)(15).
7 Technology needs to be certified to § 170.315(a)(14) or (a)(15).
8 As discussed in the preamble for the ‘‘clinical quality measures—report’’ criterion, additional CQM certification policy may be proposed in or
with CMS payment rules in CY15. As such, additional CQM certification criteria may be proposed for the Base EHR and/or CEHRT definitions.
9 For the public health certification criteria in § 170.315(f), technology would only need to be certified to those criteria that are required to meet
the options the provider intends to report in order to meet the proposed Objective 8: Public Health and Clinical Data Registry Reporting.
10 Technology needs to be certified to § 170.315(h)(1) or (h)(2) to meet the proposed Base EHR definition.
11 Technology needs to be certified to § 170.315(h)(1) or (h)(2) to meet the proposed Base EHR definition.
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1. Applicability
Section 170.300 establishes the
applicability of subpart C—Certification
Criteria for Health Information
Technology. We propose to revise
paragraph (d) of § 170.300 to add in a
reference to § 170.315 and revise the
parenthetical in the paragraph to say
‘‘i.e., apply to any health care setting’’
instead of ‘‘i.e., apply to both
ambulatory and inpatient settings.’’
These proposed revisions would clarify
which specific capabilities within a
certification criterion included in
§ 170.315 have general applicability
(i.e., apply to any health care setting) or
apply only to an inpatient setting or an
ambulatory setting. The proposed
revision to change the language of the
parenthetical aligns with our proposed
approach to make the ONC Health IT
Certification Program more agnostic to
health care settings and accessible to
health IT that supports care and practice
settings beyond the ambulatory and
inpatient settings. We refer readers to
section IV.B of this preamble for a
detailed discussion of our proposals to
modify the ONC Health IT Certification
Program.
We note that, with the proposed 2015
Edition, we no longer label certification
criteria as either optional or ambulatory/
inpatient (at the second paragraph
level). For example, the proposed 2015
Edition certification criterion for
electronic medication administration
record is simply ‘‘electronic medication
administration record’’ instead of
‘‘inpatient setting only—electronic
medication administration record.’’
Similarly, the proposed 2015 Edition
certification criterion for ‘‘accounting of
disclosures’’ is simply ‘‘accounting of
disclosures’’ instead of ‘‘optional—
accounting of disclosures.’’ These
simplifications are possible given that,
beginning with the 2015 Edition health
IT certification criteria, ‘‘Complete
EHR’’ certifications will no longer be
issued (see 79 FR 54443–45). Therefore,
there is no longer a need to designate an
entire certification criterion in this
manner. Again, this approach supports
our goal to make the ONC Health IT
Certification Program more agnostic to
health care settings and accessible to
health IT that supports care and practice
settings beyond the ambulatory and
inpatient settings.
We propose to replace the term ‘‘EHR
technology’’ in paragraphs (d)(1) and
(d)(2) with ‘‘health IT’’ to align with our
proposed approach to make the ONC
Health IT Certification Program more
clearly open to the certification of all
types of health IT. Again, we refer
readers to section IV.B of this preamble
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for a detail discussion of our proposals
to modify the ONC Health IT
Certification Program.
2. Standards and Implementation
Specifications
a. National Technology Transfer and
Advancement Act
The National Technology Transfer
and Advancement Act (NTTAA) of 1995
(15 U.S.C. § 3701 et. seq.) and the Office
of Management and Budget (OMB)
Circular A–119 12 require the use of,
wherever practical, technical standards
that are developed or adopted by
voluntary consensus standards bodies to
carry out policy objectives or activities,
with certain exceptions. The NTTAA
and OMB Circular A–119 provide
exceptions to selecting only standards
developed or adopted by voluntary
consensus standards bodies, namely
when doing so would be inconsistent
with applicable law or otherwise
impractical. In this proposed rule, we
refer to voluntary consensus standards,
except for:
• The standards adopted in § 170.202.
(These standards were developed by
groups of industry stakeholders
committed to advancing the Direct
Project,13 which included initiatives
under the Standards and
Interoperability (S&I) Framework.14
These groups used consensus processes
similar to those used by other industry
stakeholders and voluntary consensus
standards bodies.);
• The standards we propose to adopt
at § 170.205(a)(5)(iii) and (iv) for
electronic submission medical
documentation (esMD) (These standards
were developed by groups of industry
stakeholders committed to advancing
esMD,15 which included initiatives
under the Standards and
Interoperability (S&I) Framework.16
These groups used consensus processes
similar to those used by other industry
stakeholders and voluntary consensus
standards bodies.);
• The standards we propose to adopt
at § 170.205(d)(4) and (e)(4) for reporting
of syndromic surveillance and
immunization information to public
health agencies, respectively (These
12 https://www.whitehouse.gov/omb/
circulars_a119.
13 https://www.healthit.gov/policy-researchersimplementers/direct-project.
14 https://www.healthit.gov/policy-researchersimplementers/standards-interoperability-siframework.
15 https://wiki.siframework.org/esMD++Author+of+Record and https://
wiki.siframework.org/esMD++Provider+Profiles+Authentication.
16 https://www.healthit.gov/policy-researchersimplementers/standards-interoperability-siframework.
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standards go through a process similar
within the public health community to
those used by other industry
stakeholders and voluntary consensus
standards bodies.);
• The standard we propose to adopt
at § 170.207(f)(2) for race and ethnicity;
and
• Certain standards related to the
protection of electronic health
information adopted in § 170.210.
We are aware of no voluntary
consensus standard that would serve as
an alternative to these standards for the
purposes that we have identified in this
proposed rule.
b. Compliance With Adopted Standards
and Implementation Specifications
In accordance with Office of the
Federal Register regulations related to
‘‘incorporation by reference,’’ 1 CFR
part 51, which we follow when we
adopt proposed standards and/or
implementation specifications in any
subsequent final rule, the entire
standard or implementation
specification document is deemed
published in the Federal Register when
incorporated by reference therein with
the approval of the Director of the
Federal Register. Once published,
compliance with the standard and
implementation specification includes
the entire document unless we specify
otherwise. For example, if we adopted
the HL7 Laboratory Orders Interface
(LOI) implementation guide (IG)
proposed in this proposed rule, health
IT certified to certification criteria
referencing this IG would need to
demonstrate compliance with all
mandatory elements and requirements
of the IG. If an element of the IG is
optional or permissive in any way, it
would remain that way for testing and
certification unless we specified
otherwise in regulation. In such cases,
the regulatory text would preempt the
permissiveness of the IG.
c. ‘‘Reasonably Available’’ to Interested
Parties
The Office of the Federal Register has
established new requirements for
materials (e.g., standards and
implementation specifications) that
agencies propose to incorporate by
reference in the Federal Register (79 FR
66267; 1 CFR 51.5(a)). To comply with
these requirements, in section VI
(‘‘Incorporation by Reference’’) of this
preamble, we provide summaries of,
and uniform resource locators (URLs) to,
the standards and implementation
specifications we propose to adopt and
subsequently incorporate by reference
in the Federal Register. To note, we also
provide relevant information about
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these standards and implementation
specifications throughout this section of
the preamble (section III), including
URLs.
d. ‘‘Minimum Standards’’ Code Sets
We propose to adopt newer versions
of four previously adopted minimum
standards code sets in this proposed
rule for the 2015 Edition. These code
sets are the September 2014 Release of
the U.S. Edition of SNOMED CT®,
LOINC® version 2.50, the February 2,
2015 monthly version of RxNorm, and
the February 2, 2015 version of the CVX
code set. We also propose to adopt two
new minimum standards code sets (the
National Drug Codes (NDC)—Vaccine
Codes, updates through January 15,
2015 and the ‘‘Race & Ethnicity—CDC’’
code system in the PHIN Vocabulary
Access and Distribution System (VADS)
Release 3.3.9 (June 17, 2011)). As we
have previously articulated (77 FR
54170), the adoption of newer versions
improve interoperability and health IT
implementation, while creating little
additional burden through the inclusion
of new codes. As many of these
minimum standards code sets are
updated frequently throughout the year,
we will consider whether it may be
more appropriate to adopt a version of
a minimum standards code set that is
issued before we publish a final rule for
this proposed rule. In making such
determination, as we have done with
these proposed versions of minimum
standards code sets, we will give
consideration to whether it includes any
new substantive requirements and its
effect on interoperability. If adopted, a
Code system OID
2.16.840.1.113883.6.238 ..........................................................................
2.16.840.1.113883.6.316 ..........................................................................
In§ 170.200, we propose to remove
term ‘‘EHR Modules’’ and add in its
place ‘‘Health IT Modules.’’ In
§ 170.210, we propose to remove the
term ‘‘EHR technology’’ and add in its
place ‘‘health IT.’’ These proposals are
consistent with our overall approach to
this rulemaking as discussed in the
Executive Summary.
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3. Certification Criteria
We discuss the certification criteria
that we propose to adopt as the 2015
Edition below. In a header for each
criterion, we specify where the
proposed certification criteria would be
included in § 170.315. We discuss each
certification criterion in the
chronological order in which it would
appear in the CFR. In other words, the
preamble that follows will discuss the
proposed certification criteria in
§ 170.315(a) first, then § 170.315(b), and
so on.
17 Copyright © 1998–2013, Regenstrief Institute,
Inc. and the UCUM Organization. All rights
reserved.
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newer version of a minimum standards
code set would serve as the baseline for
certification. As with all adopted
minimum standards code sets, health IT
can be certified to newer versions of the
adopted baseline version minimum
standards code sets for purposes of
certification, unless the Secretary
specifically prohibits the use of a newer
version (see § 170.555 and 77 FR 54268).
e. Object Identifiers (OIDs) for Certain
Code Systems
We are providing the following table
of OIDs for certain code systems to
assist health IT developers in the proper
identification and exchange of health
information coded to the vocabulary
standards proposed in this proposed
rule.
Code system name
2.16.840.1.113883.6.96 ............................................................................
2.16.840.1.113883.6.1 ..............................................................................
2.16.840.1.113883.6.88 ............................................................................
2.16.840.1.113883.12.292 ........................................................................
2.16.840.1.113883.6.69 ............................................................................
2.16.840.1.113883.6.8 ..............................................................................
2.16.840.1.113883.6.13 ............................................................................
2.16.840.1.113883.6.4 ..............................................................................
f. Subpart B—Standards and
Implementation Specifications for
Health Information Technology
16813
CT.®
IHTSDO SNOMED
LOINC.®
RxNorm.
HL7 Standard Code Set CVX-Vaccines Administered.
National Drug Code Directory.
Unified Code of Units of Measure (UCUM 17).
Code on Dental Procedures and Nomenclature (CDT).
International Classification of Diseases, 10th Revision, Procedure Coding System (ICD–10–PCS).
Race & Ethnicity—Centers for Disease Control and Prevention (CDC).
Tags for Identifying Languages—Request for Comment (RFC) 5646
(preferred language).
We identify the certification criteria
as new, revised, or unchanged in
comparison to the 2014 Edition. In the
2014 Edition final rule we gave meaning
to the terms ‘‘new,’’ ‘‘revised,’’ and
‘‘unchanged’’ to both describe the
differences between the 2014 Edition
certification criteria and the 2011
Edition certification criteria as well as
establish what certification criteria in
the 2014 Edition were eligible for gap
certification (see 77 FR 54171, 54202,
and 54248). Given that beginning with
the 2015 Edition ‘‘Complete EHR’’
certifications will no longer be issued
(see also 79 FR 54443–45) and that our
proposals in this proposed rule to make
the ONC Health IT Certification Program
more open and accessible to other
health care/practice settings, we
propose to give new meaning to these
terms for the purpose of a gap
certification analysis.
• ‘‘New’’ certification criteria are
those that as a whole only include
capabilities never referenced in
previously adopted certification criteria
editions and to which a Health IT
Module presented for certification to the
2015 Edition could have never
previously been certified. As a counter
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example, the splitting of a 2014 Edition
certification criterion into two criteria as
part of the 2015 Edition would not make
those certification criteria ‘‘new’’ for the
purposes of a gap certification eligibility
analysis.
• ‘‘Revised’’ certification criteria are
those that include within them
capabilities referenced in a previously
adopted edition of certification criteria
as well as changed or additional new
capabilities; and to which a Health IT
Module presented for certification to the
2015 Edition could not have been
previously certified to all of the
included capabilities.
• ‘‘Unchanged’’ certification criteria
would be certification criteria that
include the same capabilities as
compared to prior certification criteria
of adopted editions; and to which a
Health IT Module presented for
certification to the 2015 Edition could
have been previously certified to all of
the included capabilities.
We explain the proposed certification
criteria and provide accompanying
rationale for the proposed certification
criteria, including citing the
recommendations of the HITPC and
HITSC, where appropriate. For 2015
Edition health IT certification criteria
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that have been revised in comparison to
their 2014 Edition counterparts, we
focus the discussion on any revisions
and clarifications in comparison to the
2014 Edition version of the criteria. A
revised 2015 Edition certification
criterion would also include all the
other capabilities that were included in
the 2014 Edition version. For example,
we propose to adopt a 2015 Edition
‘‘drug-drug, drug-allergy interaction
checks for CPOE’’ certification criterion
(§ 170.315(a)(4)) that is revised in
comparison to the 2014 Edition ‘‘drugdrug, drug-allergy interaction checks’’
criterion (§ 170.314(a)(2)). We only
discuss clarifications (e.g., the criterion
name change) and revisions we propose
as part of the 2015 Edition ‘‘drug-drug,
drug-allergy interaction checks for
CPOE’’ certification criterion. However,
the 2015 Edition criterion also includes
all the other capabilities of the 2014
Edition ‘‘drug-drug, drug allergy
interaction checks’’ criterion. We refer
readers to § 170.315 of the proposed
regulation text near the end of this
document, which specifies all the
capabilities included in each proposed
2015 Edition certification criterion.
We include an appendix (Appendix
A) to this proposed rule, which provides
a table with the following data for each
proposed 2015 Edition certification
criterion, as applicable: (1) Proposed
CFR citation; (2) estimated development
hours; (3) proposed privacy and security
certification requirements (approach
1); 18 (4) conditional certification
requirements (§ 170.550); (5) gap
certification eligibility; (6) proposed
inclusion in the 2015 Edition Base EHR
definition; and (7) relationship to
proposed Stage 3 of the EHR Incentive
Programs, including the CEHRT
definition.
We propose, and readers should
interpret, that the following terms used
in the proposed 2015 Edition have the
same meanings we adopted in the 2014
Edition final rule (77 FR 54168–54169),
in response to public comment: ‘‘user,’’
‘‘record,’’ ‘‘change,’’ ‘‘access,’’
‘‘incorporate,’’ ‘‘create,’’ and ‘‘transmit,’’
but apply to all health IT not just ‘‘EHR
technology.’’ For the term
‘‘incorporate,’’ we also direct readers to
the additional explanation we provided
under the ‘‘transitions of care’’
certification criterion (77 FR 54218) in
the 2014 Edition final rule and in the
Voluntary Edition proposed rule (79 FR
10898). We propose that the scope of a
2015 Edition certification criterion is
the same as the scope previously
assigned to a 2014 Edition certification
18 Please see section IV.C.1 (‘‘Privacy and
Security’’) for a detailed discussion of approach 1.
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criterion (for further explanation, see
the discussion at 77 FR 54168). That is,
certification to proposed 2015 Edition
health IT certification criteria at
§ 170.315 would occur at the second
paragraph level of the regulatory section
and encompass all paragraph levels
below the second paragraph level. We
also propose to continue to use the same
specific descriptions for the different
types of ‘‘data summaries’’ established
in the 2014 Edition final rule (77 FR
54170–54171) for the proposed 2015
Edition health IT certification criteria
(i.e., ‘‘export summary,’’ ‘‘transition of
care/referral summary,’’ ‘‘ambulatory
summary,’’ and ‘‘inpatient summary.’’)
As with the adoption of the 2011 and
2014 editions of certification criteria
(see the introductory text to §§ 170.302,
170.304, 170.306, and 170.314), all
capabilities mentioned in certification
criteria are expected to be performed
electronically, unless otherwise noted.
Therefore, we no longer include
‘‘electronically’’ in conjunction with
each capability included in a
certification criterion proposed under
§ 170.315 because the proposed
introductory text to § 170.315 (which
covers all the certification criteria
included in the section) clearly states
that health IT must be able to
electronically perform the following
capabilities in accordance with all
applicable standards and
implementation specifications adopted
in the part.
• Computerized Provider Order Entry
In the 2014 Edition Release 2 final
rule, we adopted separate computerized
provider order entry (CPOE)
certification criteria based on the
clinical purpose (i.e., medications,
laboratory, and diagnostic imaging) (79
FR 54435–36). We propose to take the
same approach for the 2015 Edition and
propose to adopt three certification
criteria for CPOE, as compared to a
single criterion that would include
combined functionality for all three
clinical purposes (e.g., § 170.314(a)(1)).
We request comment on whether we
should specify, for the purposes of
testing and certification to the 2015
Edition CPOE criteria, certain data
elements that a Health IT Module must
be able to include in a transmitted
order. In particular, we request
comment on whether a Health IT
Module should be able to include any
or all of the following data elements:
secondary diagnosis codes; reason for
order; and comment fields entered by
the ordering provider, if they are
provided to the ordering provider in
their order entry screen. We also request
comment on whether there are any other
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data elements that a Health IT Module
should be able to include as part of an
order for the purposes of testing and
certification. We clarify, however, that
any specific data requirements for a
transmitted order that may be adopted
in a final rule would only apply in the
absence of a standard for testing and
certification. As discussed below, we
propose a laboratory order standard for
the ambulatory setting. If we were to
adopt this standard in a final rule, any
potential required data elements for a
transmitted order adopted in response
to this proposal would not be made
applicable to the ambulatory setting for
the ‘‘CPOE—laboratory’’ certification
criterion.
• Computerized Provider Order
Entry—Medications
2015 Edition Health IT Certification Criterion
§ 170.315(a)(1) (Computerized provider
order entry—medications)
We propose to adopt a 2015 Edition
CPOE certification criterion specific to
medication ordering. This proposed
criterion does not reference any
standards or implementation
specifications and is unchanged in
comparison to the 2014 Edition CPOE—
medications criterion adopted at
§ 170.314(a)(18).
• Computerized Provider Order
Entry—Laboratory
2015 Edition Health IT Certification Criterion
§ 170.315(a)(2) (Computerized provider
order entry—laboratory)
We propose to adopt a 2015 Edition
CPOE certification criterion specific to
laboratory ordering that is revised in
comparison to the CPOE—laboratory
criterion adopted at § 170.314(a)(19) as
well as § 170.314(a)(1).
We propose to adopt and include in
this criterion, for the ambulatory setting,
the HL7 Version 2.5.1 Implementation
Guide: S&I Framework Laboratory
Orders (LOI) from EHR, Draft Standard
for Trial Use, Release 2—US Realm
(‘‘Release 2’’).19 Due to the absence of a
consensus standard for the purpose of
sending laboratory orders from EHRs to
laboratories, this standard was
developed in conjunction with
laboratories representative of the
industry, health IT developers, and
19 https://www.hl7.org/special/committees/
projman/searchableproject
index.cfm?action=edit&ProjectNumber=922 and
https://www.hl7.org/participate/online
balloting.cfm?ref=nav#nonmember. Access to the
current draft of the LOI Release 2 IG is freely
available for review during the public comment
period by establishing an HL7 user account.
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provider stakeholders through an open
consensus-based process under the
Standards and Interoperability
Framework (S&I Framework). Release 1
of the standard was balloted and
approved through HL7, a standards
developing organization. Release 2 is
currently under ballot reconciliation
with HL7 and should be published in
the next few months. Release 2 would:
• Implement common formats across
US Realm IGs for consistent reader
experience (e.g., sequence of sections,
formatting, layout, and terminology);
• Adopt HL7 version 2.8 fields
developed to fill gaps identified in the
development of Release 1;
• Include harmonized data type
‘‘flavors’’ for use across the US Realm
Lab IGs;
• Introduce initial requirements for
error reporting conditions and severity
(hard/soft errors) and system/
application acknowledgements;
• Harmonize data element usage and
cardinality requirements with LOI
Release 1, and the electronic Directory
of Services (eDOS) IG;
• Incorporate US Lab Realm value
sets developed for clarity and
consistency across all laboratory IGs;
and
• Use a new publication method for
value sets that allows for precision
usage at point of use and provides ‘‘at
a glance’’ comprehensive usage at the
field and component-level across all
laboratory IGs; and synced with value
set activities (HL7, VSAC, etc.).
Overall, we propose to adopt Release
2 of the standard because it addresses
errors and ambiguities found in Release
1 and harmonizes requirements with
other laboratory standards we propose
to adopt in this proposed rule. Release
2 would also make implementation of
the LOI IG clearer and more consistent
for health IT developers and
laboratories, as well as improve
interoperability. We propose to adopt
Release 2 at § 170.205(l)(1).
Commenters on the Voluntary Edition
proposed rule noted that for optimal
interoperability we need to also adopt
the most recent version of the HL7
Version 2.5.1 Implementation Guide:
S&I Framework Laboratory Test
Compendium Framework, Release 2,
(also referred to as the ‘‘electronic
Directory of Services (eDOS) IG’’), as it
is the companion IG to the LOI IG. We
agree with the commenters’ assessment
and propose to include the most recent
version of the eDOS IG in this criterion
for certification to all health care
settings (i.e., not confining it to only the
ambulatory setting) and adopt it at
§ 170.205(l)(2). The most recent version
of the eDOS IG will be Release 2,
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Version 1.2, which is scheduled to
publish in the next few months. Release
2, Version 1.2 is currently under ballot
reconciliation.20 In general, the eDOS IG
provides requirements and guidance for
the delivery of an electronic Directory of
Services (test compendium) from a
laboratory (compendium producer) to
an EHR or other system (compendium
consumer) where it is used to produce
electronic orders (LOI-conformant
messages) for laboratory tests. Version
1.2 of the eDOS IG addresses errors and
ambiguities in the prior version as well
as harmonizes with Release 2 of the LOI
IG.
We also propose, for the purposes of
certification, to require a Health IT
Module to be able to use, at a minimum,
the version of Logical Observation
Identifiers Names and Codes (LOINC®)
adopted at § 170.207(c)(3) (version 2.50)
as the vocabulary standard for
laboratory orders. This is the most
recent version of LOINC®. We refer
readers to section III.A.2.d (‘‘Minimum
Standards’’ Code Sets) for further
discussion of our adoption of LOINC®
as a minimum standards code set and
our proposal to adopt version 2.50, or
potentially a newer version if released
before a subsequent final rule, as the
baseline for certification to the 2015
Edition.
We note that the LOI Release 2 IG
requires the information for a test
requisition as specified in the Clinical
Laboratory Improvement Amendments
(CLIA), 42 CFR 493.1241(c)(1) through
(c)(8), to be included in the content
message. Therefore, inclusion of this
standard for certification may also
facilitate laboratory compliance with
CLIA.
• Computerized Provider Order
Entry—Diagnostic Imaging
2015 Edition Health IT Certification Criterion
§ 170.315(a)(3) (Computerized provider
order entry—diagnostic imaging)
We propose to adopt a 2015 Edition
CPOE certification criterion specific to
diagnostic imaging. This proposed
criterion does not reference any
standards or implementation
specifications, and is unchanged in
comparison to the 2014 Edition CPOE—
diagnostic imaging criterion adopted at
§ 170.314(a)(20). To note, we also
propose to adopt the title of ‘‘diagnostic
imaging,’’ which is the title we gave to
20 https://www.hl7.org/participate/
onlineballoting.cfm?ref=nav#nonmember. Access to
the current draft of the eDOS IG, Release 2, Version
1.2 is freely available for review during the public
comment period by establishing an HL7 user
account.
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16815
the 2014 Edition version of this
certification criterion in the 2014
Edition Release 2 final rule (79 FR
54436).
• Drug-Drug, Drug-Allergy Interaction
Checks for CPOE
2015 Edition Health IT Certification Criterion
§ 170.315(a)(4) (Drug-drug, drug-allergy
interaction checks for CPOE)
We propose to adopt a 2015 Edition
‘‘drug-drug, drug-allergy interaction
checks for CPOE’’ certification criterion
that is revised in comparison to the
2014 Edition ‘‘drug-drug, drug-allergy
interaction checks’’ criterion
(§ 170.314(a)(2)). We propose to clarify
that the capabilities included in this
criterion are focused on CPOE by
including ‘‘for CPOE’’ in the title of this
criterion.
We also propose to include in this
criterion the capabilities to record user
actions for drug-drug, drug-allergy
interaction (DD/DAI) interventions and
to enable a user to view the actions
taken for DD/DAI interventions (also
referred to as ‘‘checks’’). Specifically,
we propose that a Health IT Module
must be able to record at least one
action taken and by whom in response
to drug-drug or drug-allergy interaction
checks. To be certified to this criterion,
a Health IT Module (at a user’s request)
must also be able to generate either a
human readable display or human
readable report of actions taken and by
whom in response to drug-drug or drugallergy interaction checks.
We solicited comment in the
Voluntary Edition proposed rule on
whether health IT should be able to
track (which means ‘‘record’’ and will
be referred to as ‘‘record’’ throughout
this preamble) provider (referred to as
‘‘user’’ for the purposes of this proposed
certification criterion) actions for DD/
DAI interventions, including recording
if and when the user viewed, accepted,
declined, ignored, overrode, or
otherwise commented on the DD/DAI
interventions. We received comments
that supported recording user actions
for DD/DAI interventions (79 FR 54449).
We also received comments
recommending that we consider
including recording user actions in
response to CDS interventions. We
discuss those comments under the CDS
certification criterion in this section
(III.A.3) of the preamble.
We believe that recording user actions
for DD/DAI interventions could assist
with quality improvement and patient
safety. While some commenters
expressed concern that functionality for
recording user actions would be
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burdensome to develop, we believe the
potential benefits of improved care and
reduced adverse events that can come
from using such functionality and being
able to subsequently analyze user
actions for DD/DAI interventions
outweighs the development burden. To
provide health IT developers with
flexibility and the opportunity to
innovate, we have explicitly not
specified the types of actions a Health
IT Module must be able to record to
meet this criterion. Health IT developers
would need to simply demonstrate that
their Health IT Module can record at
least one user action for DD/DAI checks.
For example, a Health IT Module could
include the capability to record whether
the user viewed, accepted, declined,
ignored, overrode, provided a rationale
or explanation for the action taken, took
some other type of action not listed here
or otherwise commented on the DD/DAI
check. We solicit comment on whether
we should focus this proposed
requirement to record at least one user
action taken for DD/DAI interventions
on a subset of DD/DAI interventions,
such as those of highest patient safety
concern, and what sources we should
consider for defining this subset.
We note, however, that we do not
intend with this proposed requirement
to infer a specific workflow or user
interface in order to achieve
conformance to this criterion. While
appropriate documentation in
accordance with clinical, safety, and
system design best practices for these
DD/DAI interventions is beyond the
scope of certification for this criterion,
we would encourage health IT
developers to consider these best
practices in developing this
functionality and attempt to not
interrupt a provider’s workflow
unnecessarily to meet this criterion.
This criterion also does not propose to
establish the uses for the ‘‘user action’’
information, whom should be able to
view the information, or who could
adjust the capability. Further, based on
stakeholder feedback, there does not
appear to be a consensus method or
standard for characterizing the severity
of patient DD/DAI reactions. Therefore,
until the stakeholder community
determines if there should be a set of
methods, standards, or clinical
guidelines for determining the severity
of a patient DD/DAI reaction, we believe
that users should determine these
definitions for their organization and/or
setting.
While this proposed certification
criterion focuses on DD/DAI checking at
the point when a user enters a
computerized order, we believe that
there are instances when a user should
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be aware of a patient’s DD/DAI when
new medications or medication allergies
are entered into the patient record.
Therefore, we strongly encourage health
IT developers to build in functionality,
including but not limited to clinical
decision support, that would inform a
user of new or updated DD/DAI when
the medication or medication allergy
lists are updated. We also seek comment
on whether we should include this
functionality in certification and
whether this functionality should be
included in an existing certification
criterion (e.g., medication list,
medication allergy list, clinical decision
support) or a standalone criterion.
• Demographics
2015 Edition Health IT Certification Criterion
§ 170.315(a)(5) (Demographics)
We propose to adopt a 2015 Edition
‘‘demographics’’ certification criterion
that is revised as described below in
comparison to the 2014 Edition
certification criterion (§ 170.314(a)(3)).
Sex
We propose that, for certification (and
testing) to this criterion, health IT must
be capable of recording sex in
accordance with HL7 Version 3
(‘‘AdministrativeGender’’) and a
nullFlavor value attributed as follows:
male (M); female (F); and unknown
(UNK). This proposal serves as another
means of improving interoperability
through the use of consistent standards.
We propose in a later section of this
rule that using HL7 Version 3 for
recording sex would be required under
the ‘‘Common Clinical Data Set’’
definition for certification to the 2015
Edition. Please see section III.B.3
‘‘Common Clinical Data Set’’ of this
preamble for further discussion of this
associated proposal.
Race and Ethnicity
We propose that, for certification (and
testing) to this criterion, a Health IT
Module must be capable of recording
each one of a patient’s races and
ethnicities in accordance with, at a
minimum, the ‘‘Race & Ethnicity—CDC’’
code system in the PHIN Vocabulary
Access and Distribution System (VADS),
Release 3.3.9.21 We also propose that a
Health IT Module must be able to
aggregate each one of a patient’s races
and ethnicities to the categories in the
OMB standard for race and ethnicity,
which we previously adopted for the
21 https://phinvads.cdc.gov/vads/ViewCode
System.action?id=2.16.840.1.113883.6.238#.
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2011 Edition and 2014 Edition
‘‘demographics’’ certification criteria.
As discussed in the 2014 Edition final
rule (77 FR 54208), the OMB standard
for the classification of data on race and
ethnicity requires that the option for
selecting one or more racial
designations be provided. The standard
also permits the use of more than the
minimum standard categories for race
and ethnicity, but requires that the data
can be ‘‘rolled up’’ or mapped to the
minimum standard categories as well as
aggregated. The ‘‘Race & Ethnicity—
CDC’’ code system in PHIN VADS (at a
minimum, Release 3.3.9) permits a
much more granular structured
recording of a patient’s race and
ethnicity with its inclusion of over 900
concepts for race and ethnicity. The
recording and exchange of patient race
and ethnicity at such a granular level
can facilitate the accurate identification
and analysis of health disparities based
on race and ethnicity. Further, the
‘‘Race & Ethnicity—CDC’’ code system
has a hierarchy that rolls up to the OMB
minimum categories for race and
ethnicity and, thus, supports
aggregation and reporting using the
OMB standard. Accordingly, we
propose the adoption and inclusion of
both these standards in this certification
criterion as described.
For the purposes of testing and
certification to this ‘‘demographics’’
criterion, we would test that a Health IT
Module can record each one of a
patient’s races and ethnicities using any
of the 900 plus concepts in the ‘‘Race &
Ethnicity—CDC’’ code system. We
would not, however, expect the user
interface to include a drop-down menu
of all 900 plus ‘‘Race & Ethnicity—CDC’’
code system concepts for race and
ethnicity, as we believe doing so could
have negative workflow effects. Rather,
we expect that health IT developers and
health care providers would work
together to establish the appropriate
implementation given the care setting.
We refer readers to section III.A.2.d
(‘‘Minimum Standards’’ Code Sets) for
further discussion of our proposal to
adopt ‘‘Race & Ethnicity—CDC’’ code
system in PHIN VADS as a minimum
standards code set and Release 3.3.9, or
potentially a newer version if released
before a subsequent final rule, as the
baseline for certification to the 2015
Edition.
We propose in a later section of this
proposed rule that the ‘‘Race &
Ethnicity—CDC’’ code system in PHIN
VADS (at a minimum, Release 3.3.9)
and the OMB standard would become
the race and ethnicity standards under
the ‘‘Common Clinical Data Set’’
definition for certification to the 2015
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Edition. Please see section III.B.3
‘‘Common Clinical Data Set’’ of this
preamble for further discussion of this
associated proposal.
Preferred Language
Based on specific HITSC
recommendations from 2011, we
adopted ISO 639–2 constrained by ISO
639–1 for recording preferred language
in the 2014 Edition ‘‘demographics’’
certification criterion (77 FR 54208).22
More specifically, this means that
technology is required to be capable of
using the alpha-3 codes of ISO 639–2 to
represent the corresponding alpha-2
code in ISO–639–1. To provide further
clarity, we issued FAQ 27 23 in which
we stated that where both a
bibliographic code and terminology
code are present for a required ISO 639–
2 language, technology is expected to be
capable of representing the language in
accordance with the (T) terminology
codes (ISO 639–2/T) for the purposes of
certification. After we issued FAQ 27,
we issued FAQ 43 24 in which we
acknowledge that our constrained
approach to the use of ISO 639–2
unintentionally excluded multiple
languages that are currently in use, such
as sign language and Hmong.
Additionally, ISO 639–2 is meant to
support written languages, which may
not be the language with which patients
instinctively respond when asked for
their preferred language.
To improve the situation described
above, we propose to adopt the Internet
Engineering Task Force (IETF) Request
for Comments (RFC) 5646 25 standard
for preferred language. RFC 5646
entitled ‘‘Tags for Identifying
Languages, September 2009’’ is the
coding system that is commonly used to
encode languages on the web and is the
most current RFC for this purpose and
listed as a ‘‘best current practice.’’ 26 The
first part of the code relies on the
shortest ISO–639 code for the language.
That means a 2-character code if the
language is specified in ISO 639–1 or a
3-character code from ISO 639–2 or –3,
if the language is only listed in one of
those two ISO standards. We are also
aware that RFC 5646 supports dialects.
After consideration of comments we
received on the Voluntary Edition
proposed rule (79 FR 54450) and further
research, we believe that RFC 5646 is
the most appropriate standard to
22 https://www.loc.gov/standards/iso639-2/php/
code_list.php.
23 https://www.healthit.gov/policy-researchersimplementers/27-question-10-12-027.
24 https://www.healthit.gov/policy-researchersimplementers/43-question-11-13-043.
25 https://www.rfc-editor.org/info/rfc5646.
26 https://www.rfc-editor.org/info/rfc5646.
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support preferred language
interoperability. It is our understanding
that this standard is compatible with the
C–CDA Release 2.0 and that other
preferred language standards in use
today can be efficiently mapped to it,
such as ISO 639–1, 639–2, and 639–3.
Therefore, for the purposes of testing
and certification to this ‘‘demographics’’
criterion, we would test that a Health IT
Module can record a patient’s preferred
language using any of the codes in RFC
5646.
We emphasize that this requirement
would apply to a Health IT Module
presented for certification and not
health care providers. In other words, a
Health IT Module certified to this
criterion would need to support the
recording of preferred language in RFC
5646 and should in no way be
interpreted or imply the way in which
health care providers use the capability
to record preferred language or the
preferred language values they are
presented with to select a patient’s
preferred language. For example, we
would not expect the user interface to
include a drop-down menu of all RFC
5646 codes for language, as we believe
doing so could have negative workflow
effects. Rather, we expect that health IT
developers and health care providers
would work together to establish the
appropriate implementation given the
care setting.
We propose in a later section of this
proposed rule that RFC 5646 would also
become the preferred language standard
under the ‘‘Common Clinical Data Set’’
definition for certification to the 2015
Edition. Please see section III.B.3
(‘‘Common Clinical Data Set’’) of this
preamble for further discussion of this
associated proposal.
Preliminary Cause of Death and Date of
Death
We propose to include in the 2015
Edition the capability to enable a user
to electronically record, change, and
access the ‘‘date of death’’ as a required
capability that EHR technology designed
for the inpatient setting must
demonstrate. We previously included
this capability as part of the 2011
Edition ‘‘demographics’’ certification
criterion and inadvertently omitted it
from the 2014 Edition. While we heard
from commenters in response to the
Voluntary Edition proposed rule that
they were unaware of any developer
removing this capability, we believe it is
appropriate to specifically include this
capability in the 2015 Edition criterion
for testing and certification purposes
and to align with the data required by
the Meaningful Use criteria of the EHR
Incentive Programs. To note, this
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functionality would be in addition to
the inclusion in the 2015 Edition
‘‘demographics’’ certification criterion
of the same capability to enable a user
to electronically record, change, and
access ‘‘preliminary cause of death’’ in
case of mortality, as is included in the
2014 Edition ‘‘demographics’’
certification criterion.
• Vital Signs, Body Mass Index (BMI),
and Growth Charts
2015 Edition Health IT Certification Criterion
§ 170.315(a)(6) (Vital signs, body mass
index, and growth charts)
We propose to adopt a 2015 Edition
‘‘vital signs, BMI, and growth charts’’
certification criterion that is revised in
comparison to the 2014 Edition ‘‘vital
signs, BMI, and growth charts’’ criterion
(§ 170.314(a)(4)). Specifically, we
propose to: 1) Expand the types of vital
signs for recording; 2) require that each
type of vital sign have a specific
LOINC® code attributed to it; 3) that The
Unified Code of Units of Measure,
Revision 1.9, October 23, 2013 (‘‘UCUM
Version 1.9’’) 27 be used to record vital
sign measurements; and 4) that certain
metadata accompany each vital sign,
including date, time, and measuring- or
authoring-type source.
Proposed Approach for Vital Signs
In the Voluntary Edition proposed
rule (79 FR 10889–10890), we solicited
comment on whether we should require
health IT to record vital signs in
standardized vocabularies. We solicited
comments on whether we should
require that vital signs be recorded in
standardized vocabularies natively
within the health IT system or only
during transmission. We also solicited
comment on whether we should require
vital signs be recorded with specific
metadata for contextual purposes.
Many commenters recommended that
the industry should standardize how
vital signs are represented and
collected. To this end, we are aware that
several stakeholder groups are working
to define unique, unambiguous
representations/definitions for clinical
concepts along with structured metadata
that together provide improved context
for the system to interpret information,
including vital signs. This approach can
help increase data standardization at a
granular level so that clinical elements
and associated values/findings can be
consistently represented and exchanged.
For example, blood pressure is
represented in current systems using a
variety of formats, which creates
27 https://unitsofmeasure.org/trac/.
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significant challenges to aggregate,
compare, and exchange data across
systems. This occurs despite the
numeric nature of blood pressure,
resulting in costly and time-consuming
manual translation to integrate this data
across systems.
Some commenters supported
requiring standardized vocabularies for
vital signs during data exchange rather
than natively within the health IT
system. While we agree that data should
be exchanged in a standard way, we also
believe that the granularity necessary to
unambiguously represent this data
should be implemented within health IT
systems so that data is captured with the
same level of specificity to enable
consistent and reliable interpretation by
other data users and receivers without
requiring mapping. Thus, we propose
that health IT demonstrate it is able to
record vital signs data natively as
specified below. Overall, these
proposals reflect our interest in ensuring
that the data a user enters into a health
IT system is semantically and
syntactically identical to the
information coming out of the system
and being exchanged. We believe this
would increase the confidence that the
data exchanged is what the provider
intended.
The 2014 Edition ‘‘vital signs’’
certification criterion requires health IT
to enable a user to electronically record,
change, and access a patient’s height/
length, weight, and blood pressure. We
propose to include BMI, heart rate,
respiratory rate, temperature, oxygen
saturation in arterial blood by pulse
oximetry, and mean blood pressure as
we understand that these vital signs are
commonly captured or calculated (i.e.,
BMI) in the routine course of clinical
encounters across a wide variety of both
inpatient and ambulatory settings. We
also propose to further specify that
health IT would need to be able to
record diastolic and systolic blood
pressure as separate vital signs rather
than ‘‘blood pressure’’ (unspecified) as a
single vital sign. We clarify that this list
of vital signs is not intended to be
comprehensive. Rather, these listed vital
signs indicate our interest in a more
specific approach to recording and
exchanging vital signs data that could
promote unambiguous interpretation.
These vital sign concepts derive from
the C–CDA standard and the Public
Health Information Network Vocabulary
Access and Distribution System value
set for vital sign result types 28
(2.16.840.1.113883.3.88.12.80.62),
which was developed by the Health IT
28 https://phinvads.cdc.gov/vads/ViewValue
Set.action?oid=2.16.840.1.113883.3.88.12.80.62.
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Standards Panel.29 Therefore, we
believe the health care community has
experience with collecting these vital
sign concepts because they have been
defined for some time as part of
previous collaborative stakeholder
work.
We propose to require that a Health IT
Module be able to attribute a specific
LOINC® code to each type of vital sign
using the following identifiers:
• ‘‘Systolic blood pressure’’ with
LOINC® code 8480–6;
• ‘‘Diastolic blood pressure’’ with
LOINC® code 8462–4;
• ‘‘Body height’’ with LOINC® code
8302–2;
• ‘‘Body weight measured’’ with
LOINC® code 3141–9;
• ‘‘Heart rate’’ with LOINC® code
8867–4;
• ‘‘Respiratory rate’’ with LOINC®
code 9279–1;
• ‘‘Body temperature’’ with LOINC®
code 8310–5;
• ‘‘Oxygen saturation in arterial blood
by pulse oximetry’’ with LOINC® code
59408–5;
• ‘‘Body mass index (BMI) [Ratio]’’
with LOINC® code 39156–5; and
• ‘‘Mean blood pressure’’ with
LOINC® code 8478–0.
We understand that the industry is
commonly identifying these vital signs
using LOINC® codes today.
We also propose to require that a
Health IT Module enable a user to
record these vital signs with at least the
following metadata:
• date and time of vital sign
measurement or end time of vital sign
measurement with optional certification
in accordance with the clock
synchronization standard adopted at
§ 170.210(g); and
• the measuring- or authoring-type
source of the vital sign measurement
(such as the user who documented the
vital sign or the medical device that was
used to measure the vital sign).
In some cases, the provider
documenting the vital sign may record
the date and time of vital sign
measurement manually and enter the
data into a health IT system at a later
time; therefore, it would not be
necessary to use the clock
synchronization standard. However, use
of the clock synchronization standard
may be useful for situations where the
29 The Health IT Standards Panel was established
in 2005 as a strategic public-private partnership in
contract with the U.S. Department of Health and
Human Services to achieve a widely accepted and
useful set of standards to enable and support
widespread interoperability among healthcare
software applications. The Health IT Standards
Panel’s contract with HHS concluded on April 30,
2010. https://www.hitsp.org/.
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vital sign data comes from a device and
should be synchronized with the health
IT system.
For ‘‘oxygen saturation in arterial
blood by pulse oximetry,’’ we propose
that a Health IT Module enable a user
to record ‘‘inhaled oxygen
concentration’’ with LOINC® code
3150–0 as metadata associated with the
vital sign. We understand that ‘‘inhaled
oxygen concentration’’ is frequently
provided to assist with interpretation of
the ‘‘oxygen saturation in arterial blood
by pulse oximetry’’ value.
For all units of measure associated
with a vital sign value, we propose to
require that health IT be able to record
an applicable unit of measure in
accordance with UCUM Version 1.9
(e.g., the UCUM unit ‘‘mm[Hg]’’ for
systolic blood pressure; e.g., the UCUM
unit ‘‘[lb_av],’’ ‘‘g,’’ ‘‘kg,’’ or ‘‘[oz_av]’’
for body weight). We note that LOINC
provides a translation table 30 that
enumerates the UCUM syntax for a
subset of UCUM codes that are
commonly used in health IT that may be
a useful reference for stakeholders.
Proposed ‘‘Optional’’ Pediatric Vital
Signs
We propose to offer optional
certification for health IT to be able to
electronically record, change, and
access:
• Body mass index (BMI) [Percentile]
per age and sex (with LOINC® code
59576–9) for youth 2–20 years of age;
and
• Weight for length per age and sex
(with LOINC® code to be established in
a newer version of LOINC® prior to the
publication of a subsequent final rule)
and/or Head occipital-frontal
circumference by tape measure (with
LOINC® code 8287–5) for infants less
than 3 years of age.
We propose to require that a Health IT
Module enable each optional vital sign
to be recorded with an applicable unit
of measure in accordance with UCUM
Version 1.9. CDC recommends the
collection of these anthropomorphic
indices for youth 2–20 years of age and
infants less than 3 years of age,
respectively, as part of best care
practices.31
A Health IT Module certified to the
‘‘BMI percentile per age and sex,’’
‘‘weight for length per age and sex,’’ or
‘‘head occipital-frontal circumference by
tape measure’’ vital signs would also
need to record metadata for the date and
time or end time of vital sign
30 https://loinc.org/downloads/usage/units.
31 https://www.cdc.gov/growthcharts/clinical_
charts.htm#Set1 and https://www.cdc.gov/
growthcharts/clinical_charts.htm#Set2.
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measurement, the measuring- or
authoring-type source of the vital sign
measurement, the patient’s date of birth,
and the patient’s sex in accordance with
the standard we propose to adopt at
§ 170.207(n)(1). We believe offering
optional certification to these three vital
signs can provide value in settings
where pediatric and adolescent patients
are provided care.
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Request for Comments on Vital Signs
Proposal
We intend that the LOINC® codes
proposed for attribution to the vital
signs in the list above are neutral to, and
therefore can encompass, any clinically
reasonable method of measurement that
is commonly used in obtaining vital
signs in the course of clinical
encounters in a wide variety of contexts,
including but not limited to, primarycare office/clinic visits, emergency
department visits, and routine inpatient
admissions processes. For example, this
would mean the system would attribute
‘‘body height’’ to LOINC® code 8302–2
for the measurement of how tall or long
the patient is. This measurement is
collected as part of routine vital signs
observation regardless of whether this
clinical observation was made by
measuring a standing or supine adult/
child, or a supine infant, or by
estimating through clinically reasonable
methods the height/length of an adult or
child who cannot be measured in a
standing or fully supine position.
Likewise, we propose to attribute a
specific LOINC® code for body
temperature regardless of whether the
temperature was measured by a liquidfilled, digital/electronic, or infrared
(non-contact) thermometer. The choice
of UCUM unit code will indicate
whether the measurement was taken in
English or metric units. The metadata
describing the source of the
measurement would provide the context
of the device that was used to perform
the measurement. We reiterate that the
intent behind this ‘‘vital signs’’ proposal
is to ensure that the data a user enters
into a health IT system is semantically
and syntactically identical to the
information coming out of the system
and being exchanged, allowing other
users to unambiguously and
consistently interpret the information.
We anticipate that stakeholders may
want to expand the list of metadata
beyond the date, time, and source of
vital sign measurement. We welcome
comment on additional vital sign
metadata that we should consider for
inclusion and the best available
standards for representing the metadata
(e.g., LOINC® or a similar standard).
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Health IT users may currently capture
vital signs in more granular LOINC®
codes that specify the method of
measurement. We therefore solicit
comment on the feasibility and
implementation considerations for our
proposals that rely on less granular
LOINC® codes for attribution to vital
sign measurements and the inclusion of
accompanying metadata. Additionally,
we solicit comment on the following
issues:
• Support for or against the proposal
to require attribution of vital sign values
using specific LOINC® codes and
associated metadata;
• whether our proposal will
accomplish the stated goal of ensuring
that the vital signs data a user enters
into a health IT system is semantically
and syntactically identical to the
information coming out of the system
and being exchanged;
• whether the LOINC® codes
proposed above are the correct ones for
representing the vital sign concepts
broadly, including any method of
measurement; and
• standards for recording the source
of the vital sign measurement.
We also solicit comment on whether
we should require a Health IT Module
to be able to record metadata specific to
particular vital signs results/findings.
This could provide additional
contextual information (e.g., position for
diastolic and systolic blood pressure,
whether the patient is breathing
supplemental oxygen, the site of the
temperature such as oral or rectal,
pregnancy status for BMI, and whether
the vital sign was measured or selfreported). Because the LOINC® code
associated with some vital sign concepts
we are proposing may include whether
the vital sign was measured or selfreported (e.g., body weight measured),
we also request comment on which
specific vital signs should include
metadata on whether it was measured or
self-reported. If we were to require a
Health IT Module to be able to record
metadata specific to particular vital
signs, we solicit comment on what
additional metadata should be required
for certification and what standards
(e.g., LOINC® or a similar standard) we
should consider for representing that
data.
We note, with respect to arterial
oxygen saturation, that we are proposing
here the type of measurement that we
understand to be commonly performed
as part of vital signs observation across
a wide variety of clinical settings. We
are aware that in some clinical
circumstances oxygen saturation in
arterial blood by pulse oximetry is not
a sufficiently precise measurement to
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support sound clinical decisions. We
therefore invite comment as to whether
we should consider defining the arterial
blood oxygen saturation vital sign in a
more method-agnostic way, and
whether we should also require capture
and exchange of more robust metadata
to ensure technology could reliably
identify to clinicians seeking to use the
value whether it was measured by pulse
oximetry or a more precise but more
invasive and, in most clinical contexts,
less commonly performed arterial blood
gas (ABG) test.
We propose in a later section of this
proposed rule that vital signs be
represented in same manner for the
‘‘Common Clinical Data Set’’ definition
as it applies to the certification of health
IT to the 2015 Edition. Note that the
optional portions of the proposed vital
signs criterion would not be required for
the ‘‘Common Clinical Data Set’’ (i.e.,
BMI percentile per age and sex for
youth, weight for length for infants,
head occipital-frontal circumference by
tape measure, calculating BMI, and
plotting and displaying growth charts.)
Please see section III.B.3 (‘‘Common
Clinical Data Set’’) of this preamble for
further discussion of this associated
proposal.
• Problem List
2015 Edition Health IT Certification Criterion
§ 170.315(a)(7) (Problem list)
We propose to adopt a 2015 Edition
‘‘problem list’’ certification criterion
that is revised in one way as compared
to the 2014 Edition ‘‘problem list’’
certification criterion (§ 170.314(a)(5)).
We propose to include the September
2014 Release of the U.S. Edition of
SNOMED CT® in the 2015 Edition
‘‘problem list’’ certification criterion as
the baseline version permitted for
certification to this criterion. The 2014
Edition ‘‘problem list’’ criterion
included the July 2012 Release of
SNOMED CT® (International Release
and the U.S. Extension) as the baseline
version permitted for certification. We
also refer readers to section III.A.2.d
(‘‘Minimum Standards’’ Code Sets) for
further discussion of our adoption of
SNOMED CT® as a minimum standards
code set and our proposal to adopt the
September 2014 Release (U.S. Edition),
or potentially a newer version if
released before a subsequent final rule,
as the baseline for certification to the
2015 Edition.
• Medication List
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2015 Edition Health IT Certification Criterion
§ 170.315(a)(8) (Medication list)
We propose to adopt a 2015 Edition
‘‘medication list’’ certification criterion
that is unchanged as compared to the
2014 Edition ‘‘medication list’’
certification criterion (§ 170.314(a)(6)).
To note, this proposed criterion does
not reference any standards or
implementation specifications.
• Medication Allergy List
2015 Edition Health IT Certification Criterion
§ 170.315(a)(9) (Medication allergy list)
We propose to adopt a 2015 Edition
‘‘medication allergy list’’ certification
criterion that is unchanged as compared
to the 2014 Edition ‘‘medication allergy
list’’ certification criterion
(§ 170.314(a)(7)).
We received comments in response to
the Voluntary Edition proposed rule
suggesting that a ‘‘medication allergy
list’’ criterion should include also other
types of allergies and intolerances, such
as food and environmental allergies (79
FR 54451–52). We are aware of a
number of vocabularies and code sets
that could support food and
environmental allergies as well as
medications, but believe that the
industry is working on identifying ways
that multiple vocabularies and code sets
can be used together in an interoperable
way to support coding of allergies.
Therefore, at this time, there is no ready
solution for using multiple vocabularies
to code allergies that could be adopted
for the purposes of certification.
• Clinical Decision Support
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2015 Edition Health IT Certification Criterion
§ 170.315(a)(10) (Clinical decision support)
Health IT is key component of
advanced health models and delivery
system reform. CDS is a primary means
of supporting the implementation of
best evidence and new knowledge at the
point of care and in real time (see our
definition of ‘‘CDS intervention’’
discussed at 77 FR 13847). When
effective decision support is presented
in a useful manner, it enhances usability
and helps providers and patients avoid
medical errors. Therefore, we believe
that clinical decision support is a
crucial feature of certified health IT.
We propose to adopt a 2015 Edition
‘‘clinical decision support’’ certification
criterion that is revised in comparison
to the 2014 Edition ‘‘CDS’’ criterion
(§ 170.314(a)(8)). We propose to adopt
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and include an updated ‘‘Infobutton’’ 32
standard and two updated associated
IGs. We propose to require certification
only to the Infobutton standard (and an
associated IG) for identifying diagnostic
or therapeutic reference information.
We propose to require that a Health IT
Module presented for certification to
this criterion be able to record users’
actions in response to CDS
interventions. Last, we have revised the
regulation text in comparison to the
2014 Edition CDS criterion to provide
more clarity for certification to this
proposed criterion as well as guidance
for certification to the 2014 Edition CDS
criterion.
Infobutton Standard and IGs
We propose to adopt and include the
updated Infobutton standard (Release 2,
June 2014) 33 in the proposed 2015
Edition CDS criterion. Infobutton
provides a standard mechanism for
health IT systems to request contextspecific clinical or health knowledge
from online resources. We propose to
adopt and include the HL7
Implementation Guide: ServiceOriented Architecture Implementations
of the Context-aware Knowledge
Retrieval (Infobutton) Domain, Release
1, August 2013 (‘‘SOA Release 1 IG’’) 34
in the CDS criterion. The SOA Release
1 IG includes additional conformance
criteria, redesigns extensions, revises
possible values, and includes support
for an additional format for representing
knowledge responses. We also propose
to adopt and include in the proposed
2015 Edition CDS criterion the updated
Infobutton URL-based IG (HL7 Version
3 Implementation Guide: Context-Aware
Knowledge Retrieval (Infobutton),
Release 4, June 2014) (‘‘URL-based
Release 4 IG’’).35 The IG provides a
standard mechanism for health IT to
submit knowledge requests to
knowledge resources over the HTTP
protocol using a standard URL format.
We propose to adopt the updated
Infobutton standard with the SOA
Release 1 IG at § 170.204(b)(3). We
propose to adopt the updated Infobutton
standard with the URL-based Release 4
IG at § 170.204(b)(4). We clarify that as
proposed, a Health IT Module presented
for certification would need to
demonstrate the ability to electronically
32 Infobutton’’ is typically the shorthand name
used to refer to the formal standard’s name: HL7
Version 3 Standard: Context-Aware Retrieval
Application (Infobutton)
33 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=208.
34 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=283.
35 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=22.
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identify for a user diagnostic and
therapeutic reference information in
accordance with § 170.204(b)(3) or (b)(4)
(i.e., Infobutton and the SOA Release 1
IG or Infobutton and the URL-based
Release 4 IG).
For certification to the 2014 Edition
CDS criterion, we permit a health IT to
be certified if it can electronically
identify for a user diagnostic and
therapeutic reference information using
the Infobutton standard or another
method (§ 170.314(a)(8)(ii)). For the
2015 Edition CDS criterion, we propose
to require that a Health IT Module must
be able to identify linked referential
CDS information using the Infobutton
standard only, as we believe this is the
best consensus-based standard available
to support this use case. We have taken
this approach because certification
focuses on the capabilities health IT can
demonstrate (where applicable,
according to specific standards) and not
on how it is subsequently used. Thus,
with this focus we believe we can
refrain from continuing a regulatory
requirement (i.e., requiring ‘‘another
method’’ for certification) from the 2014
Edition to the 2015 Edition.
For the proposed 2015 Edition
‘‘patient-specific education resources’’
certification criterion discussed later in
this section of the preamble, we
propose, for the purposes of
certification, to require that a Health IT
Module be able to request patientspecific education resources based on a
patient’s preferred language. We believe
this capability would assist providers in
addressing and mitigating certain health
disparities. We solicit comment on
whether we should require this
functionality as part of the CDS
certification criterion for reference
materials identified using the Infobutton
standards, including examples of use
cases for which this functionality would
be appropriate. We note that if should
require a Health IT Module to be able
to request patient-specific education
resources based on a patient’s preferred
language as part of the CDS criterion,
the availability of resources in a
patient’s preferred language depends on
the material supported by the content
provider. Therefore, to clarify, testing
and certification would focus on the
ability of the Health IT Module to make
the request using a preferred language
and Infobutton.
CDS Intervention Response
Documentation
We solicited comment in the
Voluntary Edition proposed rule on
whether a Health IT Module should be
able to record users’ responses to the
DD/DAI checks that are performed,
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including if and when the user viewed,
accepted, declined, ignored, overrode,
or otherwise commented on the product
of a DD/DAI check. We also received
comments recommending we broaden
our consideration to include
functionality for recording user
responses for all CDS interventions. We
believe that this functionality could be
valuable for all CDS interventions, not
solely DD/DAI checks, because it could
assist with enhancing CDS intervention
design and implementation, quality
improvement, and patient safety.
As such, we propose that the CDS
criterion include functionality at
§ 170.315(a)(10)(vi) that would require a
Health IT Module to be able to record
at least one action taken and by whom
when a CDS intervention is provided to
a user (e.g., whether the user viewed,
accepted, declined, ignored, overrode,
provided a rationale or explanation for
the action taken, took some other type
of action not listed here, or otherwise
commented on the CDS intervention).
We also propose that a Health IT
Module be able to generate either a
human readable display or human
readable report of the responses and
actions taken and by whom when a CDS
intervention is provided.
We note that we do not believe that
a Health IT Module’s ability to record
user responses should increase provider
burden in order to just meet this
criterion. For example, we would not
encourage implementations that would
unnecessarily (e.g., for a non-clinical or
safety-related reason) interrupt a
provider’s workflow and require the
provider to document the reason just to
meet this criterion. Rather, we
encourage health IT developers to
leverage current best practices for
presenting, documenting, and
facilitating the safest and most
appropriate clinical options in response
to CDS interventions.
Clarifying ‘‘Automatically’’ and
‘‘Triggered’’ Regulatory Text
CDS can include a broad range of
decision support interventions and are
not solely limited to alerts. Our 2014
Edition ‘‘CDS’’ criterion uses the terms
‘‘automatically’’ and ‘‘triggered’’ when
referencing interventions. The use of
‘‘trigger’’ and ‘‘automatic’’ can be
associated with CDS rules or alerts, but
may not encompass all kinds of CDS
interventions. For example, CDS could
be seamlessly presented in the user
interface (e.g., a dashboard display) or
selected by the user within the
workflow (e.g., Infobutton or
documentation flowsheets). The use of
‘‘automatically’’ and ‘‘trigger’’ as related
to CDS interventions in the 2014 Edition
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‘‘CDS’’ caused confusion as to what
types of CDS interventions were
permitted. To clarify, our intent is to
encompass all types of CDS
interventions without being prescriptive
on how the interventions are deployed
(e.g., automatic, triggered, selected,
seamless, or queried). As such, we are
not using the terms ‘‘automatically’’ and
‘‘trigger’’ as related to CDS interventions
in the regulatory text for this 2015
Edition certification criterion. However,
we do not propose to change the
regulatory text language in the 2014
Edition ‘‘CDS’’ certification criterion as
current testing and certification under
the ONC Health IT Certification Program
permits the other types of interventions
we have described above.
2014 Edition ‘‘Clinical Decision
Support’’ Certification Criterion—
Corrections
We propose to revise the crossreference in § 170.314(a)(8)(iii)(B)(2)
(CDS configuration) to more specifically
cross-reference the 2014 ToC criterion
(§ 170.314(b)(1)(iii)(B)). This more
specific cross reference aligns with the
our other proposed revision to this
criterion, which is to add a crossreference to § 170.314(b)(9)(ii)(D). We
inadvertently omitted the crossreference to § 170.314(b)(9)(ii)(D) in the
2014 Edition Release 2 final rule. These
revised cross-references would more
clearly indicate that health IT certified
to the 2014 Edition CDS criterion would
need to enable CDS interventions when
a patient’s medications, medication
allergies, and problems are incorporated
from a transition of care/care referral
summary.
• Drug Formulary and Preferred Drug
List Checks
2015 Edition Health IT Certification Criterion
§ 170.315(a)(11) (Drug-formulary and preferred drug list checks)
We propose to adopt a 2015 Edition
‘‘drug formulary checks and preferred
drug list’’ certification criterion that is
revised in comparison to the 2014
Edition ‘‘drug formulary checks’’
certification criterion (§ 170.314(a)(10)).
We propose a criterion that is split
based on drug formularies and preferred
drug lists. For drug formularies, we
propose that a Health IT Module must
(1) automatically check whether a drug
formulary exists for a given patient and
medication and (2) receive and
incorporate a formulary and benefit file
according to the NCPDP Formulary and
Benefit Standard v3.0 (‘‘v3.0’’). We
propose to adopt v3.0 at § 170.205(n)(1),
but also solicit comment on more recent
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versions of the NCPDP Formulary and
Benefit Standard. For preferred drug
lists, we propose that a Health IT
Module must automatically check
whether a preferred drug list exists for
a given patient and medication. This
situation applies where the health IT
system does not use external drug
formularies, such as in a hospital health
IT system. We also propose, for both
drug formularies and preferred drug
lists, that a Health IT Module be capable
of indicating the last update of a drug
formulary or preferred drug list as part
of certification to this criterion. We
believe that health IT should indicate
the last update of the drug formulary or
preferred drug list so the provider
knows how recently the information
was last updated. We also solicit
comment on the best standard for
individual-level, real-time formulary
benefit checking to address the patient
co-pay use case, and whether we should
offer health IT certification to the
standard for this use case.
As described in more detail in the
Voluntary Edition proposed rule (79 FR
10892), CMS finalized a proposal to
recognize NCPDP Formulary and
Benefit Standard v3.0 as a backwards
compatible version of NCPDP
Formulary and Benefit Standard 1.0 for
the period of July 1, 2014 through
February 28, 2015, and to retire version
1.0 and adopt version 3.0 as the official
Part D e-Prescribing standard on March
1, 2015 (78 FR 74787–74789). In
response to the Voluntary Edition
proposed rule, we received comments
supporting adoption of the NCPDP
Formulary and Benefit Standard v3.0
(‘‘v3.0’’) for this edition of certification
criteria. Those commenters in support
of adopting v3.0 noted the potential to
reduce file sizes, which is beneficial
when checking thousands of drug
formularies on a daily basis. We agree
with those commenters that v3.0 is the
best available option for standardizing
the implementation of drug-formulary
checks in health IT and for its potential
to reduce file sizes. As noted above, the
adoption of v3.0 would also align with
CMS’ adoption of version 3.0 as the
official Part D e-Prescribing standard
beginning March 1, 2015.
We are aware that more recent
versions of the NCPDP Formulary and
Benefit Standard. Versions 4.0 (‘‘v4.0’’)
(January 2013), 4.1 (‘‘v4.1’’) (October
2013), and 42 (October 2014) (‘‘v42’’) 36
have been published and are available
for industry use. At the time of this
36 Please note a change to the naming convention
to Version 42 and Version 43, as NCPDP accepted
a change request to remove the period in version
numbering.
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proposed rule, we understand that the
NCPDP is currently developing and
balloting Version 43 (‘‘v43’’). Version
4.0 has minor changes compared to
v3.0, including removal of values from
an unused diagnosis code,
typographical corrections, and a change
to the standard length of the name field.
Version 4.1 removes files to support
electronic prior authorization (ePA)
transactions since these have been
added to the NCPDP SCRIPT Standard
Implementation Guide v2013011
(January 2013) and later versions, makes
typographical corrections, adds a new
coverage type for ePA routing, and adds
an RxNorm qualifier to some data
elements. V42 includes changes to
reduce the file size. Stakeholder
feedback has indicated that v4.0, v4.1,
and v42 are backwards compatible with
v3.0 for the elements that are the same
as compared to v3.0.
We received mixed comments in
response to the Voluntary Edition
proposed rule on whether it is more
appropriate to adopt v4.0 instead of v3.0
(79 FR 54454). Some commenters were
concerned about known problems with
v3.0 and indicated v4.0 could fix these
known problems. Conversely, other
commenters stated that v4.0 was too
unstable and new for an edition of
certification criteria that was anticipated
to be adopted and in use in 2014. With
these comments in mind, we solicit
comment on whether we should adopt
v4.0, v4.1, or v42 of the NCPDP Drug
and Formulary Benefit Standard instead
of v.3.0 for the proposed 2015 Edition
‘‘drug formulary checks and preferred
drug list’’ criterion and what
unintended impacts this could have on
the industry given the Part D
requirements.
We believe there is value in certifying
that health IT is able to receive and
incorporate a formulary and benefit file
in accordance with the NCPDP
Formulary and Benefit Standard v3.0.
Systems would be able to incorporate
more updated or complete formulary
and benefit files to inform providers as
they make determinations about which
medications to prescribe their patients.
We seek to understand the potential
system burden in incorporating
formulary and benefit files and,
therefore, seek comment on this issue.
In the Voluntary Edition proposed
rule, we noted that the NCPDP
Formulary and Benefit Standard v3.0
did not address individual-level, realtime formulary benefit checking.
Comments in response to the Voluntary
Edition proposed rule noted that the
ASC X12 270/271 Health Care Eligibility
Benefit Inquiry and Response standard
could perform individual-level, real-
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time formulary benefit checking in
addition to the NCPDP
Telecommunication Standard.
Commenters also noted that eprescribing networks could provide this
service to customers within proprietary
networks. We are aware of a recently
established NCPDP task group that is
defining potential use cases and
business requirements for real-time
benefit checking.
We continue to believe in the value of
providers and patients knowing what
the patient’s cost sharing
responsibilities are at the point of care
for a given medication to inform
discussions about a patient’s care.
Therefore, for this use case, we ask
commenters to identify the best
standard(s) for individual-level, realtime (at the point of care) formulary
benefit checking and describe how the
standard addresses this use case. We
also solicit comment on whether we
should offer certification for this use
case using the appropriate standard for
individual-level, real-time formulary
benefit checking and whether it should
be part of the 2015 Edition ‘‘drug
formulary and preferred drug list
checks’’ certification criterion or a
standalone certification criterion.
• Smoking Status
2015 Edition Health IT Certification Criterion
§ 170.315(a)(12) (Smoking status)
We propose to adopt a 2015 Edition
‘‘smoking status’’ certification criterion
that is revised in comparison to the
2014 Edition ‘‘smoking status’’ criterion
(§ 170.314(a)(11)). We propose that a
Health IT Module must be able to
record, change, and access smoking
status in any of the available codes for
smoking status in, at a minimum, the
September 2014 Release of the U.S.
Edition of SNOMED CT®.37 We have
taken this more flexible approach
because there is no longer a proposed
meaningful use objective and measure
associated with this requirement and,
thus, no specific requirement for certain
codes to be used toward numerator
calculation.
We note, however, that the 8 smoking
status SNOMED CT® codes identified in
§ 170.207(h) 38 remain the same codes as
37 We refer readers to section III.A.2.d
(‘‘Minimum Standards’’ Code Sets) for further
discussion of our adoption of SNOMED CT® as a
minimum standards code set and our proposal to
adopt the September 2014 Release (U.S. Edition), or
potentially a newer version if released before a
subsequent final rule, as the baseline for
certification to the 2015 Edition.
38 These 8 codes are: Current every day smoker,
449868002; current some day smoker,
428041000124106; former smoker, 8517006; never
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identified for the 2014 Edition. They are
also the value set included in the
Common Clinical Data Set for the 2015
Edition and the only codes permitted for
representing smoking status for
electronic transmission in a summary
care record for the purposes of
certification. Therefore, a Health IT
Module certified to certification criteria
that reference the Common Clinical Data
Set (i.e., the ToC, data portability, VDT,
Consolidated CDA creation
performance, and application access to
the Common Clinical Data Set
certification criteria) would need to be
able to code smoking status in only the
8 smoking status codes, which may
mean mapping other smoking status
codes to the 8 codes.
We also note that we would not
expect the user interface to include a
drop-down menu of all available
SNOMED CT® smoking status codes, as
we believe doing so could have negative
workflow effects. Rather, we expect that
health IT developers and health care
providers would work together to
establish the appropriate
implementation given the care setting.
We propose to include the 2015
Edition ‘‘smoking status’’ certification
criterion in the 2015 Edition Base EHR
definition. Please see section III.B.1 of
this preamble for further discussion of
this associated proposal.
• Image Results
2015 Edition Health IT Certification Criterion
§ 170.315(a)(13) (Image results)
We propose to adopt a 2015 Edition
‘‘image results’’ certification criterion
that is unchanged in comparison to the
2014 Edition ‘‘image results’’ criterion
(§ 170.314(a)(12)).
• Family Health History
2015 Edition Health IT Certification Criterion
§ 170.315(a)(14) (Family health history)
2015 Edition Health IT Certification Criterion
§ 170.315(a)(15) (Family health history—
pedigree)
We propose to adopt two 2015 Edition
‘‘family health history’’ (FHH)
certification criteria. Both proposed
criteria are revised in comparison to the
2014 Edition FHH certification criterion
(§ 170.314(a)(13)). The proposed 2015
Edition FHH certification criterion at
§ 170.315(a)(14) would require
smoker, 266919005; smoker—current status
unknown, 77176002; unknown if ever smoked,
266927001; heavy tobacco smoker,
428071000124103; and light tobacco smoker,
428061000124105.
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technology to enable a user to record,
change, and access a patient’s FHH
electronically according to, at a
minimum, the concepts or expressions
for familial conditions included in the
September 2014 Release of the U.S.
Edition of SNOMED CT®. We refer
readers to section III.A.2.d (‘‘Minimum
Standards’’ Code Sets) for further
discussion of our adoption of SNOMED
CT® as a minimum standards code set
and our proposal to adopt the
September 2014 Release (U.S. Edition),
or potentially a newer version if
released before a subsequent final rule,
as the baseline for certification to the
2015 Edition.
The proposed 2015 Edition FHH—
pedigree certification criterion at
§ 170.315(a)(15) would require
technology to enable a user to create and
incorporate a patient’s FHH according to
HL7 Pedigree standard and the HL7
Pedigree IG, HL7 Version 3
Implementation Guide: Family History/
Pedigree Interoperability, Release 1.39
We believe that this approach gives the
most flexibility to health IT developers
and providers to develop, adopt, and
implement technology that supports
their clinical documentation needs,
while still enabling interoperability. For
example, some providers may only need
technology that supports FHH coding in
SNOMED CT®. Other providers may
also want technology that supports
genomic coding, which HL7 Pedigree
can support. The adoption of two
separate criteria can more effectively
support different use cases and clearly
identify the capabilities to which health
IT has been certified.
As part of the 2014 Edition final rule,
we incorrectly assigned the HL7
Pedigree standard to § 170.207 where
we adopt ‘‘vocabulary’’ standards.
Accordingly, for the 2015 Edition, we
have placed the HL7 Pedigree standard
and its IG in § 170.205(m)(1) to more
accurately place it in the ‘‘content’’
exchange standards section of the CFR.
• Patient List Creation
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2015 Edition Health IT Certification Criterion
§ 170.315(a)(16) (Patient list creation)
We propose to adopt a 2015 Edition
‘‘patient list creation’’ certification
criterion that is unchanged in
comparison to the 2014 Edition ‘‘patient
list creation’’ criterion
(§ 170.314(a)(14)). We propose to
incorporate our guidance provided in
FAQ 39 40 into the 2015 Edition ‘‘patient
39 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=301.
40 https://www.healthit.gov/policy-researchersimplementers/39-question-04-13–039.
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list creation’’ criterion. Specifically, the
text of the 2015 Edition ‘‘patient list
creation’’ certification criterion provides
that a Health IT Module must
demonstrate its capability to use at least
one of the more specific data categories
included in the ‘‘demographics’’
certification criterion (§ 170.315(a)(5))
(e.g., sex or date of birth).
• Patient-Specific Education
Resources
2015 Edition Health IT Certification Criterion
§ 170.315(a)(17) (Patient-specific education
resources)
We propose to adopt a 2015 Edition
‘‘patient-specific education resources’’
certification criterion that is revised in
comparison to the 2014 Edition
‘‘patient-specific education resources’’
certification criterion (§ 170.314(a)(15)).
We propose that certification would
only focus on the use of Infobutton for
this certification criterion instead of
Infobutton and any means other than
Infobutton as required by the 2014
Edition criterion. We have reviewed the
regulatory burden posed by the 2014
Edition criterion and determined that
there is diminished value in continuing
to frame the 2015 Edition certification
criterion in this way. We continue to
believe, however, that the Infobutton
capability is important to be available to
providers to have and use to identify
patient-specific education resources.
We propose to adopt the updated
Infobutton standard (Release 2 and the
associated updated IGs (SOA-based IG
and URL-based IG)). These are
discussed in more detail under the
‘‘CDS’’ certification criterion earlier in
this section of the preamble. We also
note that we no longer include a
requirement that health IT be capable of
electronically identifying patientspecific education resources based on
‘‘laboratory values/results.’’ We
understand from stakeholder feedback
on the 2014 Edition version of this
criterion and our own research that the
Infobutton standard cannot fully
support this level of data specificity. For
example, Infobutton could likely
provide something useful for results that
are a concept like ‘‘E.coli,’’ but not
necessarily a numerical laboratory
result.
We also propose that a Health IT
Module be able to request patientspecific education resources based on a
patient’s preferred language as this
would assist providers in addressing
and mitigating certain health disparities.
More specifically, we propose that a
Health IT Module must be able to
request that patient-specific education
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resources be identified (using
Infobutton) in accordance with RFC
5646. We are aware, however, that
Infobutton only supports a value set of
ISO 639–1 for preferred language and,
therefore, testing and certification of
preferred language for this certification
criterion would not go beyond the value
set of ISO 639–1. To note, we also
understand that the language of patient
education resources returned through
Infobutton is dependent on what the
source can support. Thus, we reiterate
that testing and certification would
focus on the ability of the Health IT
Module to make the request using a
preferred language and Infobutton.
• Electronic Medication
Administration Record
2015 Edition Health IT Certification Criterion
§ 170.315(a)(18) (Electronic medication administration record)
We propose to adopt a 2015 Edition
electronic medication administration
record (eMAR) certification criterion
that is unchanged in comparison to the
2014 Edition ‘‘eMAR’’ criterion
(§ 170.314(a)(16)).
• Patient Health Information Capture
2015 Edition Health IT Certification Criterion
§ 170.315(a)(19) (Patient health information
capture)
We propose to adopt a new 2015
Edition ‘‘patient health information
capture’’ certification criterion that
would ‘‘replace’’ the 2014 Edition
‘‘advance directives’’ certification
criterion (§ 170.314(a)(17)) for the
purposes of certification to the 2015
Edition. The HITPC recommended, as
part of their EHR Incentive Programs
Stage 3 recommendations, that we adopt
a certification criterion for ‘‘advance
directives’’ that would require a Health
IT Module to be capable of storing an
advance directive and/or including
more information about the advance
directive, such as a link to the advance
directive or instructions regarding
where to find the advance directive or
more information about it.41 We agree
with this recommendation in that more
functionality should be demonstrated
for certification as it relates to advance
directives. Further, we believe that the
functionality described by the HITPC
can be more broadly applicable and,
thus, have named this certification
criterion to reflect functionality that can
be applied to various patient health
information documents. For example,
41 https://www.healthit.gov/facas/sites/faca/files/
HITPC_MUWG_Stage3_Recs_2014-04-01.pdf.
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we believe such capabilities could be
applicable to birth plans as well as
advance directives.
For certification to this criterion, we
propose that a Health IT Module would
need to properly identify health
information documents for users (e.g.,
label health information documents as
advance directives and birth plans). A
Health IT Module would also need to be
able to demonstrate that it could enable
a user to record (capture and store) and
access (ability to examine or review)
health information documents.
We further propose that a Health IT
Module would need to be able to
reference health information
documents, which means providing
narrative information on where to locate
a specific health information document.
A Health IT Module would also need to
demonstrate that it can link to patient
health information documents.
‘‘Linking’’ would require a Health IT
Module to demonstrate it could link to
an internet site storing a health
information document. While an
intranet link to a health information
document might suffice for provider
use, a Health IT Module would still
need to demonstrate the ability to link
to an external site via the internet for
the purposes of certification.
We also propose that a Health IT
Module would be required to
demonstrate that it could enable a user
to record and access information
directly and electronically shared by a
patient. This could come from multiple
sources, including patient information
provided directly from a mobile device.
To note, we have not proposed any
specific standards for this criterion
related to receiving and accepting
information directly and electronically
shared by a patient.
We clarify that these capabilities may
not be applicable to every patient health
information document, but a Health IT
Module would need to be able to
perform all of these capabilities
electronically for certification to this
criterion.
• Implantable Device List
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2015 Edition Health IT Certification Criterion
§ 170.315(a)(20) (Implantable device list)
We propose to adopt a new 2015
Edition certification criterion focused
on the ability of a Health IT Module to
record, change, and access a list of
unique device identifiers (UDIs) 42
42 A UDI is a unique numeric or alphanumeric
code that consists of two parts: (1) a device
identifier (DI), a mandatory, fixed portion of a UDI
that identifies the labeler and the specific version
or model of a device, and (2) a production identifier
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corresponding to a patient’s implantable
devices (‘‘implantable device list’’),
parse certain data from a UDI, retrieve
the ‘‘Device Description’’ attribute
associated with a UDI in the Global
Unique Device Identification Database
(GUDID), and make accessible to a user
both the parsed and retrieved data. The
proposed criterion represents a first step
towards enabling health IT to facilitate
the widespread availability and use of
unique device identifiers to prevent
device-related adverse events, enhance
clinical decision-making related to
devices, improve the ability of
clinicians to respond to device recalls
and device-related safety information,
and achieve other important benefits,
consistent with the fundamental aims of
the HITECH Act 43 and the HHS Health
IT Patient Safety Action and
Surveillance Plan.44
FDA issued the Unique Device
Identification System final rule on
September 24, 2013.45 The rule
implements a statutory directive to
establish a ‘‘unique device identification
system’’ for medical devices that will
enable adequate identification of
devices through distribution and use.46
It accomplishes this objective by
requiring device labelers (usually the
device manufacturer) to include a UDI
on the label and packages of most
medical devices subject to FDA
jurisdiction. In addition, for each device
with a UDI, the labeler must submit a
standard set of identifying data elements
to the FDA-administered GUDID, which
(PI), a conditional, variable portion of a UDI that
identifies one or more of the following when
included on the label of a device: the lot or batch
number within which a device was manufactured;
the serial number of a specific device; the
expiration date of a specific device; the date a
specific device was manufactured; the distinct
identification code required by 21 CFR 1271.290(c)
for a human cell, tissue, or cellular and tissue-based
product (HCT/P) regulated as a device. https://
www.fda.gov/MedicalDevices/
DeviceRegulationandGuidance/
UniqueDeviceIdentification/.
43 Specifically, the certification criterion supports
the National Coordinator’s responsibility under the
HITECH Act to ensure that the nation’s health IT
infrastructure supports activities that reduce
medical errors, improve health care quality,
improve public health activities, and facilitate the
early identification and rapid response to public
health threats and emergencies. 42 U.S.C. 300jj–
11(b)(2) & (7).
44 ONC, HHS Health IT Patient Safety Action and
Surveillance Plan (July 2013), https://
www.healthit.gov/policy-researchers-implementers/
health-it-and-patient-safety (hereinafter ‘‘Health IT
Safety Plan’’). The first objective of the Health IT
Safety Plan is to use health IT to make care safer.
See id. at 7. The Plan specifically contemplates that
ONC will update its standards and certification
criteria to improve safety-related capabilities and
add new capabilities that enhance patient safety.
45 78 FR 58786.
46 21 U.S.C. 360i(f).
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will be publicly accessible.47 Full
implementation of the UDI system for
devices that are implantable, life-saving,
and life-sustaining is required by
September 2015.48
We first proposed to adopt a
certification criterion for implantable
devices in the Voluntary Edition
proposed rule (79 FR 10894). We
received a large volume of comments on
our proposal, many of which supported
the adoption of a UDI-related
certification criterion focused on
implantable device list functionality.
Some supporters of our proposal
suggested that we wait to adopt it in our
next rulemaking cycle in order to allow
relevant standards and use cases to
mature. Other commenters, mostly
health IT developers, suggested that the
proposed criterion would be applicable
only to health IT systems designed for
surgical or specific inpatient settings in
which devices are implanted, and
therefore suggested that we reduce the
scope of the criterion to those settings.49
For the reasons stated in the 2014
Edition Release 2 final rule,50 we
finalized only a small subset of the
criteria we had originally proposed in
the Voluntary Edition proposed rule.
These criteria focused on adding
flexibility and making improvements to
the 2014 Edition. Consistent with this
reduced scope, we did not finalize an
implantable device list criterion at that
time, stating instead our intention to
propose such a criterion in our next
rulemaking that would provide
additional detail and clarity, as well as
respond to concerns raised by
commenters.
We continue to believe that
incorporating UDIs in health IT is
important and necessary to realize the
significant promise of UDIs and FDA’s
47 See FDA, Global Unique Device Identification
Database (GUDID) Guidance for Industry and Food
and Drug Administration Staff (June 27, 2014),
available at https://www.fda.gov/downloads/
MedicalDevices/DeviceRegulationandGuidance/
GuidanceDocuments/UCM369248.pdf.
48 Pursuant to 21 U.S.C. 360i(f), FDA must
implement the Unique Device Identification System
Final Rule with respect to devices that are
implantable, life-saving, and life sustaining not later
than 2 years after the rule was finalized. Other
implementation and compliance dates are detailed
in the final rule. Compliance dates for UDI
implementation will be phased in based on the
existing risk-based classification of medical devices:
September 2014 for devices classified by FDA at the
highest risk level (Class III); September 2015 for
implantable, life-supporting or life-sustaining
devices; September 2016 for moderate risk (Class II)
devices; and September 2018 for low risk (Class I)
devices.
49 For a detailed summary of the comments we
received on our earlier implantable device list
proposal, see the 2014 Edition, Release 2, final rule
(79 FR 54458).
50 79 FR 54458.
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Unique Device Identification System to
protect patient safety and improve
health care quality and efficiency.
Crucially, recording and exchanging
UDIs in patients’ electronic health
records would enable this information
to travel with patients as they move
among providers and throughout the
health care system. With access to this
information at the point of care,
clinicians can accurately identify a
patient’s implantable devices and
prevent adverse events resulting from
misidentification or non-identification
of the device and its associated safety
characteristics (such as MRI
compatibility and latex content). Health
IT could also be leveraged in
conjunction with automated
identification and data capture (AIDC)
or other technologies to streamline the
capture and exchange of UDIs and
associated data for patients’ devices. As
UDIs become ubiquitous, UDI
capabilities in health IT could facilitate
better post-market surveillance of
devices, better and more accurate
reporting of device-related events, and
more effective corrective and
preventative action in response to
device recalls and alerts.
Fully implementing UDIs will take
time and require addressing a number of
challenges. A key challenge is that UDIs
may initially be captured in any of a
variety of clinical, inventory, registry, or
other IT systems. Robust adoption and
use of UDIs will require bridging these
different components and changing IT
and administrative processes to, among
other things, ensure that UDIs are
properly captured and associated with
patients’ electronic health records.
In December 2014, the Brookings
Institution with collaboration from FDA
published a detailed roadmap for
effective UDI implementation.51
Significantly, the roadmap’s
recommendations stated that ‘‘while the
path to full implementation is complex,
there are relatively straightforward steps
that can be done now’’ to begin realizing
the benefits of UDI implementation
across the health care system. The
roadmap’s recommendations
specifically urged ONC to support the
incorporation of UDIs into certification
criteria for health IT.
We agree that a key initial step
towards solving these challenges is
incorporating UDIs in certified health
IT. We believe now is the appropriate
51 The Brookings Institution, Unique Device
Identifiers (UDIs): A Roadmap for Effective
Implementation (December 2014) (available at
https://www.brookings.https://www.brookings.edu/∼/
media/research/files/papers/2014/12/
05%20medical%20device%20tracking%20system/
udi%20final%2012052014).
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time to take that first step. Major efforts
have been underway for some time to
harmonize and pilot health IT standards
and specifications in support of a
variety of UDI use cases, and substantial
progress has been achieved to
standardize the electronic exchange of
UDIs.52 In addition, FDA plans to
implement the GUDID in early 2015 and
require UDIs for all implantable devices
by September 2015.53 In light of this
progress on technical standards and
FDA’s timeline for UDI implementation,
we believe it is feasible for health IT
developers to begin implementing the
baseline functionality necessary to use
and exchange UDIs, and in particular for
UDIs associated with patient’s
implantable devices. Once implanted,
these devices cannot be inspected with
the naked eye and are therefore more
susceptible to misidentification and
resulting patient harm.
To meet this criterion, a Health IT
Module would have to enable a user to
record, change, and access a patient’s
implantable device list, which would
consist solely of one or more UDIs
associated with a patient’s implantable
devices. The Health IT Module would
also have to be able to parse the
following data elements from a UDI:
• Device Identifier;
52 For example, the Brookings Institution and
FDA convened a UDI Implementation Work Group
comprising device manufacturers, payers, health IT
developers, academics, clinicians, and other
stakeholders to explore opportunities and
challenges associated with capturing UDIs in
claims, identifying steps for implementation and
integration of UDIs within EHRs and other health
care IT infrastructure, and utilizing UDIs as a tool
for improved patient and provider connectivity.
https://www.brookings.edu/about/centers/health/
projects/development-and-use-of-medical-devices/
udi. The Work Group held a series of expert
workshops and in December 2014 published a
detailed roadmap for effective UDI implementation.
The Brookings Institution, Unique Device Identifiers
(UDIs): A Roadmap for Effective Implementation
(December 2014) (available at https://
www.brookings.https://www.brookings.edu/∼/
media/research/files/papers/2014/12/
05%20medical%20device%20tracking%20system/
udi%20final%2012052014). Concurrently, the HL7
Technical Steering Committee has established a
UDI Task Force to ensure that UDI is implemented
in a consistent and interoperable manner across the
suite of HL7 standards. See https://hl7tsc.org/wiki/
index.php?title=TSC_Minutes_and_Agendas. And
through an S&I Framework Structured Data Capture
Initiative, ONC, AHRQ, FDA, and NLM are
collaborating with industry stakeholders to include
UDI data for devices in health IT adverse event
reporting. See https://wiki.siframework.org/
Structured+Data+Capture+Initiative. AHRQ has
already incorporated UDI and associated data
attributes in its Common Formats for adverse event
reporting. See AHRQ Data Dictionary, Common
Formats Hospital Version 1.2, at 87, available at
https://www.psoppc.org/c/document_library/get_
file?p_l_id=375680&folderId=431263&name=DLFE15061.pdf.
53 https://www.fda.gov/MedicalDevices/
ResourcesforYou/Industry/ucm427496.htm; see also
21 U.S.C. 360i(f).
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• Batch/lot number;
• Expiration date;
• Production date; and
• Serial number.
In addition to parsing the UDI, a
Health IT Module presented for
certification would have to be able to
retrieve the optional ‘‘device
description’’ data element associated
with the Device Identifier in the GUDID,
if the data element has been populated.
This could be accomplished using the
GUDID’s web interface, web services,
downloadable module, or any other
method of retrieval permitted under
FDA’s GUDID guidance.
For each UDI in a patient’s
implantable device list, a Health IT
Module presented for certification
would have to enable a user to access
the UDI and the data elements identified
above (including the ‘‘device
description,’’ if it exists). Also, in
addition to enabling a user to record and
access UDIs for a patient’s implantable
devices and as noted above, a Health IT
Module would be required to provide
the capability to change UDIs from a
patient’s implantable device list in order
to meet this criterion. This functionality
would allow a user to delete erroneous
or duplicative entries from a patient’s
implantable device list and update the
list in the event that a device were
removed from the patient. We seek
comment on whether such functionality
is necessary and whether there is a safer
or more effective way to maintain the
accuracy of this information.
We believe that, in addition to
capturing UDIs, health IT should
facilitate the exchange of UDIs in order
to increase the overall availability and
reliability of information about patients’
implantable and other devices.
Therefore, we propose in a later section
of this rule to include the 2015 Edition
‘‘implantable device list’’ certification
criterion in the 2015 Edition Base EHR
definition and propose to include a
patient’s unique device identifier(s) as
data within the Common Clinical Data
Set definition for certification to the
2015 Edition. Please see section III.B of
this preamble for further discussion of
these associated proposals.
We have also proposed to modify
§ 170.102 to include new definitions for
‘‘Device Identifier,’’ ‘‘Implantable
Device,’’ ‘‘Global Unique Device
Identification Database (GUDID),’’
‘‘Production Identifier,’’ and ‘‘Unique
Device Identifier.’’ This will prevent any
ambiguity in interpretation and ensure
that each term’s specific meaning
reflects the same meaning given to them
in the Unique Device Identification
System final rule and in 21 CFR 801.3.
Capitalization was purposefully applied
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to each word in these defined phrases
in order to signal to readers that they
have specific meanings. Please see
section III.B of this preamble for further
discussion of these associated
proposals.
In several respects the scope of this
proposed implantable device list
criterion is narrower than the criterion
we proposed in the Voluntary Edition
proposed rule. We received comments
in response to the Voluntary Edition
proposed rule recommending clear
standards and use cases for an
‘‘implantable device list’’ criterion. With
consideration of these comments, unlike
in the Voluntary Edition proposed rule,
we do not propose that health IT
certified to the 2015 Edition
‘‘implantable device list’’ criterion be
required to exchange or display
contextual information (such as a
procedure note) associated with a UDI
because we believe additional standards
and use case development will be
needed to support these capabilities. We
request comment on whether we have
overlooked the need for or feasibility of
requiring this functionality.
We also do not propose any
requirements on health IT to facilitate
the ‘‘capture’’ of UDIs at the point of
care. As discussed above, UDIs may
initially be captured in any of a variety
of clinical and non-clinical contexts,
many of which are beyond the current
scope of health IT certified under the
ONC Health IT Certification Program.
Prescribing a requirement for capturing
UDIs in certified health IT would also
be complicated by the range of data
capture tools permitted under the UDI
final rule, including several different
types of AIDC technology. Moreover, as
several commenters pointed out in
response to our proposal in the
Voluntary Edition proposed rule, only a
subset of certified health IT users—
generally surgeons or other clinicians
who perform or assist with operations
involving implantable devices—would
have a need for such data capture
functionality, and presumably health IT
developers who specialize in health IT
for these settings can develop
appropriate solutions for these users.
Given the scope of our program and
the current state of UDI adoption, we do
not believe that it would be useful to
address these ‘‘upstream’’ issues at this
time through rulemaking. Hence our
proposal focuses on: (1) Ensuring that
certified health IT can record and
exchange UDIs for implantable devices
as part of a patient’s core electronic
health record using appropriate
standards for interoperability and
exchange so that regardless of how UDIs
are captured, they can be readily
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integrated with patients’ electronic
health records; (2) providing all users of
certified health IT with the ability to
access basic information about patients’
implantable devices, thereby promoting
greater awareness of and stimulating
additional demand for UDIs and UDIrelated capabilities in health IT; and (3)
encouraging health IT developers to
begin implementing GUDID
functionality. We believe that focusing
on these three areas of baseline UDI
functionality will provide the greatest
value to our stakeholders and efforts to
promote adoption of UDIs and realize
the significant benefits of UDIs and
FDA’s Unique Device Identification
System described in this proposal.
• Social, Psychological, and
Behavioral Data
2015 Edition Health IT Certification Criterion
§ 170.315(a)(21) (Social, psychological, and
behavioral data)
We propose a new 2015 Edition
‘‘social, psychological, and behavioral
data’’ certification criterion that would
require a Health IT Module to be
capable of enabling a user to record,
change, and access a patient’s social,
psychological, and behavioral data
based on SNOMED CT® and LOINC®
codes. This would include the ability to
record a patient’s decision not to
provide the information.
An individual’s health is shaped
largely by life circumstances that fall
outside the traditional health care
system and include social,
psychological, and behavioral factors.
These factors include, but are not
limited to, family support systems,
stress, housing, nutrition, income, and
education. This proposed certification
criterion to further the collection and
use of such patient data is not intended
to be comprehensive; rather, it reflects
efforts to further HHS priorities to
transform health delivery, to reduce
health disparities, and to achieve the
overarching goals of the National
Quality Strategy. In particular, the
proposed certification criterion supports
efforts to reduce disparities and efforts
to collect patient social, psychological,
and behavioral data for improved health
care, such as by aligning with
recommendations from HHS and the
Institute of Medicine.54
54 U.S. Department of Health and Human
Services, Office of Minority Health, 2011, HHS
Action Plan to Reduce Racial and Ethnic
Disparities: A Nation Free of Disparities in Health
and Health Care (available at: https://
www.minorityhealth.hhs.gov/npa/files/Plans/HHS/
HHS_Plan_complete.pdf); U.S. Department of
Health and Human Services, Office of the Assistant
Secretary for Planning and Evaluation, 2011,
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We believe that offering certification
that would require a Health IT Module
to enable a user to record, change, and
access a patient’s social, psychological,
and behavioral data would assist a wide
array of stakeholders (e.g., providers,
consumers, payors, community-based
organizations, and state and local
governments) in better understanding
how this data may adversely affect
health. Ultimately, this can lead to
better health outcomes for these
populations through improved patient
care, quality improvement, health
equity, and clinical decision support
based on individual factors.
We also believe the self-reporting of
information by individuals in response
to the questions included in these
social, psychological, and behavioral
measures (i.e., the question and answer
sets below) could be utilized for the
EHR Incentive Programs Stage 3 which
proposes an objective on patient
engagement, including patientgenerated health data. For more
information, please refer to the EHR
Incentive Programs Stage 3 proposed
rule published elsewhere in this issue of
the Federal Register.
We have heard from many
stakeholders recommending that we
prioritize the use of available measures
and instruments for the structured
recording of social, psychological, and
behavioral data, and have followed
those recommendations here. The
measures (questions and answers sets
below) will have LOINC® codes (or in
the case of sexual orientation and
gender identity, SNOMED CT® codes for
the answers—but no specific questions)
used to identify them. Therefore, we
propose, for certification to this
criterion, that social, psychological, and
behavioral data be coded in accordance
with, at a minimum, version 2.50 of
LOINC® as attributed in the table
below.55 Please note that some questionanswer sets for specific domains do not
currently have a LOINC® code in place;
in these instances it is expected that
LOINC® codes will be established in a
newer version of LOINC® prior to the
Implementation Guidance on Data Collection
Standards for Race, Ethnicity, Sex, Primary
Language, and Disability Status (available at: https://
aspe.hhs.gov/datacncl/standards/ACA/4302/
index.pdf); and Institute of Medicine (IOM),
November 2014, Washington, DC, The National
Academies Press, 2014, Capturing Social and
Behavioral Domains and Measures in Electronic
Health Records: Phase 2 (available at: https://
iom.edu/Reports/2014/EHRdomains2.aspx).
55 We refer readers to section III.A.2.d
(‘‘Minimum Standards’’ Code Sets) for further
discussion of our adoption of LOINC® as a
minimum standards code set and our proposal to
adopt version 2.50, or potentially a newer version
if released before a subsequent final rule, as the
baseline for certification to the 2015 Edition.
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publication of a subsequent final rule.
Please further note that we propose to
include sexual orientation and gender
identity within this certification
criterion as described after this table.
LOINC® Codes
for questionanswer list
combination
LOINC®
Answer list ID
Domain
Question(s)
[LOINC® name]
Answer(s)
[LOINC® answer code]
Financial Resource Strain
(Overall financial resource
strain from CARDIA).
How hard is it for you to pay
for the very basics like
food, housing, medical
care, and heating? Would
you say it is . . .
What is the highest level of
school you have completed or the highest degree you have received? 57
For example: Very hard, Somewhat hard,
Not hard, at all.56
LOINC® code
pending.
LOINC® code
pending.
[0] Never attended/kindergarten only ..........
[1] 1st grade ................................................
[2] 2nd grade ...............................................
[3] 3rd grade ................................................
[4] 4th grade ................................................
[5] 5th grade ................................................
[6] 6th grade.
[7] 7th grade.
[8] 8th grade.
[9] 9th grade.
[10] 10th grade.
[11] 11th grade.
[12] 12th grade, no diploma.
[13] High school graduate.
[14] GED or equivalent.
[15] Some college, no degree.
[16] Associate degree: occupational, technical, or vocational program.
[17] Associate degree; academic program.
[18] Bachelor’s degree (e.g., BA, AB, BS).
[19] Master’s degree (e.g., MA, MS, MEng,
MEd, MSW, MBA).
[20] Professional school degree (example:
MD, DDS, DVM, JD).
[21] Doctoral degree (example: PhD, EdD).
[77] Refused.
[99] Don’t know.
For example:
Likert scale ranging from 1—indicating not
at all, 2—a little bit, 3—somewhat, 4—
quite a bit, to 5—indicating very much.
63504–5 .............
LL1069–5.
LOINC® code
pending.
LOINC® code
pending.
N/A ...............................................................
55757–9 .............
N/A.
[0] Not at all, [1] Several days, [2] More
than half the days, [3] Nearly every day.
44250–9 .............
LL358–3.
[0] Not at all, [1] Several days, [2] More
than half the days, [3] Nearly every day.
44255–8 .............
LL358–3.
For example: 0–6 ........................................
5578–7 ...............
For example: 1,2,3,4,5,6,7, etc.
68515–6 .............
Answer is in
UCUM
units.59
Answer is in
UCUM
units.60
For example: 10, 20, etc.
68516–4 .............
Answer is in
UCUM units.
N/A ...............................................................
72109–2 .............
N/A.
Education (Educational attainment).
Stress (from Elo et al) 58 .......
Depression (PHQ–2) .............
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Physical Activity (Exercise
Vital Signs).
Alcohol Use (AUDIT–C) ........
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Stress means a situation in
which a person feels
tense, restless, nervous,
or anxious, or is unable to
sleep at night because his/
her mind is troubled all the
time. Do you feel this kind
of stress these days?
[Patient Health Questionnaire 2 item (PHQ–2) [Reported]].
Little interest or pleasure in
doing things in last 2
weeks [Reported.PHQ].
Feeling down, depressed or
hopeless in last 2 weeks
[Reported.PHQ].
[Patient Health Questionnaire 2 item (PHQ–2) total
score [Reported]].
How many days of moderate
to strenuous exercise, like
a brisk walk, did you do in
the last 7 days?
[SAMHSA].
On those days that you engage in moderate to strenuous exercise, how many
minutes, on average, do
you exercise? [SAMHSA].
[Alcohol Use Disorder Identification Test—Consumption [AUDIT–C].
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Domain
Question(s)
[LOINC® name]
How often do you have a
drink containing alcohol?
[SAMHSA].
How many standard drinks
containing alcohol do you
have on a typical day?
[SAMHSA].
How often do you have six
or more drinks on one occasion? [SAMHSA].
Social Connection and Isolation (NHANES III).
Exposure to violence: Intimate partner violence
(HARK 4Q).
[Total score [AUDIT–C]] .......
Are you married or living together with someone in a
partnership at the time of
questioning?
In a typical week, how many
times do you talk on the
telephone with family,
friends, or neighbors?
How often do you get together with friends or relatives?
How often do you attend
church or religious services?
How often do you attend
meetings of the clubs or
organizations you belong
to?
Within the last year, have
you been humiliated or
emotionally abused in
other ways by your partner
or ex-partner?
Within the last year, have
you been afraid of your
partner or ex-partner?
Within the last year, have
you been raped or forced
to have any kind of sexual
activity by your partner or
ex-partner?
Within the last year, have
you been kicked, hit,
slapped, or otherwise
physically hurt by your
partner or ex-partner?
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We propose to require that a Health IT
Module enable a user to record, change,
56 The answer is then scored from a scale of 1
(very hard) to 3 (not at all), and unknown answers
are scored as a negative number.
57 LOINC® Component used for the table.
58 Elo, A.-L., A. Leppanen, and A. Jahkola. 2003.
¨
Validity of a single-item measure of stress
symptoms. Scandanavian Journal of Work,
Environment & Health 29(6):444–451.
59 Note that LOINC® provides a translation table
at https://loinc.org/downloads/usage/units that
enumerates the UCUM syntax for a subset of UCUM
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[a] Never ......................................................
[b] Monthly or less .......................................
[c] 2–4 times a month .................................
[d] 2–3 times a week ...................................
[e] 4 or more times a week .........................
[a] 1 or 2 ......................................................
[b] 3 or 4 ......................................................
[c] 5 or 6 ......................................................
[d] 7 to 9 ......................................................
[e] 10 or more ..............................................
[a] Never ......................................................
[b] Less than monthly ..................................
[c] Monthly ...................................................
[d] Weekly ....................................................
[e] Daily or almost daily ...............................
N/A 61 ...........................................................
For example, these categories form an ordinal scale assessing the number of
types of social relationships on which a
person is connected and not isolated,
and has standard scoring. Individuals receive one point for each of the following:
Being married or living together with
someone in a partnership at the time of
questioning, averaging three or more social interactions per week (assessed with
questions one and two, above), reporting
attending church or other religious services more than four times per year (assessed with question three, above), and
reporting that they belong to a club or organization (assess with question four,
above). A score of 0 represents the highest level of social isolation and a score
of 4 represents the lowest level of social
isolation. 62
Pending .......................................................
and access a patient’s sexual orientation
and gender identity as part of this
certification criterion. We propose that
sexual orientation be coded in
accordance with, at a minimum, the
September 2014 Release of the U.S.
Edition of SNOMED CT® 63 and HL7
Version 3 attributed as follows:
codes that are commonly used in health IT that may
be a useful reference for stakeholders.
60 Note that LOINC® provides a translation table
at https://loinc.org/downloads/usage/units that
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LOINC® Codes
for questionanswer list
combination
Answer(s)
[LOINC® answer code]
Fmt 4701
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LOINC®
Answer list ID
68518–0 .............
LL2179–1.
68519–8 .............
LL2180–9.
68520–6 .............
LL2181–7.
............................
LOINC® code
pending.
N/A.
LOINC® code
pending.
LOINC® code
pending.
LOINC® code
pending.
enumerates the UCUM syntax for a subset of UCUM
codes that are commonly used in health IT that may
be a useful reference for stakeholders.
61 The Alcohol Use Disorders Identification Test
C (AUDIT–C) is scored on a scale of 0 to 12. Each
of the three AUDIT–C questions has 5 answer
choices with points ranging from 0 to 4. A screen
is considered positive for unhealthy alcohol use or
hazardous drinking if the AUDIT–C score is 4 or
more points for men or 3 or more points for women.
62 Pantell et al., 2013.
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Sexual orientation
Homosexual ..............
Heterosexual .............
Bisexual .....................
Other .........................
Asked but unknown ..
Unknown ...................
Code
SNOMED CT®
38628009.
SNOMED CT®
20430005.
SNOMED CT®
42035005.
HL7 V3
nullFlavor OTH.
HL7 V3
nullFlavor ASKU.
HL7 V3
nullFlavor UNK.
We propose that gender identity be
coded in accordance with, at a
minimum, the September 2014 Release
of the U.S. Edition of SNOMED CT® 64
and HL7 Version 3 attributed as follows:
Gender identity
Identifies as male
gender.
Identifies as female
gender.
Female-to-male
transsexual.
Male-to-female
transsexual.
Identifies as non-conforming gender.
Other .........................
Asked but unknown ..
Code
SNOMED CT®
446151000124109.*
SNOMED CT®
446141000124107.*
SNOMED CT®
407377005.
SNOMED CT®
407376001.
SNOMED CT®
446131000124102.*
HL7 V3
nullFlavor OTH.
HL7 V3
nullFlavor ASKU
* These new concepts will appear in the
March 2015 release of the U.S. Edition of
SNOMED CT® and are now viewable at
https://uscrs.nlm.nih.gov/main.xhtml.
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
We note that the functionality under
consideration to record the data
discussed above has no bearing on
whether a patient chooses to provide
this information or whether a health
care provider chooses to record the
information or would be required to do
so through the EHR Incentive Programs
or other programs. However, we believe
the structured recording of these types
of data as described is the best available
method for reliably capturing and
maintaining accurate reflections of this
information. For this proposed
certification criterion, we seek comment
on whether:
63 We refer readers to section III.A.2.d
(‘‘Minimum Standards’’ Code Sets) for further
discussion of our adoption of SNOMED CT® as a
minimum standards code set and our proposal to
adopt the September 2014 Release (U.S. Edition), or
potentially a newer version if released before a
subsequent final rule, as the baseline for
certification to the 2015 Edition.
64 We refer readers to section III.A.2.d
(‘‘Minimum Standards’’ Code Sets) for further
discussion of our adoption of SNOMED CT® as a
minimum standards code set and our proposal to
adopt the September 2014 Release (U.S. Edition), or
potentially a newer version if released before a
subsequent final rule, as the baseline for
certification to the 2015 Edition.
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• The appropriate measures have
been included for the listed social,
psychological, and behavioral data;
• There should be standardized
questions associated with the collection
of sexual orientation and gender
identity data (and if so, what vocabulary
standard would be best suited for coded
these standardized questions);
• We should set a minimum number
of data measures for certification (e.g., at
a minimum: One, 3, or all); and
• These measures should be part of
one certification criterion or separate
certification criteria. We note that our
proposal for an ‘‘Open Data Certified
Health IT Products List,’’ as discussed
in section IV.D.3 of this preamble,
would result in more granular
identification of certified health IT.
Specific to this criterion, the CHPL
would include information regarding
each of the data measures (e.g.,
education, depression, and sexual
orientation) that were certified as part of
a Health IT Module’s certification to this
criterion.
Work Information—Industry/
Occupation Data
The Institute of Medicine identified
patients’ work information as valuable
data that could be recorded by health IT
and used by both health care providers
and public health agencies.65 Similarly,
the 2012 HHS Environmental Justice
Strategy and Implementation Plan
echoed the potential benefits of having
work information in EHR technology.66
The combination of industry and
occupation (I/O) information provides
opportunities for health care providers
to improve patient health outcomes—for
health issues wholly or partially caused
by work and for health conditions
whose management is affected by work.
For example, ‘‘Usual’’ (longest-held) I/O
information can be key for health care
improvement and population-based
health investigations, and is already a
required data element for cancer
reporting.67 Health care providers also
65 IOM (Institute of Medicine). 2011.
‘‘Incorporating Occupational Information in
Electronic Health Records: A Letter Report’’.
Available at: https://www.nap.edu/
catalog.php?record_id=13207.
66 U.S. Department of Health and Human
Services. February, 2012. 2012 HHS Environmental
Justice Strategy and Implementation Plan. Available
at: https://www.hhs.gov/environmentaljustice/
strategy.html.
67 CDC (2) (Centers for Disease Control and
Prevention). 2012. Implementation Guide for
Ambulatory Healthcare Provider Reporting to
Central Cancer Registries, HL7 Clinical Document
Architecture (CDA) Release 1.0, August 2012.
Available at: https://www.cdc.gov/phin/library/
guides/Implementation_Guide_for_Ambulatory_
Healthcare_Provider_Reporting_to_Central_Cancer_
Registries_August_2012.pdf.
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can use current I/O information to
assess symptoms in the context of work
activities and environments, inform
patients of risks, obtain information to
assist in return-to-work determinations,
and evaluate the health and
informational needs of groups of
patients.
Since publication of the Voluntary
Edition proposed rule (79 FR 10924) in
which we requested comment on I/O
information for the purposes of
certification, we have considered health
IT developer feedback on the need to
adopt consensus standards for capturing
I/O information in health IT and
continue to work with the National
Institute for Occupational Health and
Safety (NIOSH) to explore avenues to
record I/O data in health IT. NIOSH also
continues to work with various industry
stakeholders and health IT developers to
assess the incorporation of patient I/O
fields into commercial EHRs, develop
occupationally related CDS, and to
investigate practices and systems to
achieve accurate, automated coding of I/
O information. Given the value of I/O
information as noted above and the
progress being made by NIOSH and
others, we are making a refined request
for comments as part of a future edition
of certification criteria. We invite
commenters to consider what additional
support might be needed for health IT
developers, implementers, and users to
effectively include a certification
criterion that would require health IT to
enable a user to record, change, and
access (all electronically) the following
data elements in structured format:
• Patients’ employment status and
primary activities (e.g., volunteer work);
• Patients’ current I/O, linked to one
another and with time-stamp, including
start date;
• Patients’ usual I/O, linked to one
another and with time-stamp, including
start year and duration in years; and
• Patients’ history of occupation with
a time and date stamp for when the
history was collected (to note, this is
focused on the capability to record a
history, not a requirement that a history
must be recorded or that a patient
history be recorded for a certain
historical period of time).
We solicit public comment on the
experience health IT developers and
health care providers have had in
recording, coding, and using I/O data.
This would include any innovation that
is making I/O data more useful for
providers.
To better understand the health care
needs associated with work data, we
specifically solicit public comment from
health care providers, provider
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organizations, and patients on the
following:
• The usefulness for providers to be
able to access current and usual I/O and
related data in the EHR, including
whether additional data elements, such
as work schedule, are useful.
• The usefulness of a history of
positions provided as current I/O, with
data from each position time-stamped,
linked, retained, and accessible as part
of the longitudinal patient care
(medical) record.
• Narrative text (vs. codes) for both
current and usual I/O.
• CDC_Census codes for both current
and usual I/O; available through PHIN
VADS at https://phinvads.cdc.gov/vads/
SearchVocab.action.
• SNOMED CT® codes for occupation
(current codes or potentially developed
codes).
• Other standards and codes that may
be in use by the health IT industry for
both current and usual I/O.
U.S. Uniformed/Military Service Data
In the Voluntary Edition proposed
rule (79 FR 10924), we outlined
rationale for a potential certification
criterion that would assess the
capability of health IT to enable a user
to record, change, and access U.S.
military service or all uniformed service
(including commissioned officers of the
U.S. Public Health Service (USPHS) and
the National Oceanographic and
Atmospheric Administration (NOAA) as
they too are eligible for military health
services, veterans benefits, and related
services). We reiterate the rationale here
as we continue to believe it is
persuasive for adopting such a
certification criterion. In recent years,
U.S. Military service members have
been returning from service in Iraq and
Afghanistan and other various combat
duty stations. A portion of these service
members are returning with traumatic
brain injuries, major limb injuries, and
diagnoses of post-traumatic stress
disorder as reported by the Department
of Defense and Department of Veterans
Affairs. We believe recording U.S.
uniformed/military service information
can have many benefits. It can help in
identifying epidemiological risks for
patients such as those noted above. It
can assist in ensuring that a patient
receives all the health care benefits he
or she is entitled to by alerting medical
professionals to the patient’s service
history, which can facilitate the
coordination of benefits. This
information can also increase the ability
to assemble a longitudinal record of care
for a U.S. service member, such as by
requesting or merging of a patient’s
electronic health record stored by the
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Department of Defense, Veteran’s Health
Administration, and/or another health
care provider.
In response to the request for
comment on a ‘‘U.S. uniformed/military
service’’ certification criterion in the
Voluntary Edition proposed rule,
commenters indicated that vocabulary
standards for capturing such history
may not be mature enough yet.
Specifically, commenters noted that
SNOMED CT ® currently has relevant
codes, such as ‘‘history relating to
military service,’’ and ‘‘duration of
military service,’’ but not codes to cover
all potential military service statuses,
capture military service in an
unambiguous way (e.g., capturing
current employed as well as history of
military service) and military service in
foreign locales. To improve coding of
military and all uniformed history, we
believe a promising path forward would
be to add codes to the U.S. Extension of
SNOMED–CT ®. Therefore, we request
comment on the following:
• Whether a potential certification
criterion should be focused solely on
U.S. military service or all uniformed
service members (e.g., commissioned
officers of the USPHS and NOAA);
• Whether the U.S. Extension of
SNOMED–CT ® is the most appropriate
vocabulary code set or whether other
vocabulary code sets may be
appropriate; and
• The concepts/values we should use
to capture U.S. military service or all
uniformed service status. We ask
commenters to consider the work of
NIOSH on I/O information as it relates
to capturing military service.
Other Social, Psychological, and
Behavioral Data
We seek comment on whether there
are additional social, psychological, and
behavioral data that we should include
for certification as well as the best
available standards for representing
such data.
• Decision Support—Knowledge
Artifact
2015 Edition Health IT Certification Criterion
§ 170.315(a)(22) (Decision support—knowledge artifact)
We propose a new ‘‘decision
support—knowledge artifact’’
certification criterion in the 2015
Edition for technology to electronically
send and receive clinical decision
support knowledge artifacts in
accordance with a Health eDecisions
(HeD) standard.
A previous ONC-sponsored S&I
initiative, HeD, defined two use cases
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(UC) with the goals of expressing CDS
interventions in a standardized format
for sharing (UC 1) and requesting/
receiving knowledge artifacts from a
CDS service provider (UC 2). We discuss
UC 2 further in the proposal for a 2015
Edition ‘‘decision support—service’’
certification criterion in this section of
the preamble. HeD UC 1 defined the
functional requirements needed to build
a standard schema for the contents of
three ‘‘CDS Knowledge Artifact’’ 68
types: event condition action (ECA)
rules, order sets, and documentation
templates.69 UC 1 was based on the
scenario of a ‘‘CDS Knowledge Artifact
supplier’’ making a computable CDS
Knowledge Artifact available to a ‘‘CDS
Artifact integrator.’’ For example, in
accordance with the HeD standard,
health IT could automatically integrate
medication order sets based on best
practice clinical guidelines in a
machine-readable format without the
need for human interpretation.
In the Voluntary Edition proposed
rule, we proposed to adopt the HL7
Implementation Guide: Clinical
Decision Support Knowledge Artifact
Implementation Guide, Release 1
(January 2013) (‘‘HeD standard’’).70 We
stated that the HeD standard would
greatly assist the industry in producing
and sharing machine-readable files for
representations of clinical guidance. We
did not adopt the HeD standard as we
agreed with commenters that more
clarity is needed regarding the HeD
proposals (79 FR 54453).
As the HeD initiative has completed,
a new S&I initiative has launched, the
Clinical Quality Framework (CQF),
which builds on the HeD work and
expands the scope to harmonize both
CDS and electronic clinical quality
measurement (eCQM) standards. The
CQF initiative has created an updated
and more modular HeD implementation
guide for sharing CDS artifacts, HL7
Version 3 Standard: Clinical Decision
Support Knowledge Artifact
Specification, Release 1.2 DSTU (July
2014).71 The modularity allows for
portions of the HeD standard Release 1.2
to be updated without requiring updates
68 A CDS Knowledge Artifact is the encoding of
structured CDS content as a rule to support clinical
decision making in many areas of the health care
system, including quality and utilization measures,
disease outbreaks, comparative effectiveness
analysis, efficacy of drug treatments, and
monitoring health trends.
69 HL7 Implementation Guide: Clinical Decision
Support Knowledge Artifact Implementation Guide,
Release 1 (January 2013) (‘‘HeD standard’’).
70 https://wiki.siframework.org/file/detail/
implementation_guide_working_final_042413_lse_
uploaded-1.docx.
71 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=337.
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to the entire standard. As the CQF work
continues, this more recent standard
will be leveraged heavily to produce a
harmonized clinical quality expression
language for both CDS and eCQMs.
We continue to believe that the HeD
standard would greatly assist the
industry in producing and sharing
machine readable files for
representations of clinical guidance. We
therefore propose to adopt the HL7
Version 3 Standard: Clinical Decision
Support Knowledge Artifact
Specification, Release 1.2 DSTU (July
2014) (‘‘HeD standard Release 1.2’’) at
§ 170.204(d)(1) and offer testing and
certification for health IT demonstrate it
can electronically send and receive a
CDS artifact formatted in the HeD
standard Release 1.2.
We solicited comment in the
Voluntary Edition proposed rule on
what we should test and certify to when
it comes to testing and certification for
acceptance and incorporation of CDS
Knowledge Artifacts (79 FR 54453).
Commenters suggested that we focus
testing on a few types of CDS
Knowledge Artifacts, but not on all
possible types included in the HeD
standard. We note that HHS is
developing publicly available CDS
interventions in HL7 draft standard
formats,72 including the HeD standard
Release 1.2, that will be available at
www.ushik.org. We welcome comment
on specific types of CDS Knowledge
Artifacts on which we should focus
testing and certification to the HeD
standard Release 1.2. We also invite
comments on versions of standards we
should consider as alternative options,
or for future versions of this certification
criterion, given the ongoing work to
harmonize CDS and quality
measurement standards as discussed
under the ‘‘CQM—record and export’’
certification criterion later in this
section of the preamble.
• Decision Support—Service
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
2015 Edition Health IT Certification Criterion
§ 170.315(a)(23) (Decision support—service)
We propose a new ‘‘decision
support—service’’ certification criterion
in the 2015 Edition for technology to
electronically make an information
request with patient data and receive in
return electronic clinical guidance in
72 This site may also include CDS interventions
formatted to the Quality Improvement and Clinical
Knowledge Model (QUICK) standard which we
discuss in the preamble for the ‘‘Clinical quality
measures—record and export’’ certification
criterion.
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accordance with the standard in
accordance with an HeD standard.
A previous ONC-sponsored S&I
initiative, HeD, defined two use cases
(UC) with the goals of expressing CDS
interventions in a standardized format
for sharing (HeD UC 1) and requesting/
receiving knowledge artifacts from a
CDS service provider (HeD UC 2). We
discuss HeD UC 1 further in the
proposal for a 2015 Edition ‘‘decision
support—knowledge artifact’’
certification criterion above. HeD UC 2
defines the interface requirements
needed to send patient data and receive
CDS guidance based on one scenario: a
request for clinical guidance made to a
CDS guidance supplier. The HeD S&I
initiative considered the following
interactions with a CDS guidance
supplier: Drug dosing calculation;
immunization forecasting; disease
management; quality measure
evaluation; transition of care support;
test appropriateness scores (e.g.,
radiology tests); prediction rule
evaluation (e.g., APACHE score, AHRQ
Pneumonia Severity Index); and severity
of illness assessment (e.g., Charlson
Index). The HeD initiative created the
HL7 Implementation Guide: Decision
Support Service, Release 1—US Realm
DSTU (January 2014) (‘‘Decision
Support Service IG’’),73 which defines
SOAP and REST web service interfaces
for CDS guidance services.
We proposed to adopt the Decision
Support Service IG in the Voluntary
Edition proposed rule because the
implementation of this IG would
promote systems whereby a health care
provider can send a query about a
patient to a CDS guidance supplier and
receive CDS guidance back in near realtime. Although we received general
support for adopting the Decision
Support Service IG, we did not adopt it
because the 2014 Edition Release 2 final
rule focused on the adoption and
revision of a small number of 2014
Edition certification criteria that add
flexibility and make improvements to
the existing set of 2014 Edition
certification criteria.
We are aware of a more recent release
of the Decision Support Service IG, HL7
Implementation Guide: Decision
Support Service, Release 1.1 (March
2014), US Realm DSTU Specification
(‘‘Release 1.1’’).74 Release 1.1 utilizes
the latest available version of the HL7
Virtual Medical Record specification.
Given the general support we received
73 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=334.
74 https://www.hl7.org/documentcenter/public/
standards/dstu/HL7_DSS_IG%20_R1_1_
2014MAR.zip.
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in the Voluntary Edition proposed rule,
we propose to adopt the HL7
Implementation Guide: Decision
Support Service, Release 1.1 (March
2014), US Realm DSTU Specification at
§ 170.204(e)(1) and offer testing and
certification for health IT to demonstrate
the ability to send and receive electronic
clinical guidance according to the
interface requirements defined in
Release 1.1. We also invite comments on
versions of standards we could consider
as alternative options, or for future
versions of this certification criterion,
given the ongoing work to harmonize
CDS and quality measurement standards
as discussed under the ‘‘CQM—record
and export’’ certification criterion later
in this section of the preamble.
• Transitions of Care
2015 Edition Health IT Certification Criterion
§ 170.315(b)(1) (Transitions of care)
We propose to adopt a 2015 Edition
certification criterion for ‘‘transitions of
care’’ (ToC) that is a continuation and
extension of the ToC certification
criterion adopted as part of the 2014
Edition Release 2 final rule at
§ 170.314(b)(8). This proposed criterion
also reflects the corresponding
structural and clarifying changes that
we adopted in the 2014 Edition Release
2 final rule that correspond to ‘‘clinical
information reconciliation and
incorporation’’ certification criterion
also adopted as part of the 2014 Edition
final rule.
Accordingly, the 2015 Edition ToC
certification criterion we propose to
adopt would include many of the same
capabilities adopted at § 170.314(b)(8)
with the exception of the following
revisions and additions.
Updated C–CDA Standard
As expressed in the 2014 Edition final
rule, the C–CDA standard is now the
single standard permitted for
certification and the representation of
summary care records. It is also
referenced in other proposed 2015
Edition certification criteria. Industry
stakeholders have continued to work to
improve and refine the C–CDA standard
since the 2014 Edition final rule,
including publishing additional
guidance for its consistent
implementation.75 An updated version,
HL7 Implementation Guide for CDA®
Release 2: Consolidated CDA Templates
for Clinical Notes (US Realm), Draft
75 https://wiki.siframework.org/Companion+
Guide+to+Consolidated+CDA+for+MU2.
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Standard for Trial Use, Release 2.0,76
which was balloted through 2014,
includes the following changes, which
we believe provide important
clarifications and enhancements:
• Addition of new structural
elements: new document sections and
data entry templates:
Æ New Document Templates for: Care
Plan; Referral Note; Transfer Summary.
Æ New Sections for: Goals; Health
Concerns; Health Status Evaluation/
Outcomes; Mental Status; Nutrition;
Physical Findings of Skin.
Æ New organizers and many new
entries (e.g. Wound Observation).
• Some sections/entries were
deprecated (i.e., should no longer be
used).
• Updates to (versioning of) template/
section/entry object identifiers (OIDs).
Æ This includes a new chapter
describing HL7’s approach to template
versioning.
• Tighter data constraints/
requirements.
Æ For example, some data elements
with a ‘‘MAY’’ requirement now have a
‘‘SHOULD’’ requirement. Likewise,
some with a ‘‘SHOULD’’ requirement
now have a ‘‘MUST’’ requirement.
• Updated Vocabulary/Value Set
constraints.
Æ For example: two SNOMED CT ®
codes were added to the Current
Smoking Status value set and the
Tobacco Use value set to support the
2014 Edition vocabulary requirements
for patient smoking status.
Æ NLM’s Value Set Authority Center
(VSAC) was named as reference for
Value Sets used in C–CDA.
In the Voluntary Edition proposed
rule, we proposed to adopt the C–CDA
Release 2.0 standard and reference its
use in the other certification criteria in
which this standard would have also
been applicable. At the time of that
proposal, the C–CDA Release 2.0 had
not yet completed its balloting cycle
within HL7 and stakeholder comments
on the Voluntary Edition proposed rule
expressed concern related to the C–CDA
Release 2.0 standard’s stability. Given
that the C–CDA Release 2.0 has
completed balloting and is now
published as the next C–CDA version,
we believe that the continued attention
it received through HL7 balloting has
resulted in a standard that is the best
available for adoption in this proposed
rule and for future implementation in
the coming years. Thus, we propose to
adopt C–CDA Release 2.0 at
76 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=379. Access to the IG
is freely available for review during the public
comment period by establishing an HL7 user
account.
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§ 170.205(a)(4) as part of this
certification criterion. We note that
compliance with the C–CDA Release 2
cannot include the use of the
‘‘unstructured document’’ documentlevel template for certification to this
criterion.
To address a technical
implementation challenge sometimes
referred to as ‘‘bilateral asynchronous
cutover,’’ (which is meant to convey the
complexity of continued
interoperability among exchange
partners as each upgrades their health
IT at different times and with different
standards capabilities), we propose that
the 2015 Edition ToC certification
criterion reference both the C–CDA
Release 1.1 and Release 2.0 standards.
In other words, a Health IT Module
presented for certification to this
criterion would need to demonstrate its
conformance and capability to create
and parse both versions (Release 1.1 and
2.0) of the C–CDA standards. Under this
proposal, the sending Health IT Module
would send two documents (one
conforming to C–CDA R1.1 and other
conforming to C–CDA R2.0) and the
receiving Health IT Module would
receive both versions of the documents
and choose the appropriate version for
downstream processing.
While we recognize that this proposal
is not ideal, we have proposed this more
conservative approach as a way to
mitigate the potential that there would
be interoperability challenges for ToC as
different health care providers adopt
Health IT Modules certified to the 2015
Edition criterion at different times that
include C–CDA Release 2.0 capabilities.
However, we request public comment,
especially from health IT developers
with experience implementing the C–
CDA, on an alternative approach related
to the creation of C–CDA-formatted
documents. The alternative approach
would be focused on C–CDA creation
and receipt capabilities related to
whether the health IT system could
produce one, ‘‘dually compliant,’’ C–
CDA that addresses both C–CDA
versions at once. We understand that
this approach is possible, may be
preferred from an implementation
perspective, and could help prevent
potential data duplication errors that
could result if a Health IT Module is
required to be able to produce two
separate C–CDA files (one in each
version) as part of certification.
Our proposal to adopt C–CDA Release
2.0 is applicable to all of the other
certification criteria in which the C–
CDA is referenced. Similarly, unless C–
CDA Release 2.0 is explicitly indicated
as the sole standard in a certification
criterion, we propose to reference both
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C–CDA versions in each of these criteria
for the reasons just discussed.
Valid/Invalid C–CDA System
Performance
As we considered stakeholder
feedback and reviewed the additional
public dialogue surrounding the
variability of CEHRT in recognizing
valid/invalid documents formatted
according to the C–CDA 1.1 standard,
including structured content by
different health IT developers,77 we
recognized that an expanded ToC
certification criterion with a specific
capability focused principally on health
IT system behavior and performance
related to recognizing valid/invalid C–
CDAs would be beneficial. Thus, we
propose to include within the 2015
Edition ToC certification criterion a
specific focus on this technical system
behavior. We believe this type of error
checking and resilience is an important
and necessary technical prerequisite in
order to ensure that as data in the
system is parsed from a C–CDA for
incorporation as part of the ‘‘clinical
information reconciliation and
incorporation’’ certification criterion the
user can be assured that the system has
appropriately interpreted the C–CDA it
received. Further, we believe this level
of rigorous testing will better enable
Health IT Modules to properly recognize
C–CDA-based documents and prepare
the necessary information for
reconciliation and other workflow
needs.
We propose that this specific aspect of
the certification criterion would focus
on and require the following technical
outcomes be met. The Health IT Module
would need to demonstrate the ability to
detect valid and invalid C–CDA
documents, including document,
section, and entry level templates for
data elements specified in 2014 and
2015 edition. Specifically, this would
include:
• The ability of the Health IT Module
to detect invalid C–CDA documents.
Thus, any data in the submitted C–CDA
document that does not conform to
either the C–CDA 1.1 or 2.0 standard (in
addition to data coding requirements
specified by this regulation) would be
considered invalid;
• The ability to identify valid C–CDA
document templates (e.g., CCD,
Discharge Summary, Progress Note) and
process the required data elements,
section and entries, specific to the
document templates and this regulation.
• The ability to detect invalid
vocabularies and codes not specified in
77 D’Amore JD, et al. J Am Med Inform Assoc
2014;21:1060–1068.
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either the C–CDA 1.1 or 2.0 standard or
required by this regulation (e.g., using a
SNOMED CT ® code where a LOINC ®
code is required or using a code which
does not exist in the specified value set).
• The ability to correctly interpret
empty sections and nullFlavor
combinations per the C–CDA 1.1 or 2.0
standard. For example, we anticipate
testing could assess a Health IT
Module’s ability to continue to process
a C–CDA when a nullFlavor is used at
the section template level.
We expect these capabilities would be
tested by providing several C–CDA
documents with valid and invalid data.
We do not expect Health IT Modules
presented for certification to have a
common C–CDA handling process,
however, we do expect that they would
have a baseline capability to identify
valid and invalid C–CDA documents
and prepare the necessary data for
clinical information reconciliation and
incorporation. Further, we expect that
Health IT Modules will have some
mechanism to track errors encountered
when assessing received C–CDA’s and
we have proposed that health IT be able
to track the errors encountered and
allow for a user to be notified of errors
or review the errors produced. The
Health IT Module would not need to
support both and how this technical
outcome is accomplished is entirely up
to the health IT developer.
We direct readers to the proposed
‘‘Consolidated CDA creation
performance’’ certification criterion
(§ 170.315(g)(6)) under which we seek
comment on a potential requirement for
this certification criterion or the
‘‘Consolidated CDA creation
performance’’ certification criterion that
would evaluate the completeness of the
data included in a C–CDA in order to
ensure that the data recorded by health
IT is equivalent to the data included in
a created C–CDA.
XDM Package Processing
As indicated in the earlier paragraphs,
a Health IT Module presented for
certification to this certification
criterion will need to support one of the
edge protocols referenced in the Edge IG
version 1.1 (i.e., the ‘‘IHE XDR profile
for Limited Metadata Document
Sources’’ edge protocol or an SMTPfocused edge protocol (SMTP alone or
SMTP in combination with either
IMAP4 or POP3)). However industry
feedback has indicated that the use of
XDM packages has grown within the
stakeholder community using Direct,
which most often happens when Edge
System A using XDR sends content and
metadata to its HISP–A, who in turn
packages that content and metadata into
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an XDM ZIP and sends it within a Direct
message to HISP–B, which then
ultimately sends the message containing
the XDM package to Edge System B
using an SMTP-based edge.
Therefore, if Edge System B does not
support XDM package processing,
interoperability could be impacted
when HISP–B forwards XDM packages
to Edge System B via the SMTP
protocol. To mitigate this potential
incompatibility, we propose to include
a specific capability in this certification
criterion that would require a Health IT
Module presented for certification that
is also being certified to the SMTPbased edge to demonstrate its ability to
accept and process an XDM package it
receives, which would include
extracting relevant metadata and
document(s). That is, this additional
requirement only applies to a Health IT
Module presented for certification with
an SMTP-based edge implementation
and not an XDR edge implementation).
Additionally, because we expect XDM
packaging to be created in accordance
with the specifications included in IHE
IT Infrastructure Technical Framework
Volume 2b (ITI TF–2b),78 we propose to
adopt this as the standard (at
§ 170.205(p)(1)) for assessing whether
the XDM package was successfully
processed.
Common Clinical Data Set
We propose to include an updated
Common Clinical Data Set for the 2015
Edition that includes references to new
and updated vocabulary standards code
sets. Please also see the Common
Clinical Data Set definition proposal in
section III.B.3 of this preamble.
Encounter Diagnoses
For encounter diagnoses, we are
carrying over the requirement from the
2014 Edition ‘‘ToC’’ certification
criterion that a Health IT Module must
enable a user to create a transition of
care/referral summary that also includes
encounter diagnoses using either
SNOMED CT ® (September 2014 Release
of the U.S. Edition as a baseline for the
2015 Edition) or ICD–10 codes.
‘‘Create’’ and Patient Matching Data
Quality
In 2011, both the HITPC and HITSC
made recommendations to ONC on
patient matching. The HITPC made
recommendations in the following five
categories: Standardized formats for
demographic data fields; internally
evaluating matching accuracy;
78 https://www.ihe.net/Technical_Framework/
upload/IHE_ITI_TF_Rev7-0_Vol2b_FT_2010-0810.pdf.
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accountability; developing, promoting
and disseminating best practices; and
supporting the role of the individual/
patient.79 The HITSC made the
following four recommendations:
Detailing patient attributes that could be
used for matching (in order to
understand the standards that are
needed); data quality; formats for these
data elements; and what data are
returned from a match request.80 The
standards recommended by the HITSC
are as follows:
• Basic Attributes: Given Name; Last
Name; Date of Birth; Administrative
Gender.81
• Other Attributes: Insurance Policy
Number; Medical Record Number;
Social Security Number (or last 4 digits);
Street Address; Telephone Number; Zip
Code.
• Potential Attributes: Email Address;
Voluntary Identifiers; Facial Images;
Other Biometrics.
In July 2013, ONC launched an
initiative to reinvigorate public
discussion around patient matching, to
perform a more detailed analysis of
patient matching practices, and to
identify the standards, services, and
policies that would be needed to
implement the HITPC and HITSC’s
recommendations. The initiative’s first
phase focused on a common set of
patient attributes that could be
leveraged from current data and
standards referenced in our certification
criteria. Given the initial findings, we
proposed to include a limited set of
standardized data as a part of the
‘‘Create’’ portion of the ToC criterion in
the Voluntary Edition proposed rule to
improve the quality of the data included
in outbound summary care records.
Overall, the vast majority of commenters
supported the proposed policy that
standardized patient attributes should
be required for use in as part of the
transitions of care certification criterion.
Commenters overwhelmingly supported
the inclusion of the proposed
constrained specifications for last name/
family name, maiden name, suffix, first/
given name, middle/second name,
maiden name, date of birth, current
address and historical address, phone
number, and sex in support of patient
matching. However, given our approach
in the 2014 Edition Release 2 final rule
79 https://www.healthit.gov/sites/default/files/
hitpc-transmittal-letter-priv-sectigerteam020211.pdf.
80 https://www.healthit.gov/FACAS/sites/default/
files/standards-certification/8_17_2011Transmittal_
HITSC_Patient_Matching.pdf.
81 Despite its inclusion of the word ‘‘gender,’’
‘‘Administrative Gender’’ is generally used in
standards to represent a patient’s ‘‘sex,’’ such as
male or female. See: https://ushik.ahrq.gov/
ViewItemDetails?system=hitsp&itemKey=83680000.
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to only adopt a small subset of the
proposed certification criteria to provide
flexibility, clarity, and enhance health
information exchange, we decided not
adopted this proposal.
We again propose to include a limited
set of standardized data as a part of the
‘‘Create’’ portion of the ToC criterion in
the 2015 Edition to improve the quality
of the data included in outbound
summary care records. To be clear, this
proposal does not require a Health IT
Module to capture the data upon data
entry, but rather at the point when the
data is exchanged (an approach
commonly used for matching in HL7
transactions, IHE specifications,82 C–
CDA specification, and the eHealth
Exchange). The proposed standardized
data include: first name, last name,
middle name (including middle initial),
suffix, date of birth, place of birth,
maiden name, phone number, and sex.
In the bulleted list below, we identify
more constrained specifications for
some of the standardized data we
propose. Based on our own research, we
do not believe that the proposed
constraints to these data conflict with
the C–CDA. That being said, some
proposed constraints may further
restrict the variability as permitted by
existing specifications and others may
create new restrictions that do not
currently exist within the C–CDA. We
propose that:
• For ‘‘last name/family name’’ the
CAQH Phase II Core 258: Eligibility and
Benefits 270/271 Normalizing Patient
Last Name Rule version 2.1.0 83 (which
addresses whether suffix is included in
the last name field) be followed.
• For ‘‘suffix,’’ that the suffix should
follow the CAQH Phase II Core 258:
Eligibility and Benefits 270/271
Normalizing Patient Last Name Rule
version 2.1.0 (JR, SR, I, II, III, IV, V, RN,
MD, Ph.D., ESQ) 84 and that if no suffix
exists, the field should be marked as
null.
• For ‘‘date of birth,’’ that the year,
month and date of birth should be
required fields while hour, minute and
second should be optional fields. If
hour, minute and second are provided
then either time zone offset should be
included unless place of birth (city,
region, country) is provided; in the
latter local time is assumed. If date of
birth is unknown, the field should be
marked as null.
• For ‘‘phone numbers,’’ the ITU
format specified in ITU–T E.123 85 and
82 https://www.ihe.net/Technical_Frameworks/.
83 https://www.caqh.org/pdf/CLEAN5010/258v5010.pdf.
84 https://www.caqh.org/pdf/CLEAN5010/258v5010.pdf.
85 https://www.itu.int/rec/T-REC-E.123-200102-I/e.
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ITU–T E.164 86 be followed and that the
capture of home, business, and cell
phone numbers be allowed.87 Further,
that if multiple phone numbers are
present in the patient’s record, all
should be included in the C–CDA and
transmitted.
• For ‘‘sex’’ we propose to require
developers to follow the HL7 Version 3
Value Set for Administrative Gender
and a nullFlavor value attributed as
follows: M (Male), F (Female), and UNK
(Unknown).
While the Patient Matching
Initiative’s recommendations included
standardizing current and historical
address, we have not included a specific
standardized constraint for that data at
this time due to a lack of consensus
around the proper standard. In response
to the Voluntary Edition proposed rule,
commenters also suggested that we
delay support for international
standards for address until future
editions of certification criteria. To
reiterate, the data we propose for patient
matching would establish a foundation
based on leveraging current data and
standards in certification criteria. We
welcome comments on this approach
and encourage health IT developers to
consider and support the use other
patient data that would improve patient
matching for clinical care and many
types of clinical research.
Direct Best Practices
In the past couple of years we have
heard feedback from stakeholders
regarding health IT developers limiting
the transmission or receipt of different
file types via Direct. We wish to remind
all stakeholders of the following best
practices for the sharing of information
and enabling the broadest participation
in information exchange with Direct:
https://wiki.directproject.org/
Best+Practices+for+Content+and+
Workflow.
Certification Criterion for C–CDA and
Common Clinical Data Set Certification
We note that no proposed 2015
Edition health IT certification criteria
includes just the C–CDA Release 2.0
and/or the Common Clinical Data Set,
particularly with the 2015 Edition not
including a proposed ‘‘clinical
summary’’ certification criterion as
discussed later on in this preamble.
Health IT certified to simply the C–CDA
Release 2.0 with or without certification
to the Common Clinical Data Set may be
beneficial for other purposes, including
86 https://www.itu.int/rec/T-REC-E.164-201011-I/
en.
87 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=186.
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participation in HHS payment
programs. We request comment on
whether we should adopt a separate
2015 Edition health IT certification
criterion for the voluntary testing and
certification of health IT to the
capability to create a summary record
formatted to the C–CDA Release 2.0
with or without the ability to meet the
requirements of the Common Clinical
Data Set definition.
C–CDA Data Provenance Request for
Comment
As the exchange of health data
increases, so does the demand to track
the provenance of this data over time
and with each exchange instance.
Confidence in the authenticity,
trustworthiness, and reliability of the
data being shared is fundamental to
robust privacy, safety, and security
enhanced health information exchange.
The term ‘‘provenance’’ in the context of
health IT refers to evidence and
attributes describing the origin of
electronic health information as it is
captured in a health system and
subsequently persisted in a way that
supports its lifespan. As described in
the President’s Council of Advisors on
Science and Technology (PCAST)
Report ‘‘Realizing the Full Potential of
Health Information Technology to
Improve Healthcare for Americans’’ 88,
provenance includes information about
the data’s source and the processing that
the data has undergone. The report
refers to ‘‘tagged data elements’’ as units
of data accompanied by a ‘‘metadata
tag’’ that describes the attributes,
provenance, and required security
protections of the data.
In April 2014, ONC launched the Data
Provenance Initiative within the
Standards and Interoperability (S&I)
Framework to identify the standards
necessary to capture and exchange
provenance data, including provenance
at time of creation, modification, and
time of exchange.89 The stakeholder
community represented a wide variety
of organizations including health IT
developers; federal, state, and local
agencies; healthcare professionals;
research organizations; payers; labs; and
individuals within academia. In the fall
of 2014, the HL7 IG for CDA Release 2:
Data Provenance, Release 1 (US Realm)
(DSTU) 90 was published. This IG
88 PCAST Report to the President: Realizing the
Full Potential of Health Information Technology to
Improve Healthcare for Americans: The Path
Forward, https://www.whitehouse.gov/sites/default/
files/microsites/ostp/pcast-health-it-report.pdf.
89 https://wiki.siframework.org/
Data+Provenance+Initiative.
90 https://wiki.hl7.org/index.php?title=HL7_Data_
Provenance_Project_Space and https://
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clarifies existing content from various
standards within HL7 91 and describes
how provenance information for a CDA
document in a health IT system should
be applied, and what vocabulary should
be used for the metadata. This includes
provenance metadata in the CDA at the
header, section and entry levels. We
seek comment on the maturity and
appropriateness of this IG for the tagging
of health information with provenance
metadata in connection with the C–
CDA. Additionally, we seek comment
on the usefulness of this IG in
connection with certification criteria,
such as ToC and VDT certification
criteria.
• Clinical Information Reconciliation
and Incorporation
2015 Edition Health IT Certification Criterion
§ 170.315(b)(2) (Clinical information reconciliation and incorporation)
We propose to adopt a 2015 Edition
‘‘clinical information reconciliation and
incorporation’’ certification criterion
that is a revised (but largely similar to
the 2014 Edition Release 2) version of
the ‘‘clinical information reconciliation
and incorporation’’ criterion adopted at
§ 170.314(b)(9).
Incorporation System Performance
As we considered public comments
made after the 2014 Edition final rule
and reviewed the additional public
dialogue surrounding the variability of
certified health IT in incorporating C–
CDAs including structured content by
different health IT developers 92, we
recognized the need to expand the
existing ‘‘clinical information
reconciliation and incorporation’’
certification criterion to focus on health
IT system behavior and performance
related to incorporating C–CDAs
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gforge.hl7.org/gf/project/cbcc/frs/
?action=FrsReleaseBrowse&frs_package_id=240.
91 Standards including HL7 Clinical
Documentation Architecture Release 2 (CDA R2),
HL7 Implementation Guide: Data Segmentation for
Privacy (DS4P), Release 1, and HL7 Version 2
Vocabulary & Terminology Standards (all are
normative standards).
92 D’Amore JD, et al. J Am Med Inform Assoc
2014; 21:1060–1068.
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including structured content. We
believe that testing a Health IT Module’s
capability to reconcile and incorporate,
at a minimum: problems, medications,
and medication allergies from multiple
C–CDAs will improve the overall
clinical effectiveness.
We expect that testing for this specific
system performance would include the
ability to incorporate valid C–CDAs
with variations of data elements to be
reconciled (e.g., documents with no
medications, documents having
variations of medication timing data). In
addition we believe we can further
strengthen this certification criterion by
proposing to require that a C–CDA be
created based on the reconciliation and
incorporation process in order to
validate the incorporation results. We
anticipate that the generated C–CDA
would be verified using test tools for
conformance and can be checked
against the information that was
provided to incorporate.
Accordingly, we propose that the
following technical system behavior and
performance also be addressed as part of
the clinical information reconciliation
and incorporation certification criterion:
The Health IT Module must
demonstrate the ability to reconcile
problem, medication, and medication
allergy data from valid C–CDAs (both
Release 1.1. and 2.0) with variations of
data elements to be reconciled and then
generate a conformant C–CDA
document based on the reconciled
information. For example, a test could
include assessing a Health IT Module’s
capability to reconcile and incorporate
medication information with different
timing information.
• Electronic Prescribing (ePrescribing)
2015 Edition Health IT Certification Criterion
§ 170.315(b)(3) (Electronic prescribing)
We propose to adopt a 2015 Edition
certification criterion for e-prescribing
that is revised in comparison to the
2014 Edition ‘‘e-prescribing’’ criterion
(§ 170.314(b)(3)). First, for the purposes
of certification, we propose to require a
Health IT Module to be able to receive
and respond to additional NCPDP
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SCRIPT Standard Implementation Guide
Version 10.6 (v10.6) transactions or
segments, namely Change Prescription,
Refill Prescription, Cancel Prescription,
Fill Status, and Medication History.
Second, for the purposes of certification,
we propose to require that a Health IT
Module demonstrate that directions for
medication use transmitted as eprescriptions are codified in a
structured format. Third, for the
purposes of certification, we propose to
require a Health IT Module be able to
limit a user to e-prescribing all
medications in the metric unit standard
only, follow NCPDP-recommended
conventions for use of leading zeroes
before a decimal, and avoid use of
trailing zeroes after a decimal when eprescribed.
e-Prescribing Transactions or Segments
For 2014 Edition testing and
certification to this criterion, a Health IT
Module presented for certification must
demonstrate that it can create a new
prescription according to the NCPDP
SCRIPT v10.6 New Prescription
transaction (NEWRX). Stakeholders
have recommended we consider
expanding testing to a greater number of
NCPDP SCRIPT v10.6 transactions and
segments in order to better facilitate
prescriber and pharmacist
communications to provide better care
for patients. Stakeholders have
indicated that there is variable uptake
and inconsistent implementation of the
transactions in the NCPDP SCRIPT
Standard v10.6 despite their added
value for patient safety and improved
communication between prescribers and
pharmacists. In consideration of
stakeholder input, we propose to
include additional NCPDP SCRIPT
v10.6 transactions in addition to the
New Prescription transaction for health
IT testing and certification. We propose
that testing and certification would
require a Health IT Module to
demonstrate the ability to send and
receive end-to-end prescriber-toreceiver/sender-to-prescriber
transactions (bidirectional transactions).
The transactions and reasons for
inclusion for testing and certification
are outlined in Table 3 below.
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TABLE 3—PROPOSED ADDITIONAL 93 NCPDP SCRIPT V10.6 TRANSACTIONS FOR TESTING AND CERTIFICATION TO EPRESCRIBING CERTIFICATION CRITERION
NCPDP SCRIPT v10.6 transaction or segment
Use case(s)
Change Prescription
CHGRES).
(RXCHG,
Cancel Prescription
CANRES).
(CANRX,
Refill Prescription
REFRES).
(REFREQ,
Fill Status (RXFILL) .....................
Medication History
RXHRES).
(RXHREQ,
Problem addressed/value in testing for certification
• Allows a pharmacist to request a change of a new
prescription or a ‘‘fillable’’ prescription.
• Allows a prescriber to respond to pharmacy requests to change a prescription.
• Notifies the pharmacist that a previously sent prescription should be canceled and not filled.
Facilitates more efficient, standardized electronic
communication between prescribers and pharmacists for changing prescriptions.
• Allows the pharmacist to request approval for additional refills of a prescription beyond those originally prescribed.
• Allows the prescriber to grant the pharmacist permission to provide a patient additional refills or decline to do so.
Allows the pharmacist to notify the prescriber about
the status of a prescription in three cases: 1) to notify of a dispensed prescription, 2) to notify of a
partially dispensed prescription, 3) to notify of a
prescription not dispensed.
• Allows a requesting entity to generate a patientspecific medication history request.
• The responding entity can respond with a patient’s
medication history, including source, fill number,
follow-up contact, date range, as information is
available.
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We solicit comment on including the
proposed transactions and segments for
testing and certification to this
certification criterion as outlined in
Table 3, and on the problems addressed/
value in testing for certification. We also
solicit comment on the following issues:
• Other NCPDP SCRIPT v10.6
transactions that should be considered
for testing and certification, and for
what use cases/value;
• What factors we should consider for
end-to-end prescriber-to-receiver
testing.
We also propose to adopt and include
the February 2, 2015 monthly version of
RxNorm in this criterion as the baseline
version minimum standards code set for
coding medications (see section III.A.2.d
(‘‘Minimum Standards’’ Code Sets) of
this preamble).
Structured and Codified ‘‘Sig’’
Medications can be e-prescribed using
a free text format, and typically the
instructions include the medication
name, dose, route of administration,
frequency of administration, and other
special instructions. This set of
prescribing instructions is referred to as
the ‘‘Sig.’’ In a free text format, nonstandard or conflicting language may be
used that is not understood by the
pharmacist filling the prescription.
93 We are proposing to keep the ‘‘New
Prescription’’ transaction for testing and
certification.
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Facilitates more efficient, standardized electronic
communication between prescribers and pharmacists for cancelling prescriptions.
• Sends the prescriber the results of a prescription
cancellation request.
Facilitates more efficient, standardized electronic
communication between prescribers and pharmacists for refilling prescriptions.
Allows the prescriber to know whether a patient has
picked up a prescription, and if so, whether in full
or in part. This information can inform assessments
of medication adherence.
Allows a requesting entity to receive the medication
history of a patient. A prescriber may use this information to perform medication utilization review,
medication reconciliation, or other medication management to promote patient safety.
Where systems do facilitate creation of
the Sig, some systems may autoconcatenate the field length and thus
the tail end of the Sig is lost. This has
implications for communication
between prescribers and pharmacists as
well as for patient safety. Prescribers
and pharmacists may have to engage in
back-and-forth communication to clarify
what is intended in the Sig instructions.
Therefore, there is an opportunity to
streamline prescriber-pharmacist
communication, allow more time for
direct activities of patient care, and
reduce confusion during the pharmacy
verification and dispensing processes.
We are aware that the NCPDP SCRIPT
v10.6 standard includes structured Sig
segments that are used to codify the
prescribing directions in a structured
format.94 Providing Sig instructions in a
structured format promotes accurate,
consistent, and clear communication of
the prescribing information as intended
by the prescriber.
In one study of the structured and
codified Sig within NCPDP SCRIPT
v10.5, the Sig format fully represented
95% of ambulatory prescriptions
tested.95 While we believe that the
94 NCPDP’s Structured and Codified Sig Format
Implementation Guide v1.2 is adopted within
SCRIPT v10.6.
95 Liu H, Burkhart Q and Bell DS. Evaluation of
the NCPDP Structured and Codified Sig Format for
e-prescriptions. J Am Med Inform Assoc. 2011 Sep–
Oct;18(5):645–51.
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results of this study give an indication
of the scope of the structured and
codified Sig within NCPDP SCRIPT
v10.5, we note that the Sig standard was
tested in the lab environment and not
with live end-users. Stakeholders have
also indicated the limitations of the
structured and codified Sig within
NCPDP SCRIPT v10.6 to represent all
Sig instructions, particularly complex
Sigs requiring multi-step directions. For
example, stakeholders have noted that
the Sig segment within the NCPDP
SCRIPT v10.6 standard limits the field
length to 140 characters whereas later
versions of the NCPDP SCRIPT standard
(from v201311 onward) have expanded
the character length to 1000. Despite
these potential limitations, we see
standardizing and codifying the
majority of routine prescriptions as a
means to promote patient safety as well
as reduce disruptions to prescriber
workflow through a reduction in
pharmacy call-backs.
We note the flexibility to create
complex unstructured Sigs remains
through use of existing e-prescribing
workflow and appropriate use of the
free text field. There is, however, low
uptake of structured Sig according to the
NCPDP SCRIPT v10.6 standard, which
includes a combination of mandatory
and conditional structured Sig
segments.
We believe that medication Sig
instructions should be codified in a
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structured format for the benefits
outlined above. Therefore, we propose
to require that a Health IT Module
enable a user to enter, receive, and
transmit codified Sig instructions in a
structured format in accordance with
NCPDP Structured and Codified Sig
Format Implementation Guide v1.2
which is embedded within NCPDP
SCRIPT v10.6 for certification to the eprescribing criterion in the 2015
Edition.96 We propose that this
requirement apply to the New
Prescription, Change Prescription, Refill
Prescription, Cancel Prescription, Fill
Status, and Medication History
prescription transactions or segments as
we understand that the NCPDP
Structured and Codified Sig Format can
be used for all NCPDP SCRIPT v10.6
prescription transactions that include
the medication field. We also propose to
require that a Health IT Module include
all structured Sig segment components
enumerated in NCPDP SCRIPT v10.6
(i.e., Repeating Sig, Code System, Sig
Free Text String, Dose, Dose
Calculation, Vehicle, Route of
Administration, Site of Administration,
Sig Timing, Duration, Maximum Dose
Restriction, Indication and Stop
composites).
We are aware that NCPDP has
recently published recommendations for
implementation of the structured and
Codified Sig format for a subset of
component composites that represent
the most common Sig segments in the
NCPDP SCRIPT Implementation
Recommendations Version 1.29.97 We
therefore welcome comment on this
proposal, including whether we should
require testing and certification to a
subset of the structured and codified Sig
format component composites that
represent the most common Sig
instructions rather than the full NCPDP
Structured and Codified Sig Format
Implementation Guide v1.2. As
previously noted, prescribers would still
be able to be able to create unstructured
Sigs through the use of the free text
field, and our proposal only discusses
the capability of technology to enable a
user to enter, receive, and transmit
codified Sig instructions using the
NCPDP Structured and Codified Sig
Format.
Medication Dosing
In the Voluntary Edition proposed
rule, we solicited comment on whether
we should propose health IT
96 NCPDP’s Structured and Codified Sig Format
Implementation Guide v1.2 is within the NCPDP
SCRIPT v10.6 standard.
97 https://www.ncpdp.org/NCPDP/media/pdf/
SCRIPTImplementationRecommendationsV129.pdf.
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certification for oral liquid medication
dosing to the metric standard (e.g., mL
or milliliters) for patient safety reasons
(79 FR 10926–10927). Use of the metric
standard offers more precision in
medication dose than the Imperial
standard (e.g., teaspoons), which can
decrease preventable adverse drug
events. A number of health care and
standards developing organizations,
including the AAP 98 and NCPDP,99
support the use of the metric standard
for dosing volumetric medications.
Additionally, the FDA’s Safe Use
Initiative is working with CDC, NCPDP,
and other stakeholders to encourage
adoption of the NCPDP’s
recommendations for standardizing
dosing designations on prescription
container labels of oral liquid
medications.100 Recent research has
demonstrated that parents who used
milliliter-only dosing instruments were
less likely to make dosing errors than
parents who used teaspoons or
tablespoon units.101
We received a number of comments to
the comment solicitation. Many
commenters noted that the structured
Sig segment of the NCPDP SCRIPT
Standard v10.6 supports use of the
metric standard for liquid medication
dosing. One ONC–ACB commented that
in their experience, vendors have
struggled to properly codify medication
dosing information within the C–CDA
in terms of consistency across all health
IT systems. Many provider
organizations and patient advocacy
organizations were in support of
requiring use of the metric standard for
oral liquid medication dosing.
Additionally, many commenters were in
favor of providing the metric standard
as one option to record liquid
medication doses. We also received
comments recommending the proper
use of leading and trailing zeroes in
dosing designations. NCPDP has
recommended that dose amounts should
always use leading zeroes before the
decimal point for amounts less than
one, and should not use trailing zeroes
98 AAP Council on Clinical Information
Technology Executive Committee, 2011–2012.
Policy Statement—Electronic Prescribing in
Pediatrics: Toward Safer and More Effective
Medication Management. Pediatrics 2013; 131;824.
99 https://www.ncpdp.org/NCPDP/media/pdf/wp/
DosingDesignations-OralLiquid-Medication
Labels.pdf.
100 https://www.fda.gov/Drugs/DrugSafety/
SafeUseInitiative/ucm188762.htm#overdoses.
101 Unit of Measurement Used and Parent
Medication Dosing Errors. Pediatrics 134:2 August
1, 2014. Pp. e354–e361.
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after a decimal point for oral liquid
medications.102
Our intent is for health IT to be able
to more precisely dose prescriptions in
order to reduce dosing errors and
improve patient safety. We also believe
that use of the metric standard could
improve patient safety and potentially
reduce dosing errors for all medications
in addition to oral liquid medications.
We therefore propose, for certification to
this criterion, that a Health IT Module
be capable of limiting a user’s ability to
electronically prescribe all medications
in only the metric standard. Prescription
labels contain the dosing instructions
specified by the prescriber. Thus, if the
prescriber doses using the metric
standard, the label will contain dosing
instructions in the metric standard and
potentially reduce dosing errors during
administration. We also propose to
require that a Health IT Module be
capable of always inserting leading
zeroes before the decimal point for
amounts less than one when a user
electronically prescribes medications as
well as not allow trailing zeroes after a
decimal point. We welcome comment
on these proposals, including the
feasibility of implementing the metric
standard for e-prescribing all
medications.
• Incorporate Laboratory Tests and
Values/Results
2015 Edition Health IT Certification Criterion
§ 170.315(b)(4) (Incorporate laboratory tests
and values/results)
We propose to adopt a 2015 Edition
‘‘incorporate laboratory tests and
values/results’’ certification criterion
that is revised in comparison to the
2014 Edition ‘‘incorporate laboratory
tests and values/results’’ criterion
(§ 170.314(b)(5)). We propose to adopt
and include the HL7 Version 2.5.1
Implementation Guide: S&I Framework
Lab Results Interface, Draft Standard for
Trial Use, Release 2, US Realm (‘‘LRI
Release 2’’) in the proposed 2015
Edition ‘‘transmission of laboratory test
reports’’ criterion for the ambulatory
setting. LRI Release 2 is currently under
ballot reconciliation with HL7 and
should be published in the next few
months.103 LRI Release 2 would:
• Implement common formats across
US Realm IGs for consistent reader
102 https://www.ncpdp.org/NCPDP/media/pdf/wp/
DosingDesignations-OralLiquidMedicationLabels.pdf.
103 https://www.hl7.org/participate/
onlineballoting.cfm?ref=nav#nonmember. Access to
the current draft of the LRI Release 2 IG is freely
available for review during the public comment
period by establishing an HL7 user account.
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experience (e.g., sequence of sections,
formatting, layout, and terminology);
• Incorporates all previous errata, LRI
Release 1 DSTU comments and change
requests;
• Adopt HL7 version 2.8 fields
developed to fill gaps identified in the
development of Release 1;
• Include harmonized data type
‘‘flavors’’ for use across the US Realm
Lab IGs;
• Introduce initial requirements for
error reporting conditions and severity
(hard/soft errors) and system/
application acknowledgements;
• Harmonize data element usage and
cardinality requirements with LOI
Release 1, and the electronic Directory
of Services (eDOS) IG;
• Incorporate US Lab Realm value
sets developed for clarity and
consistency across all laboratory IGs;
and
• Use a new publication method for
value sets that allows for precision
usage at point of use and provides ‘‘at
a glance’’ comprehensive usage at the
field and component-level across all
laboratory IGs; and synced with value
set activities (HL7, VSAC, etc.).
Overall, we propose to adopt LRI
Release 2 because it addresses errors
and ambiguities found in LRI Release 1
and harmonizes interoperability
requirements with other laboratory
standards we propose to adopt in this
proposed rule (e.g., the HL7 Version
2.5.1 Implementation Guide: S&I
Framework Laboratory Orders from
EHR, DSTU Release 2, US Realm,
2013 104).
As compared to the 2014 Edition
certification criterion, we also propose
more specific requirements for how a
Health IT Module must be capable of
electronically displaying the
information included in a test report.
This specificity would improve the
consistency with how laboratory tests
and values/results are displayed, which
would also assist with laboratory
compliance with CLIA. To meet this
criterion, a Health IT Module would be
required to display the following
information included in laboratory test
reports it receives: (1) the information
for a test report as specified in 42 CFR
493.1291(a)(1) through (a)(3) and (c)(1)
through (c)(7); the information related to
reference intervals or normal values as
specified in 42 CFR 493.1291(d); the
information for alerts and delays as
specified in 42 CFR 493.1291(g) and (h);
and the information for corrected
reports as specified in 42 CFR
493.1291(k)(2).
104 We
have proposed to adopt this
implementation guide for the 2015 Edition ‘‘CPOE
for laboratory orders’’ certification criterion.
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We also propose, for the purposes of
certification, to require a Health IT
Module to be able to use, at a minimum,
the version of Logical Observation
Identifiers Names and Codes (LOINC®)
adopted at § 170.207(c)(3) (version 2.50)
as the vocabulary standard for
laboratory orders. This is the most
recent version of LOINC®. We refer
readers to section III.A.2.d (‘‘Minimum
Standards’’ Code Sets) for further
discussion of our adoption of LOINC®
as a minimum standards code set and
our proposal to adopt version 2.50, or
potentially a newer version if released
before a subsequent final rule, as the
baseline for certification to the 2015
Edition.
We propose to adopt the updated LRI
Release 2 at § 170.205(j)(2), which
requires the modification of the
regulatory text hierarchy in § 170.205(j)
to designate the standard referenced by
the 2014 Edition version of this
certification criterion at § 170.205(j) to
be at § 170.205(j)(1). This regulatory
structuring of the IGs would make the
CFR easier for readers to follow.
EHR–S Functional Requirements LRI
IG/Testing and Certification
Requirements
We seek comment on the HL7 EHR–
S Functional Requirements for the
V2.5.1 Implementation Guide: S&I
Framework Lab Results Interface R2,
Release 1, US Realm, Draft Standard for
Trial Use, Release 1 (‘‘EHR–S IG’’). The
EHR–S IG is currently under ballot
reconciliation with HL7.105 The focus of
the EHR–S IG is the definition of EHR
system functional requirements related
to the receipt of laboratory results that
are compliant with the LRI Release 2.
The EHR–S IG also includes additional
requirements as set forth in CLIA as
well as clinical best practices beyond
the scope of LRI Release 2.
We specifically seek comment on the
clarity and completeness of the EHR–S
IG in describing the requirements
related to the receipt and incorporation
of laboratory results for measuring
conformance of a Health IT Module to
LRI Release 2. In addition, we seek
comment on how a Health IT Module
should be tested and certified
consistently and uniformly for the
incorporation of laboratory results data.
For example, should testing and
certification require the Health IT
Module to demonstration the ability to
associate the laboratory result with an
order or patient, to recall the result for
105 https://www.hl7.org/participate/
onlineballoting.cfm?ref=nav#nonmember. Access to
the current draft of the EHR–S IG is freely available
for review during the public comment period by
establishing an HL7 user account.
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display or for submission to another
technology, and/or to use the result for
automated clinical decision support
interventions? Further, what, if any,
specific capabilities currently included
in the EHR–S IG should be part of
testing and certification for this
criterion?
• Transmission of Laboratory Test
Reports
2015 Edition Health IT Certification Criterion
§ 170.315(b)(5) (Transmission of laboratory
test reports)
We propose to adopt a 2015 Edition
‘‘transmission of laboratory test reports’’
certification criterion that is revised in
comparison to the 2014 Edition
‘‘transmission of electronic laboratory
tests and values/results to ambulatory
providers’’ criterion (§ 170.314(b)(6)).
We have renamed this criterion to more
clearly indicate its availability for the
certification of health IT used by any
laboratory. We propose to adopt and
include the HL7 Version 2.5.1
Implementation Guide: S&I Framework
Lab Results Interface, Draft Standard for
Trial Use, Release 2, US Realm (‘‘LRI
Release 2’’) in the proposed 2015
Edition ‘‘transmission of laboratory test
reports’’ criterion. LRI Release 2 is
currently under ballot reconciliation
with HL7 and should be published in
the next few months.106 We propose to
adopt this standard for the same reasons
discussed in the 2015 Edition
‘‘incorporate laboratory tests and
values/results’’ above. We refer readers
to the description of the LRI Release 2
IG and our rationale for its adoption
discussed in that criterion.
As also discussed in the 2015 Edition
‘‘incorporate laboratory tests and
values/results’’ above, the LRI Release 2
IG requires the information for a test
report as specified at 42 CFR
493.1291(a)(1) through (3), (c)(1)
through (c)(7), (d), (g), (h) and (k)(2) to
be included in the content message.
Therefore, inclusion of this standard for
certification should not only facilitate
improved interoperability of
electronically sent laboratory test
reports (as discussed in more detail in
the 2015 Edition ‘‘incorporate laboratory
tests and values/results’’ criterion), but
also facilitate laboratory compliance
with CLIA as it relates to the
incorporation and display of test results
in a receiving system.
We also propose, for the purposes of
certification, to require a Health IT
106 Access to the current draft of the LRI Release
2 IG is freely available for review during the public
comment period by establishing an HL7 user
account.
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Module to be able to use, at a minimum,
the version of Logical Observation
Identifiers Names and Codes (LOINC®)
adopted at § 170.207(c)(3) (version 2.50)
as the vocabulary standard for
laboratory orders. This is the most
recent version of LOINC®. We refer
readers to section III.A.2.d (‘‘Minimum
Standards’’ Code Sets) for further
discussion of our adoption of LOINC®
as a minimum standards code set and
our proposal to adopt version 2.50, or
potentially a newer version if released
before a subsequent final rule, as the
baseline for certification to the 2015
Edition.
We propose to adopt the updated LRI
Release 2 at § 170.205(j)(2), which
requires the modification of the
regulatory text hierarchy in § 170.205(j)
to designate the standard referenced by
the 2014 Edition version of this
certification criterion at § 170.205(j) to
be at § 170.205(j)(1). This regulatory
structuring of the IGs would make the
CFR easier for readers to follow.
• Data Portability
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2015 Edition Health IT Certification Criterion
§ 170.315(b)(6) (Data portability)
We propose to adopt a 2015 Edition
‘‘data portability’’ certification criterion
that is revised in comparison to the
2014 Edition ‘‘data portability’’
certification criterion (§ 170.314(b)(7)).
Similar to the 2014 Edition version, we
propose to include the 2015 Edition
‘‘data portability’’ criterion in the Base
EHR definition (i.e., the 2015 Base EHR
definition).
For the 2014 Edition ‘‘data
portability’’ criterion, we expressed that
the criterion was intended to enable an
EP, eligible hospital, or CAH to create a
set of export summaries for all patients
in EHR technology formatted according
to the C–CDA that includes each
patient’s most recent clinical
information. (77 FR 54193). We also
included this criterion in the Base EHR
definition as a way to ensure that the
capability was delivered to EPs, eligible
hospitals, or CAHs. By including the
criterion in the Base EHR definition, an
EP, eligible hospital, or CAH must have
EHR technology certified to this
criterion in order to possess EHR
technology that meets the CEHRT
definition.
In the years since the 2014 Edition
final rule was issued (September 2012)
and the subsequent implementation and
use of this capability by EPs, eligible
hospitals, and CAHs, we have received
two types of feedback. From health IT
developers, we have received requests
for clarification about this certification
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criterion’s scope. For example, requests
for clarifications about the data that
must be produced and from how far
back in time the data must be produced.
Whereas from providers (and the
implementation professionals and third
party developers with which they
work), we have generally received more
substantive critiques about the overall
usefulness of the capability and the
ways in which health IT developers met
the certification criterion’s requirements
but did not necessarily deliver on its
intent. Such ‘‘user’’ comments conveyed
that some health IT developers provided
a capability that was difficult or nonintuitive to use, difficult to find to even
use (e.g., ‘‘hidden’’), and in some cases
either required developer personnel to
assist the provider in executing the
capability or limited its execution to
only being done by the developer at the
provider’s request. We have also
received feedback that the scope of
testing has not rigorously assessed the
ability of health IT to create large
quantities of export summaries. As a
result, some providers have reported
challenges and poor performance
associated with this capability.
We believe that this feedback from
CEHRT users indicates that the data
portability certification criterion
adopted in the 2014 Edition has not
provided the data accessibility to
providers we believed would occur as a
result of its adoption. It also indicates
that some health IT developers have
(intentionally or unintentionally)
obstructed the certification criterion’s
true intent—to give providers easy
access and an easy ability to export
clinical data about their patients for use
in a different EHR technology or even a
third party system for the purpose of
their choosing.
To address provider critiques as well
as to provide additional developer
requested clarity, we propose a revised
2015 Edition ‘‘data portability’’
certification criterion as compared to
the 2014 Edition version. The proposed
data portability certification criterion at
§ 170.315(b)(6) approaches data
portability from a slightly different
angle than the 2014 Edition version and
focuses on the following specific
capabilities.
1. As a general rule, we emphasize
that this capability would need to be
user-focused and user driven. A user
must be able to set the configuration
options included within the more
detailed aspects of the criterion and a
user must be able to execute these
capabilities at any time the user chooses
and without subsequent developer
assistance to operate. We expect that
testing of a Health IT Module presented
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16839
for certification to this criterion would
include a demonstration that the Health
IT Module enables a user to
independently execute this capability
without assistance from the health IT
developer beyond normal orientation/
training.
2. The criterion would require that a
user be able to configure the Health IT
Module to create an export summary for
a given patient or set of export
summaries for as many patients
selected. It would also require that these
export summaries be able to be created
according to any of the following
document-template types included in
the C–CDA R2.0 (also proposed as the
content standard in this criterion): CCD;
Consultation Note; History and
Physical; Progress Note; Care Plan;
Transfer Summary; and Referral Note.
We also propose that the Discharge
Summary document template be
included for a Health IT Module
developed for the inpatient setting.
3. From a data perspective, we
propose that the minimum data that a
Health IT Module must be capable of
including in an export summary are: the
data represented by the Common
Clinical Data Set and:
• Encounter diagnoses (according to
the standard specified in § 170.207(i)
(ICD–10–CM) or, at a minimum, the
version of the standard at § 170.207(a)(4)
(September 2014 Release of the U.S.
Edition of SNOMED CT®) 107;
• Cognitive status;
• Functional status;
• For the ambulatory setting only.
The reason for referral; and referring or
transitioning provider’s name and office
contact information; and
• For the inpatient setting only.
Discharge instructions.
4. We propose that a user would need
to be able to be able to configure the
technology to set the time period within
which data would be used to create the
export summary or summaries. And that
this must include the ability to enter in
a start and end date range as well as the
ability to set a date at least three years
into the past from the current date.
5. We propose that a user would need
to be able to configure the technology to
create an export summary or summaries
based on the following user selected
events:
• A relative date or time (e.g., the first
of every month);
107 We refer readers to section III.A.2.d
(‘‘Minimum Standards’’ Code Sets) for further
discussion of our adoption of SNOMED CT® as a
minimum standards code set and our proposal to
adopt the September 2014 Release (U.S. Edition), or
potentially a newer version if released before a
subsequent final rule, as the baseline for
certification to the 2015 Edition.
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• A specific date or time (e.g., on 10/
24/2015); and
• When a user signs a note or an
order.
6. We propose that a user would need
to able to configure and set the storage
location to which the export summary
or export summaries are intended to be
saved.
Again, we emphasize that all these
capabilities would need to be able to be
configured and executed by a user
without the aid of additional health IT
developer personnel and without the
need to request developer action.
Further, we also reiterate that we have
expanded the nature and focus of this
criterion to more precisely address
provided critiques as well as to expand
the anticipated and potential uses
providers can deploy based on this more
configuration focused criterion.
• Data Segmentation for Privacy
We propose to adopt two new
certification criteria that would focus on
the capability to separately track
(‘‘segment’’) individually identifiable
health information that is protected by
rules that are more privacy-restrictive
than the HIPAA Privacy Rule. This type
of health information is sometimes
referred to as sensitive health
information. The HIPAA Privacy Rule
serves as the federal baseline for health
information privacy protections. It also
generally permits the use or disclosure
of protected health information (PHI) for
limited specific purposes (such as
treatment and payment) without a
patient’s permission.108
The HIPAA Privacy Rule does not
override (or preempt) more privacyprotective federal and state privacy
laws. A number of federal and state
health information privacy laws and
regulations are more privacy-protective
than the HIPAA Privacy Rule. Typically,
these rules require a patient’s
permission (often referred to as
‘‘consent’’ in these rules) in writing in
order for the individually identifiable
health information regulated by those
laws to be shared. One example is the
Federal Confidentiality of Alcohol and
Drug Abuse Patient Records regulations
(42 CFR part 2) (‘‘part 2’’) that apply to
information about treatment for
substance abuse from federally funded
programs.109 There are also federal laws
protecting certain types of health
information coming from covered U.S.
Department of Veterans Affairs facilities
and programs (38 U.S.C. 7332). These
108 https://www.hhs.gov/ocr/privacy/hipaa/
administrative/privacyrule/.
109 https://www.healthit.gov/sites/default/files/
privacy-security/gwu-data-segmentation-finalcover-letter.pdf.
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laws and comparable state laws were
established, in part, to address the social
stigma associated with certain medical
conditions by encouraging people to get
treatment and providing them a higher
degree of control over how their health
information may be shared. These laws
place certain responsibilities on
providers to maintain the
confidentiality of such information.
More restrictive state laws also protect
certain categories of individually
identifiable health information, such as
information regarding minors or
teenagers, intimate partner/sexual
violence, genetic information, and HIVrelated information.110 These laws and
regulations remain in effect and changes
to these laws and regulations are not
within the scope of this proposed
rule.111 However, with these laws in
mind, the proposals that follow seek to
encourage the development and use of
a technical capability that permits users
to comply with these existing laws and
regulations. These proposals are also in
line with the Connecting Health and
Care for the Nation: A Shared
Nationwide Interoperability Roadmap
Version 1.0.112 HHS is committed to
encouraging the development and use of
policy and technology to advance
patients’ rights to access, to amend, and
to make choices for the disclosure of
their electronic individually identifiable
health information. HHS also noted
support for the development of
standards and technology to facilitate
patients’ ability to control the disclosure
of specific information that is
considered by many to be sensitive in
nature (such as information related to
substance abuse treatment, reproductive
health, mental health, or HIV) in an
electronic environment.113
Technological advances are creating
opportunities to share data and allow
patient preferences to electronically
persist in health IT. In 2012, ONC
launched the Data Segmentation for
Privacy (DS4P) initiative through ONC’s
Standards and Interoperability (S&I)
110 https://www.healthit.gov/providersprofessionals/patient-consent-electronic-healthinformation-exchange/health-information-privacylaw-policy.
111 For a policy discussion, see Substance Abuse
and Mental Health Services Administration
(SAMHSA)’s recent public listening session
pertaining to the federal confidentiality of
regulations: https://www.federalregister.gov/
articles/2014/05/12/2014-10913/confidentiality-ofalcohol-and-drug-abuse-patient-records.
112 https://www.healthit.gov/sites/default/files/
nationwide-interoperability-roadmap-draft-version1.0.pdf.
113 https://www.healthit.gov/sites/default/files/
nationwide-interoperability-roadmap-draft-version1.0.pdf.
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Framework.114 The DS4P initiative
aimed to provide technical solutions
and pilot implementations to help meet
existing legal requirements in an
increasingly electronic environment.115
The DS4P initiative worked to enable
the implementation and management of
varying disclosure policies in an
electronic health information
environment in an interoperable
manner. Overall, the DS4P initiative and
its subsequent pilots focused on the
exchange of health information in the
context of 42 CFR part 2 and sought to
develop technical standards that would
enable a provider to adopt health IT that
could segment electronic sensitive
health information regulated by more
restrictive laws and make compliance
with laws like Part 2 more efficient.
Since the sunset of the DS4P initiative
in April 2014, there have been live
implementations and public testimony
regarding the success and practical
application of the DS4P standard.
Organizations including the Substance
Abuse and Mental Health Services
Administration (SAMHSA), the U.S.
Department of Veterans Affairs (VA),
and private companies that participated
in the initiative have moved to
production use of DS4P. For example, a
stakeholder who implemented the DS4P
part 2 solution noted that the DS4P
technical capability implemented in
parts of Florida has saved some
hospitals millions of dollars associated
with the cost of care because the
patients they treat with substance use
issues or behavioral health issues were
able to send an electronic referral and
get a discharge performed earlier in the
process.116 Another technology
stakeholder incorporated the DS4P
technical functionality into its
behavioral health and general hospital
health IT solutions released this year.
Most recently, SAMHSA developed an
open source technology for patient
consent management that uses the DS4P
standard.117 In September 2014, this
technical solution was deployed into a
live environment at a public health
department.
The technical specifications are
outlined in the HL7 Version 3
Implementation Guide: DS4P, Release 1
114 https://wiki.siframework.org/
Data+Segmentation+for+Privacy+Use+Cases.
115 For more information about enabling privacy
through data segmentation technology, see https://
www.healthit.gov/providers-professionals/enablingprivacy.
116 See Health IT Policy Committee’s (HITPC)
Privacy and Security Tiger Team Public Meeting,
Transcript, (Apr. 16, 2014), p. 14, https://
www.healthit.gov/facas/sites/faca/files/
PSTT_Transcript_Final_2014-04-16.pdf.
117 https://www.healthit.gov/providersprofessionals/ds4p-initiative.
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(DS4P IG), Part 1: CDA R2 and Privacy
Metadata.118 The DS4P IG describes the
technical means of applying security
labels (privacy metadata) which can be
used to enact any security or privacy
law, regulation, or policy so that the
appropriate access control decisions
will be made regarding downstream use,
access or disclosure for specially
protected data so that appropriate
metadata tags are applied.
Conceptually, the DS4P approach
utilizes metadata applied in layers (e.g.
metadata applied to the header, section,
or entry levels of a C–CDA document).
The DS4P technical approach defaults
to privacy metadata tagging at the
document level. If an organization
chooses to apply additional privacy
metadata tagging within a document,
that optional technical capability is also
described within the IG for CDA. If a
receiving system is unable to process
section or entry level privacy metadata,
the default is tagging at the document
level. The approach relies on certain
electronic actions being taken by both
the sending system and the receiving
system. The sending system must:
1. Identify information that requires
enhanced protection or is subject to
further restrictions;
2. Verify that the patient’s privacy
consent decision allows for the
disclosure of health information; 119 and
3. Add privacy metadata to the health
information being disclosed.
In turn, the receiving system must:
1. Be able to process the privacy
metadata associated with the received
health information; and
2. Verify the patient’s consent before
re-disclosure, if the receiving system has
a need to re-disclose the information.
Data segmentation technology
emerged to enable health care providers’
use of technology to comply with
existing privacy laws, regulations, and
policies. The term ‘‘data segmentation’’
is often used to describe the electronic
labeling or tagging of a patient’s health
information in a way that allows
patients or providers to electronically
share parts,120 but not all, of a patient
record. For example, data segmentation
technology can be applied to the sharing
of electronic sensitive health
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118 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=354. Completed
Normative Ballot in January 2014 and was
successfully reconciled in February 2014. HL7
approved the final standard for publication and
ANSI approved in May 2014.
119 https://www.healthit.gov/providersprofessionals/patient-consent-electronic-healthinformation-exchange.
120 The HL7 approved standard does allow for
tagging at the data element level, but this proposed
rule is suggesting just applying the DS4P to the
document level.
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information, because that information is
afforded greater protections under
various state and federal laws,121 as is
discussed above. In this proposed rule,
we propose to offer two certification
criteria that would allow for health IT
to be presented for testing and
certification to the DS4P standard. We
view the proposed offering of
certification to these criteria as an initial
step on technical standards towards the
ability of an interoperable health care
system to compute and persist the
applicable permitted access, use or
disclosure; whether regulated by state or
federal laws regarding sensitive health
information or by an individual’s
documented choices about downstream
access to, or use or disclosure to others
of, the identifiable individual’s health
information. The application of the
DS4P standard at the document level is
an initial step. We understand and
acknowledge additional challenges
surrounding the prevalence of
unstructured data, sensitive images, and
potential issues around use of sensitive
health information by CDS systems. The
adoption of document level data
segmentation for structured documents
will not solve these issues, but will help
move technology in the direction where
these issues can be addressed.
For example, today, electronic
sensitive health information is not
typically kept in the same repository as
non-sensitive data. If security labels
were applied to C–CDA documents at
the time they are created (see ‘‘data
segmentation for privacy—send’’
certification criterion), the receiving
system would have more choices about
how to store and use that sensitive
information. If the receiving system had
the capability to grant access to the
tagged documents by using the security
labels as part of the access control
decision, then co-mingling the tagged,
sensitive health information with the
non-sensitive data becomes more
achievable.
In July 2014, the HITPC provided
recommendations on the use of DS4P
technology to enable the electronic
implementation and management of
disclosure policies that originate from
the patient, the law, or an organization,
in an interoperable manner, so that
electronic sensitive health information
may be appropriately shared.122 The
121 https://www.healthit.gov/providersprofessionals/patient-consent-electronic-healthinformation-exchange/health-information-privacylaw-policy.
122 See Health IT Policy Committee (HITPC)
Recommendation Letter to ONC, July 2014, https://
www.healthit.gov/facas/sites/faca/files/
PSTT_DS4P_Transmittal%20Letter_2014-07-03.pdf;
see also HITPC’s Privacy and Security Tiger Team
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HITPC noted a clear need to provide
coordinated care for individuals with
mental health and/or behavioral health
issues. The HITPC recognized that the
ability of patients to withhold consent
to disclose information remains a
concern for providers. In particular,
providers want to provide the best care
for patients, but they have concerns
about incomplete records due to both
professional obligation and liability
considerations. While the need for
providers to act on incomplete
information is not necessarily new, the
use of health IT may create an
expectation of more complete
information.123 In recognition of the
consumer, business, clinical, and
technical complexities, the HITPC
suggested a framework of two glide
paths for the exchange of 42 CFR part
2-protected data, based on whether the
subject is sending or receiving
information.124 As a first step in the
glide path, the HITPC recommended
that we include Level 1 (document level
tagging) send and receive
functionality.125 Document level is the
most basic level of privacy metadata
tagging described in the DS4P standard.
The following two proposals would
implement the HITPC’s
recommendations.
• Data Segmentation for Privacy—
Send
2015 Edition Health IT Certification Criterion
§ 170.315(b)(7) (Data segmentation for privacy—send)
A provider currently cannot send
sensitive patient information
electronically without some technical
capability to indicate information is
subject to restrictions, such as a
prohibition on re-disclosure without
consent, consistent with 42 CFR part 2.
The sending provider also must have
confidence that the receiver can
properly handle electronically sent 42
CFR part 2-covered data. Because
neither of these functionalities are
currently supported in certification,
sensitive health information such as 42
CFR part 2-covered data is often only
Public Meeting, Transcript, May 12, 2014, https://
www.healthit.gov/facas/sites/faca/files/
PSTT_Transcript_Final_2014-05-12.pdf; Public
Meeting, Transcript, May 27, 2014, https://
www.healthit.gov/facas/sites/faca/files/
PSTT_Transcript_Final_2014-05-27.pdf.
123 Id.
124 For more details on the two glide paths for
part 2-protected data, see https://www.healthit.gov/
facas/sites/faca/files/
PSTT_DS4P_Transmittal%20Letter_2014-07-03.pdf.
125 Id. See also, related HITPC recommendations
pertaining to data segmentation submitted to ONC
in September 2010: https://www.healthit.gov/sites/
faca/files/hitpc_transmittal_p_s_tt_9_1_10_0.pdf.
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shared via paper and fax. We propose,
consistent with the HITPC
recommendations, that for certification
to this criterion, a Health IT Module
must be able to send documents using
document level tagging (Level 1) in
accordance with the DS4P IG. Document
level tagging enables health IT to send
the 42 CFR part 2-covered data along
with the appropriate privacy metadata
tagging and keep it sequestered from
other data. The DS4P IG, which
includes Level 1 functionality, provides
guidance to allow, with proper
authorization, a system to send a C–
CDA with tags indicating any
restrictions (such as a prohibition on redisclosure without consent). While the
DS4P IG specifies the technical means
for applying privacy metadata tagging to
C–CDA documents, it also optionally
supports use of privacy metadata
tagging within the document (at the
section and entry levels). We only
propose to require the document level
functionality for sending as part of
certification to this criterion.
• Data Segmentation for Privacy—
Receive
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2015 Edition Health IT Certification Criterion
§ 170.315(b)(8) (Data segmentation for privacy—receive)
In general, 42 CFR part 2-covered data
is not currently provided electronically
to healthcare providers through
electronic exchange. Instead, the status
quo remains to share 42 CFR part 2covered data via paper and fax. In line
with the HITPC recommendations, we
propose a certification criterion that
would require a Health IT Module to be
able to receive 42 CFR part 2-covered
data in accordance with the DS4P IG.
DS4P at the document level (Level 1) of
the recommendations allows recipient
health IT to receive, recognize, and view
documents with privacy metadata
tagging indicating certain restrictions
from 42 CFR part 2 providers with the
document sequestered from other health
IT data. A recipient provider could use
document level tagging to sequester the
document from other documents
received and help prevent unauthorized
re-disclosure, while allowing the
sensitive data to flow more freely to
authorized recipients. Thus, consistent
with the HITPC recommendations, we
propose that a Health IT Module be able
to receive documents tagged with
privacy metadata tagging (Level 1).
• Care Plan
2015 Edition Health IT Certification Criterion
§ 170.315(b)(9) (Care plan)
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We propose to adopt a new 2015
Edition certification criterion that
would reflect a Health IT Module’s
ability to enable a user to record,
change, access, create and receive care
plan information in accordance with the
‘‘Care Plan document template’’ in the
C–CDA Release 2.0 standard.
The S&I Framework Longitudinal
Coordination of Care (LCC) Longitudinal
Care Plan Sub-Work Group defined a
‘‘care plan’’ as ‘‘the synthesis and
reconciliation of the multiple plans of
care produced by each provider to
address specific health concerns. It
serves as the blueprint shared by all
participants to guide the individual’s
care. As such, it provides the structure
required to coordinate care across
multiple sites, providers, and episodes
of care.’’ 126 The care plan helps
multiple providers and caregivers align
and coordinate care, which is especially
valuable for patients living with chronic
conditions and/or disabilities. It also
provides a structure to promote the
consideration of a patient’s future goals
and expectations in addition to
managing their currently active health
issues.
The C–CDA Release 2.0 contains a
Care Plan document template that
reflects these principles and provides a
structured format for documenting
information such as the goals, health
concerns, health status evaluations and
outcomes, and interventions. Note that
the Care Plan document template is
distinct from the ‘‘Plan of Care Section’’
in previous versions of the C–CDA. The
Care Plan document template represents
the synthesis of multiple plans of care
(for treatment) for a patient, whereas the
Plan of Care Section represented one
provider’s plan of care (for treatment).
To make this distinction clear, the C–
CDA Release 2.0 has renamed the
previous ‘‘Plan of Care Section’’ as the
‘‘Plan of Treatment Section (V2).’’
Given the value for improved
coordination of care, we propose a new
2015 Edition certification criterion for
‘‘care plan’’ that would require a Health
IT Module to enable a user to record,
change, access, create, and receive care
plan information in accordance with the
‘‘Care Plan document template’’ in the
HL7 Implementation Guide for CDA®
Release 2: Consolidated CDA Templates
for Clinical Notes.127 The IG provides
guidance for implementing CDA
documents, including the Care Plan
document template. The ‘‘transitions of
126 https://wiki.siframework.org/file/view/
Care%20Plan%20Glossary_v25.doc/404538528/
Care%20Plan%20Glossary_v25.doc.
127 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=379.
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care’’ certification criterion proposed
elsewhere in this section of the
preamble would require a Health IT
Module enable a user to send and
receive transitions of care/referral
summaries according to the C–CDA
Release 2.0, which would include the
Care Plan document template.
Therefore, this criterion would focus
only on a Health IT Module’s ability to
enable a user to record, change, access,
create, and receive care plan
information. We welcome comment on
our proposal, including whether we
should require certain ‘‘Sections’’ that
are currently deemed optional as part of
the Care Plan document template for
certification to this criterion. For
example, we invite comment on
whether we should require the optional
‘‘Health Status Evaluations and
Outcomes Section’’ and ‘‘Interventions
Section (V2)’’ as part of certification to
this criterion, and if so, for what value/
use case.
• Clinical Quality Measures—Record
and Export
2015 Edition Health IT Certification Criterion
§ 170.315(c)(1) (Clinical quality measures—
record and export)
We propose to adopt a 2015 Edition
certification criterion for ‘‘clinical
quality measures (CQM)—record and
export’’ that is revised in comparison to
the 2014 Edition ‘‘CQM—capture and
export’’ certification criterion
(§ 170.314(c)(1)). In order to align with
our use of the term ‘‘record’’ used in
other 2014 and 2015 Edition
certification criteria, we propose to call
this certification criterion ‘‘CQM—
record and export.’’ We explain the term
‘‘record’’ in the 2014 Edition final rule
at 77 FR 54168.128 We propose to
require that a system user be able to
export CQM data at any time the user
chooses and without subsequent
developer assistance to operate. We also
propose to require that this certification
criterion be part of the set of criteria
necessary to satisfy the ‘‘2015 Edition
Base EHR’’ definition (see also section
III.B.1 of this preamble for a discussion
of the proposed 2015 Edition Base EHR
definition). Last, we solicit comment on
the version of standards we should
adopt for this certification criterion.
Standards for Clinical Quality Measures
In the 2014 Edition ‘‘CQM—capture
and export’’ certification criterion, we
require that technology must be able to
export a data file formatted in
128 ‘‘Record’’ is used to mean the ability to
capture and store information in technology.
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accordance with the HL7
Implementation Guide for CDA Release
2: Quality Reporting Document
Architecture (QRDA), DSTU Release 2
(July 2012) standard. We understand
that the industry is working to
harmonize both clinical quality
measurement and CDS standards
through initiatives such as the Clinical
Quality Framework (CQF) S&I initiative.
CDS guides a clinician to follow a
standard plan of care, while CQMs
measure adherence to a standard plan of
care. Thus, these two areas are closely
related and would benefit from standard
ways to reference patient data within
health IT as well as common logic to
define a sub-population. The CQF S&I
initiative is working to define a shared
format, terminology, and logic between
CQMs and CDS for improved efficiency,
cost, and quality of care.
In order to harmonize CQM and CDS
standards, the industry is using pieces
of existing CQM standards (e.g., Health
Quality Measures Format (HQMF),
QRDA Categories I and III, and the
Quality Data Model (QDM)) and CDS
standards (e.g., Clinical Decision
Support Knowledge Artifact
Specification (also known as HeD
Schema) and the Virtual Medical
Record). HL7 issued an errata
(September 2014) 129 that reflects
updates based on an incremental
version of the harmonized CQM and
CDS standards (i.e., QDM-based HQMF
Release 2.1).130 This errata is meant to
be used in conjunction with the July
2012 QRDA IG we adopted in the 2014
Edition. Our understanding is that the
fully harmonized CQM and CDS
standards will be based on the Quality
Improvement and Clinical Knowledge
(QUICK) data model,131 and that the
industry expects to ballot a QUICK
FHIR-based DSTU serving the same
function as the HQMF standard at the
May 2015 HL7 meeting. Subsequent
standards for electronically processing
and reporting CQMs and CDS would
then be expected to be built on the
QUICK data model, including a QRDAlike standard based on the anticipated
QUICK FHIR-based DSTU.
Given the timing of this proposed rule
and the expected deliverables for
129 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=35. Please note that
in order to access the errata, the user should
download the ‘‘HL7 Implementation Guide for CDA
Release 2: Quality Reporting Document
Architecture—Category I, DSTU Release 2 (US
Realm)’’ package.
130 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=97.
131 https://www.hl7.org/special/Committees/
projman/searchable
ProjectIndex.cfm?action=edit&Project
Number=1045.
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harmonized CQM and CDS standards as
described above, we solicit comment on
the version of QRDA or the QRDA-like
standards we should adopt for this
certification criterion. Specifically, we
solicit comment on the following three
options:
• HL7 Implementation Guide for CDA
Release 2: Quality Reporting Document
Architecture (QRDA), DSTU Release 2
(July 2012);
• HL7 Implementation Guide for CDA
Release 2: Quality Reporting Document
Architecture (QRDA), DSTU Release 2
(July 2012) and the September 2014
Errata; or
• A QRDA-like standard based on the
anticipated QUICK FHIR-based
DSTU.CQM standards we should adopt
for this certification criterion.
We anticipate that the QUICK data
model will not be available to review
during the public comment period of
this NPRM, and welcome stakeholder
input on the usefulness of adopting the
current (July 2012) QRDA standard
alone or in conjunction with the
September 2014 errata given that we
anticipate there will be harmonized
CQM and CDS standards available in
mid-2015. We also seek to understand
the tradeoffs stakeholders perceive in
adopting each standard provided that
the EHR Incentive Programs Stage 3
proposed rule is proposing that
technology certified to the 2015 Edition
would not be required until January 1,
2018, but that technology certified to the
2015 Edition ‘‘CQM—record and
export’’ certification criterion would be
needed for EPs, eligible hospitals, and
CAHs participating in the EHR Incentive
Programs Stage 3 objectives and
measures in 2017. Thus, we welcome
input on recommended QRDA
standards for the ‘‘CQM—record and
export’’ certification criterion factoring
in where the industry may be with
adoption of CQM and CDS standards
over the next few years.
User Ability To Export CQM Data
We have received stakeholder
feedback that some systems certified to
the 2014 Edition ‘‘CQM—capture and
export’’ certification criterion do not
provide users with the ability to export
data ‘‘on demand’’ nor to export batches
of multiple patients simultaneously.
Rather, some users of certified health IT
must request this functionality from the
health IT developer. Our intent is that
users should be able to export CQM data
formatted to the QRDA standard at any
time the user chooses for one or
multiple patients and without
additional assistance. Thus, as
proposed, when a Health IT Module is
presented for certification to this
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criterion, we would expect that testing
of the Health IT Module would include
demonstration of a user’s ability to
export CQM data without subsequent
health IT developer assistance beyond
normal orientation/training.
• Clinical Quality Measures—Import
and Calculate
2015 Edition Health IT Certification Criteria
§ 170.315(c)(2) (Clinical quality measures—
import and calculate)
We propose to adopt a 2015 Edition
certification criterion for ‘‘clinical
quality measures (CQM)—import and
calculate’’ that is revised in comparison
to the 2014 Edition ‘‘CQM—import and
calculate’’ certification criterion
(§ 170.314(c)(2)). We propose to require
that a system user be able to import
CQM data at any time the user chooses
and without subsequent health IT
developer assistance to operate. We also
no longer include an exemption that
would allow a Health IT Module
presented for certification to all three
CQM certification criteria
(§§ 170.315(c)(1), (c)(2), and (c)(3)) to
not have to demonstrate the data import
capability. Last, we solicit comment on
our intended direction for testing and
certifying health IT and the version of
standards we should adopt for this
certification criterion.
User Ability To Import CQM Data
We have received stakeholder
feedback that some systems certified to
the 2014 Edition ‘‘CQM—import and
calculate’’ certification criterion do not
provide users the ability to import data
‘‘on demand,’’ and rather users must
request this functionality from the
system developer or vendor. Our intent
is that users should be able to import
CQM data formatted to the QRDA
standard for one or multiple patients at
any time the user chooses and without
additional assistance. Thus, when a
Health IT Module is presented for
certification to this criterion, we would
expect that testing of the Health IT
Module would include demonstration of
a user’s ability to import CQM data
without subsequent health IT developer
assistance beyond normal orientation/
training.
Import of CQM Data
For the 2014 Edition, we do not
require systems that certify to
§ 170.314(c)(1) (CQM—capture and
export), § 170.314(c)(2) (CQM—import
and calculate), and § 170.314(c)(3)
(CQM—electronic submission) to have
to demonstrate that they can import data
files in accordance with the QRDA
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standard. In 2012, we adopted this
policy because we did not believe that
systems that could perform capture,
export, and electronic submission
functions would need to import CQM
data as they were in essence ‘‘selfcontained’’ (77 FR 54231). However, we
have received stakeholder input
recommending that all systems should
be able to import CQM data and that
there could be instances were a provider
using one technology to record CQM
data could not subsequently import
such data into a different technology.
We agree with this feedback. Therefore,
this exemption will no longer carry
forward as part of the proposed 2015
Edition version of this certification
criterion. This means that a Health IT
Module presented for certification to
this certification criterion
(§ 170.315(c)(2)) would need to be able
to demonstrate the ability to import data
in order to be certified to this
certification criterion even if they also
certify to provide ‘‘record and export’’
and ‘‘electronic submission/report’’
functions.
Testing of Import and Calculate
Functionalities
The testing procedures for the 2014
Edition ‘‘CQM—import and calculate’’
certification criterion only test that
technology can import a small number
of test records and use those for
calculation of CQM results. We have
received feedback that technology
should be able to import a larger
number of test records and that we
should test this ability to reflect realworld needs for technology. With the
import of a large number of records,
technology also needs to be able to deduplicate records for accurate
calculation of CQM results. Therefore
for testing and certification to the
proposed 2015 Edition ‘‘CQM—import
and calculate’’ certification criterion, we
intend for testing to include that
technology can import a larger number
of test records compared to testing for
the 2014 Edition and automatically deduplicate them for accurate CQM
calculation. We welcome comment on
our proposed intentions to test a larger
number of test records compared to the
2014 Edition test procedure and that a
Health IT Module could eliminate
duplicate records. We also request
comment on the number of test records
we should consider testing a Health IT
Module for performing import and
calculate functions.
Standards for Clinical Quality Measures
We describe above in the preamble for
the proposed 2015 Edition ‘‘CQM—
record and export’’ certification
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criterion our understanding of the
industry’s timeline and expected
deliverables for harmonized CQM and
CDS standards. Given the discussion
above, we also solicit comment on the
QRDA standards we should consider
adopting for this 2015 Edition ‘‘CQM—
import and calculate’’ certification
criterion.
• Clinical Quality Measures—Report
2015 Edition Health IT Certification Criteria
§ 170.315(c)(3) [Reserved]
In the 2014 Edition, we adopted a
‘‘CQM—electronic submission’’
certification criterion that requires
technology to enable a user to
electronically create a data file for
transmission of CQM data in accordance
with QRDA Category I and III standards
and ‘‘that can be electronically accepted
by CMS’’ (§ 170.314(c)(3)). We have
received stakeholder feedback
recommending we better align our
certification policy and standards for
electronically-specified CQM (eCQM)
reporting with other CMS programs that
include eCQMs, such as the Physician
Quality Reporting System (PQRS) and
Hospital Inpatient Quality Reporting
(IQR) programs. The PQRS and Hospital
IQR programs update their measure
specifications on an annual basis
through rulemaking in the Physician
Fee Schedule (PFS) and Inpatient
Prospective Payment Systems (IPPS)
rules respectively.
To better align with the reporting
requirements of other CMS programs,
we intend to propose certification
policy for reporting of CQMs in or with
annual PQRS and/or Hospital IQR
program rulemaking. We anticipate we
will propose standards for reporting of
CQMs that reflect CMS’ requirements
for the ‘‘form and manner’’ of CQM
reporting (e.g., CMS program-specific
QRDA standards), allowing for annual
updates of these requirements as
necessary. Under this approach, the
‘‘CQM—report’’ certification policy and
associated standards for the 2015
Edition that support achieving EHR
Incentive Program requirements would
be proposed jointly with the calendar
year (CY) 2016 PFS and/or IPPS
proposed rules. We anticipate these
proposed and final rules will be
published in CY 2015. We clarify that
we anticipate removing ‘‘electronic’’
from the name of this certification
criterion. As described in the preamble,
we expect that all functions proposed in
the 2015 Edition certification criteria are
performed or demonstrated
electronically. Thus, it is not necessary
to specifically include this requirement
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in the title of this certification criterion.
We also anticipate naming this
certification criterion ‘‘report’’ instead
of ‘‘submission’’ to better align with the
language we use in other certification
criteria that also require demonstration
of the same functionality to submit data.
• Clinical Quality Measures—Filter
2015 Edition Health IT Certification Criterion
§ 170.315(c)(4) (Clinical quality measures—
filter)
We propose to adopt a new 2015
Edition certification criterion for CQM
filtering. In the Voluntary Edition
proposed rule, we proposed a new
certification criterion that would require
health IT to be able to record structured
data for the purposes of being able to
filter CQM results to create different
patient population groupings by one or
more of a combination of certain patient
characteristics 132 (79 FR 10903–04). We
proposed this capability to support
eCQM reporting where the reporting
entity is not an individual provider but
rather a group practice or an
accountable care organization (ACO).
We also proposed certain patient
characteristics that would support
identification of health disparities, help
providers identify gaps in quality, and
support a provider in delivering more
effective care to sub-groups of their
patients. We did not adopt this
certification criterion in the 2014
Edition Release 2 final rule as we
received comments recommending we
further refine the use cases and perform
more analysis of which data elements
are being captured in standardized ways
(79 FR 54462).
CMS offers various options for
providers to report quality data as part
of a group instead of individually
reporting as individual providers. For
example, the PQRS offers the Group
Practice Reporting Option (GPRO) that
allows for assessment and payment (or
adjustment) based on reporting of data
on quality measures at the group level.
Similarly, there are group reporting
options, including the GRPO under the
PQRS for reporting data used to assess
quality for purposes of the Value
Modifier under the Medicare Physician
Fee Schedule. Another CMS group
reporting option is the Comprehensive
Primary Care (CPC) initiative. In the
CPC initiative, participating primary
132 Practice site and address; Tax Identification
Number (TIN), National Provider Identifier (NPI),
and TIN/NPI combination; diagnosis; primary and
secondary health insurance, including
identification of Medicare and Medicaid dual
eligible; demographics including age, sex, preferred
language, education level, and socioeconomic
status.
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care practices receive care management
fees to support enhanced, coordinated
services. In the CPC initiative, each
physical site location is counted as a
‘‘practice.’’ A group practice may
encompass several primary care sites, of
which some, but not all, are
participating in CPC. Because the unit of
analysis in CPC is the practice site, CMS
requires all CPC participants to report
CQMs at the level of the practice rather
than at the level of the individual
provider. Each CPC practice’s quality
results, which include performance on
patient experience and claims measures
as well as CQMs, are tied to the
distribution of any Medicare shared
savings calculated and earned at the
level of the Medicare population of each
region participating in the initiative.
ACO models and programs, such as
the Medicare Shared Savings Program
(MSSP) and CMS Pioneer ACO Model,
include groups of doctors, hospitals,
and other health care providers who
come together voluntarily to give
coordinated high quality care to their
patients. In ACO models and programs,
the providers that participate in the
ACO share responsibility for the care
and outcomes of their patients. For
example, MSSP participants are
rewarded if the ACO lowers the growth
in its health care costs while meeting
performance standards on quality of
care. ACOs are required to internally
report on cost and quality metrics
associated with the activities of their
practitioners, to promote the use of
evidence-based medicine, and to
support the care coordination activities
of their practitioners. Understanding the
practice patterns of individual
practitioners for services provided on
behalf of the ACO is therefore important
for such organizations.
In some cases, not all providers
practicing at a particular practice site
location or in an ACO will be
participating in the group practice or
ACO reporting options. The National
Provider Identifier (NPI) is insufficient
by itself to attribute a provider’s
performance to a particular group
practice or ACO, as the provider could
practice in multiple health care
organizations. Likewise, a health care
organization may have multiple Tax
Identification Numbers (TINs).
Currently, data may be accessed by
filtering on either the TIN or the NPI,
but not in combination due, in part, to
current CMS reporting requirements and
limitations of health IT being used by
providers. The ability to filter by a
combination of NPI/TIN could allow for
more specific and proper attribution of
a provider’s performance to the correct
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organization for aggregating group
practice or ACO quality measure results.
Health IT should support an
organization’s ability to filter both
individual patient level and aggregate
level eCQM results by data that would
support administrative reporting as well
as identification of health disparities
and gaps in care for patients being
treated at particular group practice sites
or in a given ACO. We, therefore,
propose a new certification criterion for
CQM filtering that would require health
IT to be able to record data (according
to specified standards, where
applicable) and filter CQM results at
both patient and aggregate levels by
each one and any combination of the
following data:
• TIN;
• NPI;
• Provider type;
• Patient insurance;
• Patient age;
• Patient sex in accordance with the
standard specified in § 170.207(n)(1)
(HL7 Version 3);
• Patient race and ethnicity in
accordance with the standards specified
in § 170.207(f)(1) (OMB standard) and,
at a minimum, (f)(2) (‘‘Race &
Ethnicity—CDC’’ code system in the
PHIN VADS);
• Patient problem list data in
accordance with, at a minimum, the
version of the standard specified in
§ 170.207(a)(4) (September 2014 Release
of the U.S. Edition of SNOMED CT®);
and
• Practice site address.
We clarify that a Health IT Module
must be able to filter by any
combination of the proposed data
elements (i.e., by any one (e.g., provider
type) or a combination of any of the data
elements (e.g., combination of TIN and
NPI or combination of all data)). We also
note that this combination requirement
is different than other proposed
certification criteria in that it requires
all combinations to be demonstrated for
certification and not just one. We
anticipate that if adopted, stakeholders
may want to expand the list of data in
this certification criterion and support
the reporting needs of additional
programs over time. Our intent with this
proposal is to continue to work with
CMS and other stakeholders to ensure
that this list of data represents a
common and relatively stable set across
program needs in support of program
alignment.
For certain data elements, we have
specified vocabulary standards (as
identified above) to maintain
consistency in the use of adopted
national standards. As part of the 2014
Edition, technology is certified to record
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patient race, ethnicity, and problem lists
in accordance with standards. In this
proposed rule, for the ‘‘demographics’’
certification criterion and other criteria,
we propose to certify a Health IT
Module to record patient sex, race, and
ethnicity in accordance with standards
we propose to adopt as part of the 2015
Edition. We also propose to certify a
Health IT Module to the record patient
problem lists in accordance with the
latest version of the SNOMED CT®
standard. Please refer to the proposed
‘‘demographics’’ and ‘‘problem list’’
certification criteria discussed earlier in
this section of the preamble for a more
detailed discussion about the standards.
We are also aware that patient sex, race,
and ethnicity are being collected as
supplemental data to the Quality
Reporting Data Architecture (QRDA)
Category I and III files for eCQM
reporting to CMS. Collection of patient
date of birth is currently required as part
of the 2014 Edition ‘‘demographics’’
certification criterion, and is being
proposed for the 2015 Edition
‘‘demographics’’ certification criterion.
Therefore, we believe there should not
be a large developmental burden to
enable a Health IT Module to record
these data because they are already
being collected through policy
established in the 2014 Edition and/or
are being proposed as part of 2015
Edition certification criteria discussed
elsewhere in this proposed rule.
We are aware that patient insurance
can be collected using a payer value set
that denotes whether the patient has
Medicare, Medicaid, and/or another
commercial insurance. We solicit
comment on other payer value sets that
could be leveraged to support this
proposal. We believe that provider type
could also inform quality improvement
if there are differences in quality
measure results by different types of
providers. We are aware of the
Healthcare Provider Taxonomy Code Set
designed to categorize the type,
classification, and/or specialization of
health care providers.133 Health care
providers applying for an NPI must
select a Healthcare Provider Taxonomy
Code or code description during the
application process. We solicit comment
on the appropriateness of this code set
for classifying provider types as well as
other standards that could be used
classify provider types.
In order to support the identification
of CQM results for a particular practice,
we propose to include practice site
address in the list of data. We note that
133 https://www.cms.gov/Medicare/ProviderEnrollment-and-Certification/
MedicareProviderSupEnroll/Taxonomy.html
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while this information may not be
needed for CQM filtering at the ACO
level, certification would require that
health IT enables a user to record
practice site address, but not dictate that
a user must include this information.
We believe the industry is aware of the
need to identify a standard way to
represent address. While such a
standard is being developed, we believe
that to support group or practice
reporting, having the address is one of
the key data elements that would allow
a provider using health IT to filter CQM
results at the practice or group level. We
solicit comment on standards for
collecting address data that could be
leveraged to support this functionality.
We solicit comment on the
appropriateness of the proposed data
elements for CQM filtering, including
whether they are being captured in
standardized vocabularies. We also
solicit comment on additional data
elements that we should consider for
inclusion and standardized vocabularies
that might be leveraged for recording
this information in health IT.
• Authentication, Access Control,
and Authorization
2015 Edition Health IT Certification Criterion
§ 170.315(d)(1) (Authentication, access control, and authorization)
We propose to adopt a 2015 Edition
‘‘authentication, access control, and
authorization’’ certification criterion
that is unchanged in comparison to the
2014 Edition ‘‘authentication, access
control, and authorization’’ criterion
(§ 170.314(d)(1)).
• Auditable Events and TamperResistance
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
2015 Edition Health IT Certification Criterion
§ 170.315(d)(2) (Auditable events and tamper-resistance )
We propose to adopt a 2015 Edition
‘‘auditable events and tamperresistance’’ certification criterion that is
unchanged in comparison to the 2014
Edition ‘‘auditable events and tamperresistance’’ criterion (§ 170.314(d)(2)).
We seek comment, however, on two
issues. In August 2014, the HHS Office
of Inspector General (OIG) released a
report entitled ‘‘The Office of the
National Coordinator for Health
Information Technology’s Oversight of
the Testing and Certification of
Electronic Health Records.’’ 134 In that
report, the OIG found that ONC
approved test procedures did not
134 https://oig.hhs.gov/oas/reports/region6/
61100063.pdf
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address common security issues,
including ‘‘logging emergency access or
user privilege changes.’’ The OIG
therefore recommended ‘‘. . . that ONC
work with NIST to strengthen EHR test
procedure requirements so that the
ATCBs [ONC-Authorized Testing and
Certification Bodies] can ensure that
EHR vendors incorporate common
security and privacy features into the
development of EHRs.’’ 135
The standards adopted at § 170.210(e)
and referenced by the 2014 Edition
‘‘auditable events and tamperresistance’’ and ‘‘audit report(s)’’
certification criteria require that
technology must be able to record audit
log information as specified in sections
7.2 through 7.4, 7.6 and 7.7 of the
standard adopted at 45 CFR 170.210(h).
The standard adopted at § 170.210(h) is
ASTM E2147.136 Section 7.6 of ASTM
E2147 specifies that audit log content
needs to include the ‘‘type of action’’
and references six ‘‘actions:’’ Additions,
deletions, change, queries, print, and
copy. Section 7.7 requires that the audit
log record when patient data is
accessed. So while not explicitly
referenced in section 7.6, the action of
‘‘access’’ or viewing of a patient’s
information is also required to be
recorded for certification. Moreover, we
clarify that an ‘‘emergency access’’ event
is expected to be recorded (just like any
other access) in accordance with section
7.7.
Because it does not appear that the
ASTM standard indicates recording an
event when an individual’s user
privileges are changed, we seek
comment on whether we need to
explicitly modify/add to the overall
auditing standard adopted at 170.210(e)
to require such information to be
audited or if this type of event is already
audited at the point of authentication
(e.g., when a user switches to a role with
increased privileges and authenticates
themselves to the system). We also seek
comments on any recommended
standards to be used in order to record
those additional data elements.
In a 2013 report entitled ‘‘Not All
Recommended Safeguards Have Been
Implemented in Hospital EHR
Technology (OEI–01–11–00570),’’ 137
the OIG recommended that ONC should
propose a revision to this certification
criterion to require that EHR technology
keep the audit log operational whenever
135 https://oig.hhs.gov/oas/reports/region6/
61100063.pdf
136 https://www.astm.org/Standards/E2147.htm.
The standard is also incorporated by reference at 45
CFR 170.299(c)(1) and available at the Office of the
Federal Register.
137 https://oig.hhs.gov/oei/reports/oei-01-1100570.pdf.
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the EHR technology is available for
updates or viewing or, alternatively,
CMS could update its meaningful use
criteria to require providers to keep the
audit log operational whenever EHR
technology is available for updates or
viewing.138 As a result of that report, in
the Voluntary Edition proposed rule, we
proposed an ‘‘auditable events and
tamper resistance’’ certification criterion
that would have required technology to
prevent all users from being able to
disable an audit log. While several
commenters supported the proposal, an
equal share expressed concern,
including the HITSC. The HITSC
recommended against implementing
this proposal, indicating that the
requirements of the 2014 Edition
certification criterion (identifying only a
limited set of users that could disable
the audit log and logging when and by
whom an audit log was disabled and
enabled) provided sufficient parameters
to determine the accountable party in
the event of a security incident.139 Other
commenters contended that including
an absolute prohibition would be
problematic because there are valid and
important reasons for users to disable
the audit log, including allowing a
system administrator to disable the
audit log for performance fixes, stability,
disaster recovery, and system updates or
allowing a system administrator to
disable it when there is rapid server
space loss which is hindering a provider
from accessing needed clinical
information in a timely manner.
We reiterate our policy first espoused
with the adoption of the 2014 Edition
‘‘auditable events and tamper
resistance’’ certification criterion in that
the ability to disable the audit log must
be restricted to a limited set of users to
meet this criterion. The purpose of this
certification criterion is to require
health IT to demonstrate through testing
and certification that it has certain
security capabilities built in. As we
have evaluated both OIG’s input and
that of commenters, we believe our
certification criterion is appropriately
framed within the parameters of what
our regulation can reasonably impose as
a condition of certification. This
regulation applies to health IT and not
to the people who use it. Thus, how an
individual provider or entity chooses to
ultimately implement health IT that has
been certified to this or any other
certification criterion does so outside
the scope of this regulation.
138 https://oig.hhs.gov/oei/reports/oei-01-1100570.pdf.
139 https://www.healthit.gov/FACAS/sites/faca/
files/Baker_PSWG_2015editionnprm_public_
comment_V2.pdf.
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We also received feedback to the
Voluntary Edition proposed rule that
there may be some events recorded in
the audit log that may be more critical
to record than other events. Commenters
noted that there may be a critical subset
of events that should remain enabled at
all times, while other events could be
turned off during critical times or for
system updates by a subset of users. As
noted above, the standards adopted at
§ 170.210(e) and referenced by the 2014
Edition ‘‘auditable events and tamperresistance’’ certification criterion
requires that health IT technology must
be able to record additions, deletions,
changes, queries, print, copy, access.
The 2014 Edition also required the log
to record when the audit log is disabled
and by whom and that such capability
must be restricted to a limited set of
identified users. As a result, we again
seek comment on whether:
• There is any alternative approach
that we could or should consider;
• There is a critical subset of those
auditable events that we should require
remain enabled at all times, and if so,
additional information regarding which
events should be considered critical and
why; and
• Any negative consequences may
arise from keeping a subset of audit log
functionality enabled at all times.
• Audit Report(s)
2015 Edition Health IT Certification Criterion
§ 170.315(d)(3) (Audit report(s))
We propose to adopt a 2015 Edition
‘‘audit reports(s)’’ certification criterion
that is unchanged in comparison to the
2014 Edition ‘‘audit reports(s)’’ criterion
(§ 170.314(d)(3)).
• Amendments
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
2015 Edition Health IT Certification Criterion
§ 170.315(d)(4) (Amendments)
We propose to adopt a 2015 Edition
‘‘amendments’’ certification criterion
that is unchanged in comparison to the
2014 Edition ‘‘amendments’’ criterion
(§ 170.314(d)(4)). We note that this
certification criterion only partially
addresses the amendment of protected
health information (PHI) requirements
of 45 CFR 164.526.
• Automatic Access Time-Out
2015 Edition Health IT Certification Criterion
§ 170.315(d)(5) (Automatic access time-out)
We propose to adopt a 2015 Edition
‘‘automatic access time-out’’
certification criterion that is unchanged
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(for the purposes of gap certification) in
comparison to the 2014 Edition
‘‘automatic log-off’’ criterion
(§ 170.314(d)(5)). The 2014 Edition
‘‘automatic log-off’’ criterion requires a
Health IT Module to ‘‘prevent a user
from gaining further access to an
electronic session after a predetermined
time of inactivity.’’ In June 2014, the
Privacy and Security Workgroup
(PSWG) of the HITSC assessed the
automatic log-off criterion.140 While the
2014 Edition criterion refers to
‘‘sessions,’’ the PSWG noted the need to
recognize that many systems are not
session-based. Instead, systems may be
stateless, clientless, and/or run on any
device. The PSWG further noted that the
risk that this criterion addresses is the
potential that protected health
information could be disclosed through
an unattended device. The HITSC
recommended that this certification
criterion should not be overly
prescriptive so as to inhibit system
architecture flexibility.
To clarify this intent and eliminate
the reference to ‘‘session,’’ the PSWG
suggested to the HITSC that this
criterion by refined to state
‘‘automatically block access to protected
health information after a
predetermined period of inactivity
through appropriate means until the
original user re-authenticates or another
authorized user authenticates.’’ We
agree in substance with the PSWG work
and HITSC recommendations.
Accordingly, we propose a 2015 Edition
‘‘automatic access time-out’’
certification criterion that reflects the
HITSC recommendations and the work
of the PSWG. Specifically, the criterion
would require a Health IT Module to
demonstrate that it can automatically
stop user access to health information
after a predetermined period of
inactivity and require user
authentication in order to resume or
regain the access that was stopped. We
note, however, that we do not believe
this would have any impact on testing
and certification as compared to testing
and certification to the 2014 Edition
‘‘automatic log-off’’ criterion (i.e., the
2015 ‘‘automatic access time-out’’
criterion would be eligible for gap
certification). We welcome comments
on this assessment.
• Emergency Access
2015 Edition Health IT Certification Criterion
§ 170.315(d)(6) (Emergency access)
140 https://www.healthit.gov/facas/sites/faca/files/
HITSC_PSWG_2015NPRM_Update_2014-06-17.pdf.
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We propose to adopt a 2015 Edition
‘‘emergency access’’ certification
criterion that is unchanged in
comparison to the 2014 Edition
‘‘emergency access’’ criterion
(§ 170.314(d)(6)).
• End-User Device Encryption
2015 Edition Health IT Certification Criterion
§ 170.315(d)(7)
(End-user
device
encryption)
We propose to adopt a 2015 Edition
‘‘end-user device encryption’’
certification criterion that is unchanged
(for the purposes of gap certification) in
comparison to the 2014 Edition ‘‘enduser device encryption’’ criterion
(§ 170.314(d)(7)). We propose to require
certification to this criterion consistent
with the most recent version of Annex
A: Approved Security Functions (Draft,
October 8, 2014) for Federal Information
Processing Standards (FIPS) Publication
140–2.141 The purpose of this document
is to provide a list of the approved
security functions applicable to FIPS
PUB 140–2. To maintain and update our
certification requirements to the most
recent NIST-approved security
functions, we propose to move to the
updated version of Annex A (Draft,
October 8, 2014). We proposed to
adopted this updated version of Annex
A at § 170.210(a)(3). We note, however,
that we do not believe that this would
have any impact on testing and
certification as compared to testing and
certification to the 2014 Edition ‘‘enduser device encryption’’ criterion (i.e.,
the 2015 ‘‘end-user device encryption’’
criterion would be eligible for gap
certification). We welcome comments
on this assessment.
• Integrity
2015 Edition Health IT Certification Criterion
§ 170.315(d)(8) (Integrity)
We propose to adopt a 2015 Edition
‘‘integrity’’ certification criterion that is
unchanged in comparison to the 2014
Edition ‘‘integrity’’ criterion
(§ 170.314(d)(8)). However, we propose
a change in how a Health IT Module
would be tested and certified to this
criterion. The 2011 and 2014 editions of
this criterion have been available for
individual testing and certification. We
propose that the 2015 Edition
‘‘integrity’’ criterion would be tested
and certified to support the context for
which it was adopted—upon receipt of
a summary record in order to ensure the
integrity of the information exchanged
141 https://csrc.nist.gov/publications/fips/fips1402/fips1402annexa.pdf.
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(see § 170.315(d)(8)(ii)). Therefore, we
expect that this certification criterion
would most frequently be paired with
the ToC certification criterion for testing
and certification.
In the 2014 Edition propose rule, we
sought comment on whether we should
leave the standard for the 2014 Edition
‘‘integrity’’ certification criterion as
SHA–1 142 or replace it with SHA–2,143
as SHA–2 is a much stronger security
requirement. In the 2014 Edition final
rule (77 FR 54251), we determined that
the SHA–1 standard should serve as a
floor and technology could be certified
to the 2014 Edition ‘‘integrity’’
certification criterion if it included
hashing algorithms with security
strengths equal to or greater than SHA–
1. We also noted that the Direct Project
specification requires that SHA–1 and
SHA–256 (one type of SHA–2 hash
algorithms) be supported, which still
remains the case today.
It is our understanding that many
companies, including Microsoft and
Google, plan to sunset (deprecate) SHA–
1 no later than January 1, 2017.144 While
the SHA–1 standard serves as the
baseline standard for certification to the
proposed 2015 Edition ‘‘integrity’’
certification criterion and health IT
could be certified to a security strength
greater than SHA–1 (e.g., SHA–2), we
seek comments on if, and when, we
should set the baseline for certification
to the 2015 Edition ‘‘integrity’’
certification criterion at SHA–2. For
example, we could adopt and move to
SHA–2 as the baseline certification
requirement with the effective date of a
subsequent file rule. This would likely
be in late 2015 (considering the start of
testing and certification), and consistent
with the current trajectory of the
industry in this area. Alternatively, we
could set an effective date within the
criterion for when the baseline for
certification would shift from SHA–1 to
SHA–2 (e.g., beginning 2017).
• Accounting of Disclosures
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
2015 Edition Health IT Certification Criterion
§ 170.315(d)(9) (Accounting of disclosures)
We propose to adopt a 2015 Edition
‘‘accounting of disclosures’’ certification
criterion that is unchanged in
comparison to the 2014 Edition
‘‘accounting of disclosures’’ criterion
(§ 170.314(d)(9)). We note that the 2015
Edition criterion is no longer designated
142 https://csrc.nist.gov/publications/fips/fips1804/fips-180-4.pdf.
143 https://csrc.nist.gov/publications/fips/fips1804/fips-180-4.pdf.
144 https://www.symantec.com/en/au/
page.jsp?id=sha2-transition.
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Clarified Introductory Text for 2015
Edition VDT Certification Criterion
In the Voluntary Edition proposed
rule, we proposed to make clarifying
changes to the introductory text at
§ 170.315(e)(1) to make it clear that this
health IT capability is patient-facing and
for patients to use. Commenters
generally supported clarifying the
introductory text of VDT. Commenters
stressed the importance of allowing
authorized representatives the ability to
perform the VDT functionality.
However, due to our approach to only
finalize a subset of modifications in the
2014 Edition Release 2 final rule, we
chose not to make that revision in the
2014 Edition Release 2 final rule.
Therefore, we again propose to revise
the introductory text to lead with
‘‘Patients (and their authorized
representatives) must be able to use
health IT to . . .’’ We also propose to
use this same phrase at the beginning of
each specific capability for VDT to
reinforce this point. We note that this
proposed requirement included in this
criterion does not override an
individual’s right to access protected
health information (PHI) in a designated
record set under 45 CFR 164.524.
of the ‘‘unstructured document’’
document-level template for
certification to this criterion.
We also propose that a Health IT
Module must demonstrate that it can
make diagnostic image reports available
to the patient in order to be certified. A
diagnostic imaging report contains a
consulting specialist’s interpretation of
image data. It is intended to convey the
interpretation to the referring (ordering)
physician, and becomes part of the
patient’s medical record. We believe it
is important to include this information
in a patient’s record to improve care.
Therefore, we propose to include
diagnostic imaging reports in the
certification criterion as something a
Health IT Module must be able to make
accessible to patients. Again, to prevent
any misinterpretation, we reiterate for
stakeholders that this proposed rule and
proposed certification criterion apply to
a Health IT Module with regard to what
must be demonstrated for the Health IT
Module to be certified and does not
govern its use.
We request comment on whether we
should require testing and certification
for the availability of additional patient
data through the view, download,
transmit, and API (discussed below)
capabilities. For example, should
patient data on encounter diagnoses,
cognitive status, functional status, or
other information also be made
available to patients (or their authorized
representatives) through these
capabilities? Additionally, similar to our
proposals for the data portability
certification criterion, we request
comment on including requirements in
this criterion to permit patients (or their
authorized representatives) to select
their health information for, as
applicable, viewing, downloading,
transmitting, or API based on a specific
date or time (e.g., on 10/24/2015), a
period of time (e.g., the last 3 years), or
all the information available.
Common Clinical Data Set, Updated C–
CDA, and Diagnostic Image Reports
We propose to include an updated
Common Clinical Data Set for the 2015
Edition that includes references to new
and updated vocabulary standards code
sets. Please also see the Common
Clinical Data Set definition proposal in
section III.B.3 of this preamble. For the
same reasons discussed in the proposed
2015 Edition ToC certification criterion,
we also propose to reference the
updated version of the C–CDA (Draft
Standard for Trial Use, Release 2.0) for
this certification criterion; and note, for
the reasons discussed under the 2015
ToC certification criterion, compliance
with Release 2.0 cannot include the use
VDT—Application Access to Common
Clinical Data Set
To complement the API capabilities
in the proposed ‘‘Application Access to
Common Clinical Data Set’’ criterion at
§ 170.315(g)(7), which are intended to
be used by health IT purchasers in the
context of providing application access
to the Common Clinical Data Set, we
also propose to require that the same
capabilities be met as part of the 2015
Edition VDT certification criterion.
While in some respects it could be
argued that repeating these capabilities
in the VDT certification criterion are
duplicative, we believe the contexts
under which the capabilities proposed
by this criterion and proposed at
‘‘optional’’ because such a designation
is no longer necessary given that we
have discontinued the Complete EHR
definition and Complete EHR
certification beginning with the 2015
Edition health IT certification criteria.
• View, Download, and Transmit to
3rd Party (VDT)
2015 Edition Health IT Certification Criterion
§ 170.315(e)(1) (View, download, and transmit to 3rd party)
We propose to adopt a 2015 Edition
‘‘VDT’’ criterion that is revised in
comparison to the 2014 Edition ‘‘VDT’’
criterion (§ 170.314(e)(1)).
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§ 170.315(g)(7) would be used and the
contexts under which certification to
this criterion would be sought are
distinct enough to warrant this
repetition (i.e., in some cases a health IT
developer may seek certification solely
to this criterion). In recognition of the
fact that some health IT developers will
choose to build a more tightly integrated
system that could rely on the same
underlying capabilities developed to
meet § 170.315(g)(7), we clarify that
health IT developers could provide the
information necessary to satisfy the
‘‘documentation’’ and ‘‘terms of use’’
requirements in § 170.315(e)(1)(iii)(D)
and (E) of this criterion and
§ 170.315(g)(7)(iv) and (v) only once so
long as the information addresses any
potential technical differences in the
application access capabilities provided
(e.g., a RESTful web service for
§ 170.315(e)(1) versus a SOAP web
service for § 170.315(g)(7)). As proposed
as part of certification in conjunction
with § 170.315(g)(7), we similarly
propose for this criterion to require
ONC–ACBs to submit a hyperlink (as
part of a product certification
submission to the CHPL) that would
allow any interested party to access the
API’s documentation and terms of use.
This hyperlink would first need to be
provided by the health IT developer to
the ONC–ACB.
Including these capabilities in the
VDT certification criterion could
address several aspects that currently
pose challenges to individuals (and
their families) accessing their health
information (e.g., multiple ‘‘portals’’).
Additionally, we have coordinated with
CMS to have the proposed meaningful
use measure for VDT revised to allow
for responses to data requests executed
by the API functionality to count in the
measure’s numerator (please see the
EHR Incentive Programs Stage 3
proposed rule published elsewhere in
this issue of the Federal Register). This
combination of technological capability
and measurement flexibility could
enhance an individual’s ability to
converge their data in the application of
their choice. Furthermore, by including
these capabilities in this criterion, we
ensure that health IT developers who
seek certification only to this criterion
but not (g)(7) because of their market
focus, will equally be required to
include an API available as part of their
technology.
We note that readers should also
review the proposed ‘‘API’’ certification
criterion in this section of the preamble
for requests for comments that may
impact the finalization of the API
proposal included in this certification
criterion. For example, we request
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public comment on what additional
requirements might be needed to ensure
the fostering of an open ecosystem
around APIs so that patients can share
their information with the tools,
applications, and platforms of their own
choosing.
Activity History Log
In the Voluntary Edition proposed
rule, we proposed to include two new
data elements for the activity history
log: transmission status and addressee.
Due to the approach we took with the
2014 Edition Release 2 final rule, we did
not finalize either proposal. However,
we received support for our proposal to
include the addressee as a data element
in the history log. Therefore, we propose
to include ‘‘addressee’’ as a new data
element in the 2015 Edition VDT
criterion related to the activity history
log. Although the 2014 Edition VDT
criterion requires that the action of
‘‘transmit’’ be recorded, we did not
specify that the intended destination be
recorded. We believe this transactional
history is important for patients to be
able to access, especially if a patient
actively transmits their health
information to a 3rd party or another
health care provider.
16849
We seek to ensure that the test reports
that are delivered by providers to
patients through the VDT capabilities
adhere to the CLIA test reporting
requirements and, therefore, propose
that a Health IT Module presented for
certification to this criterion must
demonstrate that it can provide patient
laboratory test reports that include the
information for a test report specified in
42 CFR 493.1291(c)(1) through (7); the
information related to reference
intervals or normal values as specified
in 42 CFR 493.1291(d); and the
information for corrected reports as
specified in 42 CFR 493.1291(k)(2).
Web Content Accessibility Guidelines
(WCAG)
We reaffirm for stakeholders that the
proposed 2015 Edition VDT criterion
includes the WCAG 2.0 Level A (Level
A) conformance requirements for the
‘‘view’’ capability. This is the same
requirement we include in the 2014
Edition VDT criterion. We do, however,
propose to modify the regulatory text
hierarchy at § 170.204(a) to designate
this standard at § 170.204(a)(1) instead
of § 170.204(a). This would also require
the 2014 Edition VDT certification
criterion to be revised to correctly
reference § 170.204(a)(1). We also seek
Patient Access to Laboratory Test
comment on whether we should adopt
Reports
WCAG 2.0 Level AA (Level AA)
In February 2014, CMS, the CDC, and conformance requirements for the
‘‘view’’ capability included in the 2015
the Office for Civil Rights (OCR) issued
Edition VDT criterion (instead of Level
a final rule that addressed the interplay
A).
between the CLIA rules, state laws
The most recent set of guidelines
governing direct patient access to their
(WCAG 2.0) were published in 2008 147
laboratory test reports, and the HIPAA
and are organized under 4 central
Privacy Rule.145 The final rule permits
principles with testable success criteria:
laboratories to give a patient, a patient’s
Perceivable, Operable, Understandable,
‘‘personal representative,’’ or a person
and Robust. Each guideline offers 3
designated by the patient, as applicable,
levels of conformance: A, AA, and AAA.
access to the patient’s completed test
Level A conformance corresponds to the
reports upon the patient’s or patient’s
most basic requirements for displaying
personal representative’s request.146 The
Web content. Level AA conformance
final rule also eliminated the exception
provides for a stronger level of
under the HIPAA Privacy Rule to an
accessibility by requiring conformance
individual’s right to access his or her
with Level A success criteria as well as
protected health information when it is
Level AA specific success criteria.
held by a CLIA-certified or CLIA-exempt
WCAG 2.0 Level AAA (Level AAA)
laboratory. While patients can continue
conformance comprises the highest
to get access to their laboratory test
level of accessibility within the WCAG
reports from their doctors, these changes
guidelines and includes all Level A and
give patients a new option to obtain
Level AA success criteria as well as
their test reports directly from the
success criteria unique to Level AAA.
laboratory while maintaining strong
In the 2014 Edition final rule (77 FR
protections for patients’ privacy.
54179) we considered public comment
and ultimately adopted Level A for
145 CMS is generally responsible for regulatory
accessibility, but indicated our interest
laboratory oversight under CLIA, while CDC
in raising this bar over time. As part of
provides scientific and technical advice to CMS
related to CLIA and OCR administers the Health
the Voluntary Edition proposed rule, we
Insurance Portability and Accountability Act of
again proposed that health IT be
1996 (HIPAA) Privacy Rule.
compliant with Level AA for the
146 https://www.federalregister.gov/articles/2014/
02/06/2014-02280/clia-program-and-hipaa-privacyrule-patients-access-to-test-reports.
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147 https://www.w3.org/TR/WCAG20/.
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proposed VDT certification criterion.
We received a limited and mixed
response to this proposal (79 FR 54465).
In particular, some health IT developers
opposed the increased level citing the
cost and burden to reach Level AA,
while others supported the move and
offered no concerns. In both cases,
health IT developers noted that WCAG
conformance tools are somewhat sparse
and that they have had difficulty finding
viable tools.
Level AA provides a stronger level of
accessibility and addresses areas of
importance to the disabled community
that are not included in Level A. For
example, success criteria unique to
Level AA include specifications of
minimum contrast ratios for text and
images of text, and a requirement that
text can be resized without assistive
technology up to 200 percent without
loss of content or functionality. We
recognize that Level AA is a step up
from Level A, but also note that is has
been nearly 3 years since we adopted
Level A for the purposes of certification
to the ‘‘view’’ capability. Accordingly,
we once again request comment on the
appropriateness of moving to Level AA
for certification of the ‘‘view’’ capability
included in the 2015 Edition VDT
certification criterion.
We understand that there are not
separate guidelines for ‘‘mobile
accessibility’’ and that mobile is
considered by the W3C Web
Accessibility Initiative to be covered by
the WCAG 2.0 guidelines.148 Further,
we would note that in September 2013,
the W3C published a working group
note consisting of ‘‘Guidance on
Applying WCAG 2.0 to Non-Web
Information and Communications
Technologies (WCAG2ICT).’’ 149 We
again request public comment
(especially from health IT developers
that have sought or considered
certification to the 2014 Edition VDT
certification criterion with a ‘‘non-web’’
application) on what, if any, challenges
exist or have been encountered when
applying the WCAG 2.0 standards.
‘‘Transmit’’ Request for Comment
In the 2014 Edition Release 2 final
rule, we modified the ‘‘transmit’’
portion of the 2014 Edition VDT
certification criterion to consistently
allow for C–CDA ‘‘content’’ capabilities
to be separately certified from
‘‘transport’’ capabilities using Direct. In
so doing, we modified the transmit
portion of the certification criterion to
allow it to be met in one of two ways:
(1) Following the Direct Project
specification (for HISPs); or (2)
following the Edge Protocol IG. Given
this change to ‘‘transmit’’ that we have
duplicated in the proposed 2015 Edition
VDT certification criterion and our
proposal to include an API capability as
part of the proposed 2015 Edition VDT
certification criterion, we request
comment on whether stakeholders
believe that it would be beneficial to
include the Direct Project’s
Implementation Guide for Direct Project
Trust Bundle Distribution
specification 150 as part of certification
to the first way described above
(following the Direct Project
specification (for HISPs)) for the 2015
Edition VDT certification criterion. This
trust bundle specification’s focuses on
‘‘guidance on the packaging and
distribution of Trust Bundles to
facilitate scalable trust between
Security/Trust Agents (STAs).’’ As we
understand, including this specification
as part of certification could enable
patient-facing technology to be
configured to trust externally hosted
bundles of S/MIME certificates. In
addition, we have continued to hear
concerns regarding the difficulties
related to exchanging Direct messages
across platforms and ‘‘trust
communities’’ in the context of patientdirected transmissions. Therefore, we
also request comments on whether any
additional requirements are needed to
support scalable trust between STAs as
well as ways in which ONC, in
collaboration with other industry
stakeholders, could support or help
coordinate a way to bridge any gaps.
C–CDA Creation Capability Request for
Comment
We request public comment on a
potential means to provide explicit
implementation clarity and consistency
as well as to further limit potential
burdens on health IT developers.
Specifically, should we limit the scope
of C–CDA creation capability within
this certification criterion to focus solely
on the creation of a CCD document
template based on the C–CDA Release
2.0? This approach could also have the
benefit of creating clear expectations
and predictability for other health IT
developers who would then know the
specific document template
implemented for compliance with this
criterion.
150 https://wiki.directproject.org/file/view/
148 https://www.w3.org/WAI/mobile/.
149 https://www.w3.org/TR/wcag2ict/.
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C–CDA Data Provenance Request for
Comment
We refer readers to the request for
comment under the same heading
(‘‘C–CDA Data Provenance Request for
Comment’’) in the ToC certification
criterion earlier in this section of the
preamble (section III). The request for
comment focuses on the maturity of the
HL7 IG for CDA Release 2: Data
Provenance, Release 1 (US Realm)
(DSTU) 151 and its potential use in
connection with the C–CDA.
• Clinical Summary
We note that we are not proposing a
2015 Edition ‘‘clinical summary’’
certification criterion because past
versions of this certification criterion
were adopted in direct support of the
EHR Incentive Programs. The proposals
found in the EHR Incentive Programs
Stage 3 proposed rule published
elsewhere in this issue of the Federal
Register rely on patients being provided
with the ability to view, download, and
transmit their health information via
online access. Therefore, we believe the
capabilities included in the 2015
Edition ‘‘view, download, and transmit
to 3rd party’’ certification criterion
appropriately and sufficiently support
the proposals of the EHR Incentive
Programs.
• Secure Messaging
2015 Edition Health IT Certification Criterion
§ 170.315(e)(2) (Secure messaging)
We propose to adopt a 2015 Edition
‘‘secure messaging’’ certification
criterion that is unchanged in
comparison to the 2014 Edition ‘‘secure
messaging’’ criterion (§ 170.314(e)(3)).
• Transmission to Immunization
Registries
2015 Edition Health IT Certification Criterion
§ 170.315(f)(1) (Transmission to immunization registries)
We propose to adopt a 2015 Edition
‘‘transmission to immunization
registries’’ certification criterion that is
revised in comparison to the 2014
Edition ‘‘transmission to immunization
registries’’ criterion (§ 170.314(f)(2)). We
propose to adopt an updated IG, require
National Drug Codes (NDC) for
recording administered vaccines,
require CVX codes for historical
vaccines, and require a Health IT
Module presented for certification to
151 https://wiki.hl7.org/index.php?title=HL7_Data_
Provenance_Project_Space and https://
gforge.hl7.org/gf/project/cbcc/frs/?action=Frs
ReleaseBrowse&frs_package_id=240.
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this criterion to be able to display an
immunization history and forecast from
an immunization registry. These
proposals are described in more detail
below.
Implementation Guide for Transmission
to Immunization Registries
The 2014 Edition certification
criterion for transmission to
immunization registries at
§ 170.314(f)(2) references the following
IG for immunization messaging: HL7
Version 2.5.1: Implementation Guide for
Immunization Messaging, Release 1.4.
Since the publication of the 2014
Edition final rule, the CDC has issued an
updated IG (HL7 Version 2.5.1:
Implementation Guide for
Immunization Messaging, Release 1.5)
(October 2014) that promotes greater
interoperability between immunization
registries and health IT. Release 1.5
focuses on known issues from the
previous release and revises certain HL7
message elements to reduce differences
between states and jurisdictions for
recording specific data elements.
Specifically, Release 1.5: 152
• Is organized into profiles, including
separate profiles for VXU and ACK
(acknowledgement) messages;
• Clarifies and tightens conformance
statements;
• Corrects ACK (acknowledgment)
messages to support improved
messaging back to the EHR about the
success/failure of a message; and
• Includes query and response
changes such as V2.7.1 MSH user
constraints, minimum requirements for
a response message, and corrected
profiles for response to errors and no
match situations.
We believe these improvements are
important to the IG and will continue to
support our ultimate goal for this
certification criterion—bidirectional
immunization data exchange. Given the
improvements included in the updated
IG, we propose to adopt it at
§ 170.205(e)(4) and include it in the
2015 Edition ‘‘transmission to
immunization registries’’ certification
criterion.
National Drug Codes for Administered
Vaccinations
In the Voluntary Edition proposed
rule, we solicited comment for future
editions on whether we should replace
CVX codes for representing vaccines
with NDC codes,153 and on options for
recording historical immunizations (79
FR 10908–9). NDC codes offer a number
152 https://www.cdc.gov/vaccines/programs/iis/
technical-guidance/downloads/hl7guide-1-5-201411.pdf.
153 https://www.fda.gov/drugs/
informationondrugs/ucm142438.htm.
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of benefits compared to CVX codes
because:
• They can support pharmaceutical
inventory management within
immunization registries and are built
into the provider’s workflow;
• Are built into 2D barcodes, which
have been successfully piloted for
vaccines, and can improve quality and
efficiency of data entry of information
such as vaccine lot and expiration date;
and
• Can improve patient safety with
better specificity of vaccine formulation.
NDC codes also include packaging
information as well as support linking
to the unit of use and sale, whereas CVX
codes do not provide this information as
efficiently. These data elements are
important for supporting vaccine
inventory management.
Immunization registries are tightly
linked to inventory management
functions. This is largely due to the
administration of the Vaccines for
Children (VFC) program, a federally
funded program that provides vaccines
at no cost to children who might not
otherwise be vaccinated because of
inability to pay. CDC purchases
vaccines at a discount and distributes
them to grantees, which are state health
departments and local and territorial
public health agencies. The grantees
distribute the VFC vaccines at no charge
to private providers’ offices and public
health clinics registered as VFC
providers. Because of the way this
program is administered, immunization
registries, which are maintained by
public health agencies, have been
developed to include vaccine inventory
functions that help the grantees and
providers manage their VFC vaccine
stock. Due to the coupling of inventory
functions within registries, many
systems that can transmit immunization
information to registries are also able to
support these inventory management
functions. NDC codes are used by many
immunization registries to order
vaccines and for inventory purposes.
We believe NDC codes for vaccines
may be best suited to support
immunization inventory management,
as well as for providing the benefits
stated above for 2D barcoding and
patient safety. Both the HL7 Version
2.5.1: Implementation Guide for
Immunization Messaging, Release 1.5
and the C–CDA Release 2.0 IG support
coding of immunizations using both
CVX and NDC codes. CDC also provides
a publicly available mapping of NDC
codes for vaccines to CVX codes.154
154 https://www2a.cdc.gov/vaccines/iis/
iisstandards/vaccines.asp?rpt=ndc. See also: https://
www2a.cdc.gov/vaccines/iis/iisstandards/ndc_
tableaccess.asp.
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16851
NDC codes for vaccines include a
portion that identifies the product, and
thus cannot be used to code historical
vaccinations of unknown formulation.
Historical vaccinations are self-reported
vaccinations given prior to the office
visit. Patients can report historical
vaccinations to providers without
supporting documentation, such as a
written or electronic vaccination
history, and therefore the provider does
not know the manufacturer and/or
formulation of the product. In terms of
options for recording historical
vaccinations of unspecified/unknown
formulation, we solicited comments on
two options in the Voluntary Edition
proposed rule:
• Option 1: Continue to use CVX
codes for historical vaccinations only;
• Option 2: Use the NDC syntax and
create a new value set for the product
portion of the code for vaccines of
unspecified formula (e.g., influenza
vaccine of unspecified formula) for
historical vaccinations (resulting in an
‘‘NDC-like’’ code).
The majority of commenters were
opposed to Option 2 for creating an
‘‘NDC-like’’ code. Commenters believed
it would add complexity to coding NDC
codes and be burdensome to maintain in
the long-term. We agree with
commenters and therefore believe
Option 1 is a more viable solution for
recording historical vaccinations. We
believe health IT should be able to
record historical vaccinations to provide
the most complete record possible for a
provider to use in determining which
vaccines a patient may need.
We received comments that
recommended we consider moving to
RxNorm® codes for immunizations.
However, RxNorm® does not support
inventory management nor does it
support recording historical
vaccinations. Therefore, we do not
believe RxNorm® is the best available
option for coding vaccinations at this
time.
We also received public comment
that, in certain circumstances, NDC
codes can be reused. Commenters
expressed concerned about potential
confusion for vaccine products when
NDC codes are reused. In consultation
with FDA, we understand that FDA
does not intend to allow reuse of NDC
codes for vaccine products going
forward. Thus, we do not believe that
reuse of NDC codes will be an issue for
vaccine coding.
Given the discussion above on the
benefits of NDC codes for coding
vaccinations and in consideration of
public comment, we propose to require
for certification that a Health IT Module
be able to electronically create
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immunization information for electronic
transmission to immunization registries
using NDC codes for vaccines
administered (i.e., the National Drug
Code Directory—Vaccine Codes,
updates through January 15, 2015 155).
For historical vaccines, we propose to
continue the use of CVX codes and
propose to adopt the HL7 Standard
Code Set CVX—Vaccines Administered,
updates through February 2, 2015,156 as
the baseline version for certification to
the 2015 Edition. We refer readers to
section III.A.2.d (‘‘Minimum Standards’’
Code Sets) for further discussion of our
proposal to adopt the National Drug
Code Directory—Vaccine Codes as a
minimum standards code set and the
‘‘January 15, 2015 version,’’ or
potentially a newer version if released
before a subsequent final rule, as the
baseline for certification to the 2015
Edition. We also refer readers to section
III.A.2.d (‘‘Minimum Standards’’ Code
Sets) for further discussion of our
adoption of CVX codes as a minimum
standards code set and our proposal to
adopt the ‘‘February 2, 2015 version,’’ or
potentially a newer version if released
before a subsequent final rule, as the
baseline for certification to the 2015
Edition.
In addition to soliciting comments on
this proposal, we solicit comment on
whether we should allow use of NDC
codes for administered vaccines as an
option for certification, but continue to
require CVX codes for administered
vaccines for the 2015 Edition. Allowing
for optional use of NDC codes for
administered vaccines could provide
health IT developers and health care
providers an implementation period
before we would consider requiring
NDC codes for administered vaccines.
We also solicit comment on whether we
should require CVX plus the HL7
Standard Code Set MVX—
Manufacturers of Vaccines Code Set
(October 30, 2014 version) 157 as an
alternative to NDC codes for
administered vaccines. MVX codes
identify the manufacturer of a vaccine
and support recording the vaccine at the
trade name level when paired with the
CVX code. MVX codes do not, however,
independently include the trade name,
package, or unit of use/unit of sale. CVX
codes plus MVX codes could provide
more information than CVX codes
alone, but not as much information as
NDC codes. As part of this comment
155 https://www2a.cdc.gov/vaccines/iis/
iisstandards/ndc_tableaccess.asp.
156 https://www2a.cdc.gov/vaccines/iis/
iisstandards/vaccines.asp?rpt=cvx.
157 https://www2a.cdc.gov/vaccines/iis/
iisstandards/vaccines.asp?rpt=mvx.
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solicitation, we also invite comments on
the implementation burden for health IT
developers and health care providers of
requiring CVX plus MVX codes versus
NDC codes for administered vaccines.
Immunization History and Forecast
In the Voluntary Edition proposed
rule, we solicited comment on the
maturity of bidirectional immunization
data exchange activities and whether we
should propose to include bidirectional
immunization exchange in our
certification rules. Commenters
supported inclusion of bidirectional
immunization data exchange. We
understand that the HL7 Version 2.5.1:
Implementation Guide for
Immunization Messaging, Release 1.5
we are proposing to adopt for this
criterion provides improvements that
support bidirectional exchange between
health IT and immunization registries,
including segments for querying a
registry, receiving information, and
sending a response to the registry.
Additionally, we received comments
specifically recommending that
immunization forecast information and
CDS guidance provide results in
accordance with the Advisory
Committee on Immunization Practice’s
(ACIP) 158 recommendations.
We believe that bidirectional
exchange between health IT and
immunization registries is important for
patient safety and improved care.
Immunization registries can provide
information on a patient’s immunization
history to complement the data in the
EHR. Immunization registries also
provide immunization forecasting
recommendations according to the
ACIP’s recommendations. This
information allows for the provider to
access the most complete and up-to-date
information on a patient’s immunization
history to inform discussions about
what vaccines a patient may need based
on nationally recommended
immunization recommendations.
Provided the discussion above, we
propose that, for certification to this
criterion, a Health IT Module would
need to enable a user to request, access,
and display a patient’s immunization
history and forecast from an
immunization registry in accordance
with the HL7 Version 2.5.1:
Implementation Guide for
Immunization Messaging, Release 1.5.
We welcome comment on this proposal.
We also welcome comments on whether
we should include an immunization
history information reconciliation
capability in this criterion and the
factors we should consider regarding the
158 https://www.cdc.gov/vaccines/acip/.
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reconciliation of immunization history
information.
Exchange of the Common Clinical Data
Set—NDC and CVX Codes
For transmission of immunization
information across settings using the
C–CDA standard, NDC codes carry more
information than CVX codes,
specifically for inventory management
and safety functions (e.g., trade name,
package, and unit of use/unit of sale).
For quality reporting of immunization
coverage data using the QRDA Category
I standard, inventory management data
may not be needed, and therefore a CVX
code is sufficient for submission of
quality reporting data. However, ONC is
supportive of moving towards collection
of vaccine administration data within
the EHR with the patient’s clinical data
regardless of the requirements in the
QRDA Category I standard. We believe
it is appropriate to use mapping from
NDC codes to CVX codes and a mapping
table is available.159 We understand that
the C–CDA Release 2.0 can support NDC
codes as a translational data element,
but the CVX code is required to
accompany it. The additional
information NDC codes contain could
assist with vaccine tracking for clinical
trials and adverse events. Therefore, we
propose in a later section of this rule to
include the representation of
immunizations in both CVX codes and
NDC codes as part of the ‘‘Common
Clinical Data Set’’ definition for
certification to the 2015 Edition. Please
see section III.B.3 ‘‘Common Clinical
Data Set’’ of this preamble for further
discussion of this associated proposal.
We note that this means that a Health
IT Module certified to certification
criteria that include the Common
Clinical Data Set (e.g., the ToC criterion)
must demonstrate the capability to
represent immunizations in CVX codes
and NDC codes. This approach ensures
that health IT would be able to support
a provider’s attempt to send
immunization information that includes
NDC information.
Immunization Information Certification
Criterion
In response to the Voluntary Edition
proposed rule, we received comments
recommending we discontinue the
‘‘immunization information’’
certification criterion for future editions
because the necessary data elements are
enumerated in the IG for reporting to
immunization registries required for the
159 https://www2a.cdc.gov/vaccines/iis/
iisstandards/vaccines.asp?rpt=ndc. See also: https://
www2a.cdc.gov/vaccines/iis/iisstandards/ndc_
tableaccess.asp.
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‘‘transmission to immunization
registries’’ criterion. These commenters
did not see any additional value in
having a standalone certification
criterion for ‘‘immunization
information’’ as the value lies in being
able to transmit the immunization
message. We agree with these
comments. Therefore, we are not
proposing an ‘‘immunization
information’’ criterion as part of the
2015 Edition. We welcome comments
on this approach.
• Transmission to Public Health
Agencies—Syndromic Surveillance
2015 Edition EHR Certification Criterion
§ 170.315(f)(2) (Transmission to public
health agencies—syndromic surveillance)
We propose to adopt a 2015 Edition
certification criterion for transmission of
syndromic surveillance to public health
agencies that is revised in comparison to
the 2014 Edition version
(§ 170.314(f)(3)) for the inpatient setting.
We note, however, that this proposed
certification criterion is unchanged (for
the purposes of gap certification) for the
ambulatory setting. As discussed in the
2014 Edition Release 2 final rule, we
understand that ambulatory providers
may be using different methods for
sending syndromic surveillance
information to public health agencies,
including HL7 2.5.1 and query-based
messages (79 FR 54439–54441). It is our
understanding that these methods are
still being implemented and refined
within the industry and the public
health community. Therefore, given the
varied adoption of methods for
transmitting syndromic surveillance
information to public health agencies
from ambulatory settings, we propose to
continue to distinguish between
ambulatory and emergency department,
urgent care, and inpatient settings.
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
Emergency Department, Urgent Care,
and Inpatient Settings
We propose to adopt the PHIN
Messaging Guide for Syndromic
Surveillance: Emergency Department,
Urgent, Ambulatory Care, and Inpatient
Settings, Release 2.0, September 2014
(‘‘Release 2.0’’).160 Release 2.0 provides
improvements over previous versions
by:
• Re-purposing of the HL7 2.5.1
messaging structure for all type of
messages/trigger events, and combining
all specifications in one profile;
• Re-structuring chapters, making
them more concise and placing
160 https://www.cdc.gov/phin/library/guides/
SyndrSurvMessagGuide2_MessagingGuide_
PHN.pdf
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supporting information into
Appendixes;
• Adding more implementation
comments and better field name
descriptions within segment profile
attributes;
• Making examples better aligned to
the business process;
• Adding new conformance
statements that simplify testing of
messages;
• Making more user-friendly
navigation through the document
(adding a more detailed Table of
Contents, updating a format of
implementation comments, etc.);
• Simplifying collection and
management of data by addressing
requests for only using a text format for
the ‘‘Chief Complaint/Reason for Visit’’
Data Element; and
• Correcting errors that were
discovered in Version 1.9.
We believe these improvements are
important to the IG and will continue to
support interoperability and data
exchange of syndromic surveillance
information. As we adopted Release 1.8
of the IG in 2012 for the 2014 Edition,
we believe the industry has had
sufficient time to implement Release 1.8
and could benefit from the updates in
Release 2.0. Release 2.0 also updates
errors and known issues from Release
1.9 that commenters noted in response
to the Voluntary Edition proposed rule
as discussed in the Voluntary Edition
final rule (79 FR 54440). Given the
improvements included in Release 2.0
of the IG, we propose to adopt it at
§ 170.205(d)(4) and include it in the
2015 Edition ‘‘transmission to public
health agencies—syndromic
surveillance’’ certification criterion for
emergency department, urgent care, and
inpatient settings.
Ambulatory Syndromic Surveillance
We propose to permit, for ambulatory
setting certification, the use of any
electronic means for sending syndromic
surveillance data to public health
agencies as well as optional certification
to certain syndromic surveillance data
elements. In the 2014 Edition Release 2
final rule, we adopted a certification
criterion for ambulatory syndromic
surveillance at § 170.314(f)(7) that
permits use of any electronic means of
sending syndromic surveillance data to
public health agencies for ambulatory
settings (79 FR 54440–01). We adopted
this criterion to provide EPs under the
EHR Incentive Programs to meet the
Stage 2 syndromic surveillance
objective with the use of CEHRT.
Because there were no IGs to support
HL7 2.5.1 messaging or query-based
syndromic surveillance for ambulatory
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settings, we expanded our policy to
provide more flexibility to EPs to meet
the syndromic surveillance objective.
As part of the 2014 Edition criterion,
we also provide the option for
technology presented for certification to
demonstrate that it can electronically
produce syndromic surveillance
information that contains patient
demographics, provider specialty,
provider address, problem list, vital
signs, laboratory results, procedures,
medications, and insurance. Public
health agencies and stakeholders that
piloted query-based models for
transmitting ambulatory syndromic
surveillance data send all of these data
elements. We offered this optional list of
data elements for certification to
provide clarity and a path forward to
health IT developers on the data
elements they should focus on for
creating syndrome-based public health
transmissions in support of query-based
models, including any potential
certification requirements introduced
through future rulemaking. Due to the
continued lack of mature IGs at this
time, we propose to take the same
approach for 2015 Edition syndromic
surveillance certification for the
ambulatory setting.
• Transmission to Public Health
Agencies—Reportable Laboratory Tests
and Values/Results
2015 Edition Health IT Certification Criterion
§ 170.315(f)(3) (Transmission to public
health agencies—reportable laboratory
tests and values/results)
We propose to adopt a 2015 Edition
certification criterion that is revised in
comparison to the 2014 Edition
‘‘transmission of reportable laboratory
tests and values/results’’ criterion
(§ 170.314(f)(4)). We have named this
criterion ‘‘transmission to public health
agencies—reportable laboratory tests
and values/results’’ to clearly convey
the capabilities included in this
criterion as they relate to the intended
recipient of the data. We propose to
include and adopt an updated IG for
laboratory reporting to public health, an
updated version of SNOMED CT®, and
an updated version of LOINC®. We also
propose to make a technical amendment
to the regulation text for the 2014
Edition criterion in order to have it
continue to reference the appropriate
standard and implementation
specifications 161 after we restructure
161 HL7 2.5.1 and HL7 Version 2.5.1:
Implementation Guide: Electronic Laboratory
Reporting to Public Health, Release 1 with Errata
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the regulatory text hierarchy at
§ 170.205(g) to accommodate our 2015
Edition proposal.
CDC worked in conjunction with the
HL7 Public Health Emergency Response
Workgroup to develop an updated IG
(HL7 Version 2.5.1 Implementation
Guide: Electronic Laboratory Reporting
to Public Health, Release 2 (US Realm),
DSTU R1.1, 2014 or ‘‘Release 2, DSTU
R1.1’’) that address technical corrections
and clarifications for interoperability
with laboratory orders and other
laboratory domain implementation
guides. Specifically, ‘‘Release 2, DSTU
R1.1’’: 162
• Corrects errata;
• Updates Objective Identifiers;
• Applies conformance statements
from the LRI DSTU;
• Provides technical corrections; and
• Updates usage for consistent
treatment of modifier fields.
As we adopted Release 1 of the IG in
2012 for the 2014 Edition, we believe
the industry has had sufficient time to
implement Release 1 and could benefit
from the updates in ‘‘Release 2, DSTU
R1.1.’’ Given the improvements
included in the updated IG (Release 2,
DSTU R1.1), we propose to adopt it at
§ 170.205(g)(2) and include it in the
2015 Edition ‘‘transmission of
reportable laboratory tests and values/
results’’ certification criterion at
§ 170.315(f)(3). As noted above, to
properly codify this proposal in
regulation, we would have to modify the
regulatory text hierarchy in § 170.205(g)
to designate the standard and
implementation specifications
referenced by the 2014 Edition
‘‘transmission of reportable laboratory
tests and values/results’’ certification
criterion at § 170.205(g)(1) instead of its
current designation at § 170.205(g).
We propose to include the September
2014 Release of the U.S. Edition of
SNOMED CT® and LOINC® version 2.50
in this criterion. We refer readers to
section III.A.2.d (‘‘Minimum Standards’’
Code Sets) for further discussion of our
adoption of SNOMED CT® and LOINC®
as minimum standards code sets and
our proposals to adopt the versions
cited above, or potentially newer
versions if released before a subsequent
final rule, as the baselines for
certification to the 2015 Edition.
• Transmission to Cancer Registries
2015 Edition Health IT Certification Criterion
and Clarifications and ELR 2.5.1 Clarification
Document for EHR Technology Certification.
162 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=329.
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§ 170.315(f)(4) (Transmission to cancer registries)
We propose to adopt a 2015 Edition
‘‘transmission to cancer registries’’
certification criterion that is revised in
comparison to the 2014 Edition
‘‘transmission to cancer registries’’
certification criterion (§ 170.314(f)(6)).
We propose to adopt an HL7 version
cancer reporting IG, adopt an updated
version of SNOMED CT®, and adopt an
updated version of LOINC®. We also
propose to make a technical amendment
to the regulation text for the 2014
Edition certification criterion so that it
continues to reference the appropriate
standard 163 in the regulatory text
hierarchy at § 170.205(i), while
accommodating our 2015 Edition
proposal. Specifically, we propose to
modify the 2014 Edition certification
criterion to reference § 170.205(i)(1) to
establish the regulatory text hierarchy
necessary to accommodate the standard
and IG referenced by the proposed 2015
Edition certification criterion.
The 2014 Edition ‘‘transmission to
cancer registries’’ criterion at
§ 170.314(f)(6) references the following
IG for cancer reporting: Implementation
Guide for Ambulatory Healthcare
Provider Reporting to Central Cancer
Registries, HL7 Clinical Document
Architecture (CDA), Release 1.0. Since
the publication of the 2014 Edition
Final Rule, CDC worked with HL7 to
introduce the IG to the standards
developing organization processes. In
doing so, an updated IG has been
developed to address technical
corrections and clarifications for
interoperability with EHRs and cancer
registries (HL7 Implementation Guide
for CDA© Release 2: Reporting to Public
Health Cancer Registries from
Ambulatory Healthcare Providers
Release 1 or ‘‘HL7 IG Release 1’’).
Specifically, HL7 IG Release 1: 164
• Aligns with C–CDA Release 2.0
templates, where possible;
• Adds new data elements, including
grade, pathologic TNM stage,165 family
history of illness, height and weight,
discrete radiation oncology items,
163 Standard. HL7 Clinical Document
Architecture (CDA), Release 2.0, Normative Edition
(incorporated by reference in § 170.299).
Implementation specifications. Implementation
Guide for Ambulatory Healthcare Provider
Reporting to Central Cancer Registries, HL7 Clinical
Document Architecture (CDA), Release 1.0
(incorporated by reference in § 170.299).
164 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=383.
165 The TNM Classification of Malignant Tumours
(TNM) is a cancer staging system that describes the
extent of a person’s cancer.
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planned medications, and planned
procedures;
• Changes optionality for some data
elements in response to cancer
community input and to align with C–
CDA Release 2.0 templates;
• Improves documentation and aligns
conformance statements with table
constraints;
• Adds some new vocabulary links
and a new reportability list for ICD–10–
CM;
• Fixes some within-document
references;
• Fixes some LOINC® codes;
• Fixes some Code System and Value
Set Object Identifiers;
• Fixes some conformance verbs;
• Improves sample XML snippets;
• Fixes some conformance verbs and
data element names in Appendix B
‘‘Ambulatory Healthcare Provider
Cancer Event Report—Data Elements’’;
and
• Fixes a value in the value set.
These improvements will continue to
promote interoperability between health
IT and cancer registries for improved
cancer case reporting to public health
agencies. As we adopted the non-HL7
Release 1 of the IG in 2012 for the 2014
Edition, we believe the industry has had
sufficient time to implement that IG and
could benefit from the updates in HL7
IG Release 1. Therefore, given the
improvements that will be included in
HL7 IG Release 1 as described above, we
propose to adopt it at § 170.205(i)(2) and
include it in the proposed 2015 Edition
‘‘transmission to cancer registries’’
certification criterion.
We propose to include the September
2014 Release of the U.S. Edition of
SNOMED CT® and LOINC® version 2.50
in this criterion. We refer readers to
section III.A.2.d (‘‘Minimum Standards’’
Code Sets) for further discussion of our
adoption of SNOMED CT® and LOINC®
as minimum standards code sets and
our proposals to adopt the versions
cited above, or potentially newer
versions if released before a subsequent
final rule, as the baselines for
certification to the 2015 Edition.
Cancer Case Information
In response to the Voluntary Edition
proposed rule, we received comments
recommending we discontinue
proposing and adopting a ‘‘cancer case
information’’ certification criterion for
future editions because the necessary
data elements are enumerated in the IG
for reporting to cancer registries that we
include in editions of ‘‘transmission to
cancer registries’’ criteria. We agree with
this assessment. Therefore, we are not
proposing a 2015 Edition ‘‘cancer case
information’’ certification criterion
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We propose to adopt a new
certification criterion in the 2015
Edition for electronic transmission of
case reporting information to public
health agencies.
Health IT standards continue to
evolve to address new and emerging use
cases for health care. The utility of
health IT for supplemental purposes has
been limited due to a lack of uniformity
in the terminology and definitions of
data elements across health IT systems.
This limitation is compounded by the
fact that provider workflow often
records patient information in
unstructured free-text well after
episodes of care. Linking data in EHR
systems with other data in a uniform
and structured way could accelerate
quality and safety improvement,
population health, and research.
Toward this end, the S&I Structured
Data Capture 166 (SDC) initiative is a
multi-stakeholder group working on
standards-based architecture so that a
set of structured data can be accessed
from health IT and stored for merger
with comparable data for other relevant
purposes. The SDC initiative is
developing a set of standards that will
enable health IT to capture and store
structured data. These standards will
build upon and incorporate existing
standards, including the IHE Retrieve
Form for Data Capture (RFD) profile. As
part of this work, the SDC initiative has
developed a surveillance case report
form for public health reporting of
notifiable diseases as part of the IHE
Quality, Research, and Public Health
Technical Framework Supplement,
Structured Data Capture, Trial
Implementation (September 5, 2014)
standard.167 The case report form can be
further specified and used to
electronically report vital statistics,
vaccine adverse event reporting, school/
camp/daycare physical, early hearing
detection and intervention/newborn
hearing screening, and cancer registry
reporting, among other public health
reporting data.
We believe that case reporting from
health care providers to public health
agencies could be more real-time,
structured, and efficient through the use
of the standard case report form that the
SDC initiative has developed. Therefore,
we propose to adopt a certification
criterion for electronic transmission of
case reporting information to public
health that would require a Health IT
Module to be able to electronically
create case reporting information for
electronic transmission in accordance
with the IHE Quality, Research, and
Public Health Technical Framework
Supplement, Structured Data Capture,
Trial Implementation (September 5,
2014) standard, which we propose to
adopt at § 170.205(q)(1). As mentioned
above, this standard and our proposal
include compliance with other existing
standards. One such standard is the
CDA Release 2.0, which is a
foundational standard for use in sending
and receiving case reporting
information.
To note, for testing to this criterion, a
Health IT Module would need to
demonstrate that it can create and send
a constrained transition of care
document to a public health agency,
accept a URL in return, be able to direct
end users to the URL, and adhere to the
security requirements for the
transmission of this information.
We recognize that the Fast Health
Interoperability Resource (FHIR®) REST
API and FHIR-based standard
specifications will likely play a role in
an interoperable health IT architecture.
FHIR resources that implement SDC
concepts and support the use of case
reporting to public health would likely
play a role in that scenario. The current
HL7 FHIR Implementation Guide:
Structure Data Capture (SDC), Release
1 168 is a ‘‘draft for comment’’ with a
DSTU ballot planned for mid-2015.
Given this trajectory, we solicit
comment on whether we should
consider adopting the HL7 FHIR
Implementation Guide: SDC DSTU that
will be balloted in mid-2015 in place of,
or together with, the IHE Quality,
Research, and Public Health Technical
Framework Supplement. We are aware
of a proposed HL7 working group
known as the Healthcare Standards
Integration Workgroup that will
collaborate on FHIR resources
considered co-owned with the IHE–HL7
Joint Workgroup 169 within IHE. The
implementation guides created from the
S&I SDC Initiative is part of this joint
workgroup’s area of responsibility.
Therefore, we intend to work with these
166 https://wiki.siframework.org/
Structured+Data+Capture+Initiative.
167 https://www.ihe.net/uploadedFiles/Documents/
QRPH/IHE_QRPH_Suppl_SDC.pdf.
168 https://hl7.org/implement/standards/FHIRDevelop/sdc.html.
169 https://wiki.ihe.net/index.php?title=IHE-HL7_
Joint_Workgroup.
similar to the one we adopted for the
2014 Edition. We welcome comments
on this approach.
• Transmission to Public Health
Agencies—Case Reporting
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§ 170.315(f)(5) (Transmission to public
health agencies—case reporting)
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coordinated efforts to ensure a
complementary and coordinated
approach for case reporting using SDC.
• Transmission to Public Health
Agencies—Antimicrobial Use and
Resistance Reporting
2015 Edition Health IT Certification Criterion
§ 170.315(f)(6) (Transmission to public
health agencies—antimicrobial use and
resistance reporting)
We propose to adopt a new 2015
Edition certification criterion for
transmission of antimicrobial use and
resistance data to public health agencies
that would require a Health IT Module
to be able to electronically create
antimicrobial use and resistance
reporting information for electronic
transmission in accordance with
specific sections of the HL7
Implementation Guide for CDA ®
Release 2—Level 3: Healthcare
Associated Infection Reports, Release 1,
U.S. Realm (August 2013).
Collection and analysis of data on
antimicrobial use and antimicrobial
resistance are important components of
antimicrobial stewardship programs
throughout the nation and efforts by
health care organizations and public
health agencies aimed at detecting,
preventing, and responding to resistant
pathogens. Surveillance provides vital
data for use by health care facilities,
local, state, and federal agencies,
research and development teams,
policymakers, and the public. Electronic
submission of antimicrobial use and
antimicrobial resistance data to a public
health registry can promote timely,
accurate, and complete reporting,
particularly if data is extracted from
health IT systems and delivered using
well established data exchange
standards to a public health registry.
The HL7 Implementation Guide for
CDA ® Release 2—Level 3: Healthcare
Associated Infection Reports, Release
1—US Realm—August 2013 170 (‘‘HAI
IG’’) is an ANSI-approved standard for
electronic reporting of antimicrobial use
and antimicrobial resistance data to the
CDC’s National Healthcare Safety
Network (NHSN), the largest health
care-associated infection (HAI) reporting
system in the United States with over
9,000 health care facilities participating.
The HAI IG provides details for
reporting from EPs, eligible hospitals,
and CAHs.
We propose to test and certify a
Health IT Module for conformance with
the following sections of the IG:
170 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=20.
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• HAI Antimicrobial Use and
Resistance (AUR) Antimicrobial
Resistance Option (ARO) Report
(Numerator) specific document template
in Section 2.1.2.1 (pages 69–72);
• Antimicrobial Resistance Option
(ARO) Summary Report (Denominator)
specific document template in Section
2.1.1.1 (pages 54–56); and
• Antimicrobial Use (AUP) Summary
Report (Numerator and Denominator)
specific document template in Section
2.1.1.2 (pages 56–58).
We propose to adopt these specific
sections of the IG in § 170.205(r)(1).
Note that the specific document
templates referenced above include
conformance to named constraints in
other parts of the IG, and we would
expect a Health IT Module presented for
certification to this criterion to conform
to all named constraints within the
specified document template.
• Transmission to Public Health
Agencies—Health Care Surveys
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2015 Edition Health IT Certification Criterion
§ 170.315(f)(7) (Transmission to public
health agencies—health care surveys)
We propose to adopt a new 2015
Edition certification criterion for
transmission of health care surveys to
public health agencies. We propose to
adopt a certification criterion for
transmission of health care survey
information to public health agencies
that would require a Health IT Module
to be able to create health care survey
information for electronic transmission
in accordance with the HL7
Implementation Guide for CDA ®
Release 2: National Health Care Surveys
(NHCS), Release 1—US Realm, Draft
Standard for Trial Use (December
2014),171 which we propose to adopt at
§ 170.205(s)(1).
The National Ambulatory Medical
Care Survey (NAMCS) is a national
survey designed to meet the need for
objective, reliable information about the
provision and use of ambulatory
medical care services in the U.S.
Findings are based on a sample of visits
to non-federal employed office-based
physicians who are primarily engaged
in direct patient care.
The National Hospital Ambulatory
Medical Care Survey (NHAMCS) is
designed to collect data on the
utilization and provision of ambulatory
care services in hospital emergency and
outpatient departments. Findings are
based on a national sample of visits to
the emergency departments and
171 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=385.
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outpatient departments of general and
short-stay hospitals.
The kinds of data contained in this
survey are:
• Patient demographics such as date
of birth, sex, race and ethnicity;
• Vital signs such as height, weight
and blood pressure;
• Reason for visit or chief complaint;
• Diagnoses associated with the visit;
• Chronic conditions that the patient
has at the time of the visit;
• Procedures provided or ordered;
• Diagnostic tests ordered or
provided;
• New or continued medications at
the time of the visit; and
• Other variables such as tobacco use,
whether the provider is the patient’s
primary care provider, how many times
has the patient been seen in the practice
in the past 12 months, which type of
providers were seen at the visit, amount
of time spent with the provider, and
visit disposition.
Automating the survey process using
the CDA standard streamlines the
collection of data and increases the
sample pool by allowing all providers
who want to participate in the surveys
to do so. The HL7 Implementation
Guide for CDA ® Release 2: National
Health Care Surveys (NHCS), Release
1—US Realm, Draft Standard for Trial
Use (December 2014) defines the
electronic submission of the data to the
CDC. We clarify that the IG is intended
for the transmission of survey data for
both the NAMCS (e.g., for ambulatory
medical care settings) and NHAMCS
(e.g., for hospital ambulatory settings
including emergency departments and
outpatient departments). Templates
included in this IG align with the C–
CDA standard. Additionally, the
templates in this IG expand on the
scope of the original NAMCS and
NHAMCS survey data elements and do
not constrain the data collected to the
narrow lists on the survey instruments;
rather they allow any service, procedure
or diagnosis that has been recorded.
• Automated Numerator Recording
2015 Edition Health IT Certification Criterion
§ 170.315(g)(1) (Automated numerator recording)
We propose to adopt a 2015 Edition
‘‘automated numerator recording’’
certification criterion that is unchanged
in comparison to the 2014 Edition
‘‘automated numerator recording’’
criterion. We note, however, that the
test procedure for this criterion would
be different from the 2014 Edition
‘‘automated numerator recording’’
certification criterion in order to remain
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consistent with the applicable objectives
and measures required under the EHR
Incentive Programs.
• Automated Measure Calculation
2015 Edition Health IT Certification Criterion
§ 170.315(g)(2) (Automated measure calculation)
We propose to adopt a 2015 Edition
‘‘automated measure calculation’’
certification criterion that is unchanged
in comparison to the 2014 Edition
‘‘automated measure calculation’’
criterion. We propose to apply the
guidance provided for the 2014 Edition
‘‘automated measure calculation’’
certification criterion in the 2014
Edition final rule in that a Health IT
Module must be able to support all
CMS-acceptable approaches for
measuring a numerator and
denominator in order for the Health IT
Module to meet the proposed 2015
Edition ‘‘automated measure
calculation’’ certification criterion.172
We also propose that the interpretation
of the 2014 Edition ‘‘automated measure
calculation’’ certification criterion in
FAQ 32 173 would apply to the proposed
2015 Edition ‘‘automated measure
calculation’’ certification criterion.
We note that the test procedure for
this criterion would be different from
the 2014 Edition ‘‘automated measure
calculation’’ certification criterion in
order to remain consistent with the
applicable objectives and measures
required under the EHR Incentive
Programs.
• Safety-Enhanced Design
2015 Edition Health IT Certification Criterion
§ 170.315(g)(3) (Safety-enhanced design)
We propose to adopt a 2015 Edition
‘‘safety-enhanced design’’ (SED)
certification criterion that is revised in
comparison to the 2014 Edition ‘‘safetyenhanced design’’ criterion. We propose
to add certification criteria to this
criterion that we believe include
capabilities that pose a risk for patient
harm and, therefore, an opportunity for
error prevention. We propose to provide
further compliance clarity for the data
elements described in NISTIR 7742 174
that are required to be submitted as part
of the summative usability test results
and to specifically include these data
172 77
FR 54244–54245.
173 https://www.healthit.gov/policy-researchers-
implementers/32-question-11-12-032.
174 https://www.nist.gov/manuscript-publicationsearch.cfm?pub_id=907312. NISTIT 7742 is a valid
and reliable publication for user-centered design
processes.
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elements as part of the certification
criterion.
Certification Criteria Identified in the
SED Criterion for UCD Processes
We propose to include seventeen (17)
certification criteria (seven are new) in
the 2015 Edition SED certification
criterion, as listed below (emphasis
added for new criteria). For each of the
referenced certification criteria and their
corresponding capabilities presented for
certification, user-centered design
(UCD) processes must have been
applied in order satisfy this certification
criterion.
• § 170.315(a)(1) Computerized
provider order entry—medications
• § 170.315(a)(2) Computerized
provider order entry—laboratory
• § 170.315(a)(3) Computerized
provider order entry—diagnostic
imaging
• § 170.315(a)(4) Drug-drug, drugallergy interaction checks
• § 170.315(a)(5) Demographics
• § 170.315(a)(6) Vital signs, BMI, and
growth charts
• § 170.315(a)(7) Problem list
• § 170.315(a)(8) Medication list
• § 170.315(a)(9) Medication allergy
list
• § 170.315(a)(10) Clinical decision
support
• § 170.315(a)(18) Electronic
medication administration record
• § 170.315(a)(20) Implantable device
list
• § 170.315(a)(22) Decision support—
knowledge artifact
• § 170.315(a)(23) Decision support—
service
• § 170.315(b)(2) Clinical information
reconciliation and incorporation
• § 170.315(b)(3) Electronic
prescribing
• § 170.315(b)(4) Incorporate
laboratory tests/results
The continued submission of
summative usability test results
promotes transparency and can foster
health IT developer competition, spur
innovation, and enhance patient safety.
With this in mind, we also seek
comment on whether there are other
certification criteria that we omitted
from this proposed SED criterion that
commenters believe should be included.
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NISTIR 7742 Submission Requirements
In the 2014 Edition final rule, we
specified that the information listed
below from the NISTIR 7742
‘‘Customized Common Industry Format
Template for Electronic Health Record
Usability Testing’’ (NIST 7742) 175 was
175 https://www.nist.gov/manuscript-publicationsearch.cfm?pub_id=907312.
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required to be submitted for each and
every one of the criteria specified in the
2014 Edition SED criterion (77 FR
54188). For the 2015 Edition SED
criterion, we propose to include the
information below in the regulation text
of the 2015 Edition SED criterion to
provide more clarity and specificity for
the information requested to be
provided to demonstrate compliance
with this certification criterion. The
findings that would be required to be
submitted for each and every one of the
criteria specified in the 2015 Edition
SED criterion (and become part of the
test results publicly available on the
Certified Health IT Product List (CHPL))
are:
• Name and version of the product
• Date and location of the test
• Test environment
• Description of the intended users
• Total number of participants
• Description of participants as
follows:
D Sex
D Age
D Education
D Occupation/role
D Professional experience
D Computer experience
D Product experience
• Description of the user tasks that
were tested and association of each task
to corresponding certification criteria
• List of the specific metrics captured
during the testing
D Task Success (%)
D Task Failures (%)
D Task Standard Deviations (%)
D Task Performance Time
D User Satisfaction Rating (Scale with
1 as very difficult and 5 as very easy)
• Test results for each task using
metrics listed above
• Results and data analysis narrative:
D Major test finding
D Effectiveness
D Efficiency
DSatisfaction
DAreas for improvement
There are illustrative tables on pages
11 and 20 in NISTIR 7742 that provide
examples of the presentation of test
participants and test results data. We
specify that all of the data elements and
sections specified above must be
completed, including ‘‘major findings’’
and ‘‘areas for improvement.’’ Pages 18
and 19 of the NISTIR 7742 contain a
table with suggested instructions for
data scoring specifically noting that for
task success, a task is counted as
successful if the participant was able to
achieve the correct outcome without
assistance and within the time allotted
on a per task basis. Likewise, for task
satisfaction a 5 point Likert scale is
recommended with scores ranging from
‘‘1—very difficult’’ to ‘‘5—very easy.’’
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The NISTIR 7742 includes several
sections: Executive Summary,
Introduction, Method, and Results. In
each of these sections, there are required
data elements—and some of these
elements call for the reporting of the
number of study participants, their level
of experience with EHR technology and
other pertinent details.
We recommend following NISTIR
7804 176 ‘‘Technical Evaluation, Testing,
and Validation of the Usability of
Electronic Health Records’’ for human
factors validation testing of the final
product to be certified. In accordance
with this guidance, we recommend a
minimum of 15 representative test
participants for each category of
anticipated clinical end users who
conduct critical tasks where the user
interface design could impact patient
safety (e.g., physicians, nurse
practitioners, physician assistants,
nurses, etc.). The cohort of users who
are selected as participants will vary
with the product and its intended users;
however, the cohort should not include
employees of the developer company.
We specify the submission of
demographic characteristics of the test
participants comparable to the table on
page 11 of NISTIR 7742 because it is
important that the test participant
characteristics reflect the audience of
current and future users. In accordance
with NISTIR 7804 (page 8), we
recommend that the test scenarios be
based upon an analysis of critical use
risks for patient safety which can be
mitigated or eliminated by
improvements to the user interface
design.
In lieu of simply providing guidance
on the number of, and user cohort for,
test participants, we request comment
on whether we should establish a
minimum number(s) and user cohort(s)
for test participants for the purposes of
testing and certification to the 2015
Edition under the ONC Health IT
Certification Program.
New Requirements and Compliance
Guidance
As we noted in the 2014 Edition final
rule (77 FR 54188), examples of
method(s) that could be employed for
UCD include ISO 9241–11, ISO 13407,
ISO 16982, ISO/IEC 62366, ISO 9241–
210 and NISTIR 7741. The UCD process
selected by a health IT developer need
not be listed in the examples provided
in order to be acceptable. We do,
however, strongly advise health IT
developers to select an industry
standard process because compliance
176 https://www.nist.gov/customcf/get_
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with this certification criterion requires
submission of the name, description,
and citation (URL and/or publication
citation) of the process that was
selected. In the event that a health IT
developer selects a UCD process that is
not an industry standard (that is, not
developed by a voluntary consensus
standards organization), but is based on
one or more industry standard
processes, the developer may name the
process(es) and provide an outline of
the process in addition to a short
description as well as an explanation of
the reason(s) why use of any of the
existing UCD standards was impractical.
Health IT developers can perform
many iterations of the usability testing,
but the submission that is ultimately
provided for summative usability testing
and certification must be an expression
of a final iteration. In addition, we
expect the test scenarios used to be
submitted as part of the test results.
Last, we note that we do not expect
developers to include trade secrets or
proprietary information in the test
results.
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Request for Comment on Summative
Testing
We understand that some health IT
developers are concerned that the
summative testing report may not
adequately reflect the design research
that has been performed throughout a
product’s lifecycle. We request public
comment regarding options that we
might consider in addition to—or as
alternatives to—summative testing. For
example, if formative testing reflects a
thorough process that has tested and
improved the usability of a product,
could a standardized report of the
formative testing be submitted for one or
more of the 17 certification criteria for
which summative testing is now
required? What would be the
requirements for this formative testing
report, and how would purchasers
evaluate these reports?
Retesting and Certification
We believe that ONC–ACB
determinations related to the ongoing
applicability of the SED certification
criterion to certified health IT for the
purposes of inherited certified status
(§ 170.550(h)), adaptations and other
updates would be based on the extent of
changes to user-interface aspects of one
or more capabilities to which UCD had
previously been applied. We believe
that ONC–ACBs should be notified
when applicable changes to userinterface aspects occur. Therefore, we
include these types of changes in our
proposal to address adaptations and
updates under the ONC–ACB Principles
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of Proper Conduct (§ 170.523). Please
see section IV.D.6 of this preamble for
further discussion of this proposal.
• Quality Management System
2015 Edition Health IT Certification Criterion
§ 170.315(g)(4) (Quality management system)
We propose to adopt a 2015 Edition
‘‘quality management system’’
certification criterion that is revised in
comparison to the 2014 Edition ‘‘quality
management system’’ criterion. We
propose to require, for a Health IT
Module presented for certification, the
identification of the Quality
Management System (QMS) used in the
development, testing, implementation,
and maintenance of capabilities
certified under the ONC Health IT
Certification Program. The identified
QMS must be:
• Compliant with a quality
management system established by the
federal government or a standards
developing organization; or
• mapped to one or more quality
management systems established by the
federal government or standards
developing organization(s).
In the 2014 Edition final rule, we
stated that the 2014 Edition QMS
criterion was a first step that could be
built on in an incremental fashion (77
FR 54191). For the 2015 Edition QMS
criterion, we are taking that next step by
not permitting health IT to be certified
that has not been subject to a QMS and
also requiring health IT developers to
either use a recognized QMS or
illustrate how the QMS they used maps
to one or more QMS established by the
federal government or a standards
developing organization(s) (SDOs). As
identified in the 2014 Edition final rule
(77 FR 54190), QMS established by the
federal government and SDOs include
FDA’s quality system regulation in 21
CFR part 820, ISO 9001, ISO 14971, ISO
13485, and IEC 62304. We encourage
health IT developers to choose an
established QMS, but developers are not
required to do so, and may use either a
modified version of an established
QMS, or an entirely ‘‘home grown’’
QMS. In cases where a health IT
developer does not use a QMS
established by the federal government or
an SDO, the health IT developers must
illustrate how their QMS maps to one or
more QMS established by the federal
government or SDO through
documentation and explanation that
links the components of their QMS to an
established QMS and identifies any gaps
in their QMS as compared to an
established QMS. We clarify that we
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have no expectation that there will be
detailed documentation of historical
QMS or their absence. The
documentation of the current status of
QMS in a health IT development
organization would be sufficient.
We propose that all Health IT
Modules certified to the 2015 Edition
would need to be certified to the 2015
Edition QMS criterion. As such, we
propose to revise § 170.550 to require
ONC–ACBs follow this proposed
approach (please see section IV.C.2 of
this preamble for this proposal).
• Accessibility Technology
Compatibility
2015 Edition Health IT Certification Criterion
§ 170.315(g)(5) (Accessibility technology
compatibility)
We propose to adopt a new 2015
Edition ‘‘accessibility technology
compatibility’’ certification criterion
that would offer health IT developers
that present a Health IT Module for
certification to one or more certification
criteria listed in proposed § 170.315(a),
(b), or (e) the opportunity to have their
health IT demonstrate compatibility
with at least one accessibility
technology for the user-facing
capabilities included in the referenced
criteria.
In response to the Voluntary Edition
proposed rule, we received several
comments from health IT users with
visual impairments or disabilities.
These commenters raised concerns
about the lack of accessibility in many
health IT products certified under the
ONC Health IT Certification Program.
Commenters suggested a number of
ways in which the certification program
could be leveraged to ensure that health
IT is accessible to visually impaired and
disabled individuals. In particular,
many commenters strongly
recommended that we require as a
condition of certification that health IT
be compatible with popular text-tospeech (or ‘‘screen reader’’) applications
and other accessibility technologies.
Joined by our colleagues in the
Administration for Community Living
and Aging Policy and the Office for
Civil Rights, we believe that health IT
should be accessible to users regardless
of their visual impairments or
disabilities. The lack of accessibility
features in health IT, including the lack
of compatibility with third-party
accessibility technologies, can place a
significant burden on health IT users
who are visually impaired or disabled.
Without these features, some health IT
users may be unable to access the health
IT capabilities they and their patients
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need. Other health IT users may be
forced to rely on human intermediaries,
revert to paper-based processes, or
employ other workarounds in order to
perform basic clinical tasks and
essential aspects of their jobs. Such
limitations and workarounds not only
impact the autonomy, productivity, and
employment opportunities of health IT
users, but also jeopardize patient safety,
healthcare quality, and efficiency. For
example, without the use of appropriate
accessibility technology, there may be
an increased risk of transcription errors,
miscommunication between clinicians,
improperly documented patient health
information, and untimely retrieval of
patient health information. For these
reasons, we strongly encourage health
IT developers to consider the needs of
visually impaired and disabled users
when designing their products, and,
where feasible, to integrate accessibility
features directly into health IT. We also
encourage them to seek certification to
this proposed certification criterion.
We note that a number of text-tospeech applications exist and are widely
used by many visually impaired or
otherwise disabled individuals in
conjunction with a variety of personal
computer and mobile applications that
lack built-in accessibility features. Textto-speech applications may also be
combined with voice control software
and other accessibility technologies and
typically provide a scripting language
and/or set of APIs that enable thirdparty developers to leverage the
accessibility technology’s accessibility
features in their own software
applications. We have also observed
that some health IT is already
compatible with accessibility
technology, including the U.S.
Department of Veterans Affairs’
Computerized Patient Record System
(CPRS). CPRS is compatible with Job
Access With Speech (JAWS), a popular
text-to-speech application that enables a
computer to verbally describe the
controls and content of computer
applications.
Certification to this proposed criterion
would be available (not required) for
Health IT Modules presented for
certification to any of the clinical, care
coordination, and patient engagement
certification criteria specified at
§ 170.315(a), (b), and (e), respectively,
because the use of capabilities
associated with these criteria
necessarily requires that a user provide
input into, receive feedback from, or
otherwise interact with the Health IT
Module. To meet this proposed
certification criterion, for each such
‘‘user-facing’’ capability included in
certification criteria specified at
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§ 170.315(a), (b), and (e), a Health IT
Module would need to demonstrate that
the capability is compatible with at least
one accessibility technology that
provides text-to-speech functionality to
meet this criterion. Health IT developers
would not be required to license or
provide such accessibility technology to
users in order to meet the criterion. An
accessibility technology used to meet
this criterion would also not be ‘‘relied
upon’’ for purposes of § 170.523(f).
However, it would need to be identified
in the issued test report and would
ultimately be made publicly available as
part of the information ONC–ACBs are
required to report to ONC for inclusion
on the CHPL (in this case, what was
used to demonstrate compliance with
this certification criterion) so that users
would be able to identify the
accessibility technology with which the
certified Health IT Module
demonstrated its compatibility.
We note that all recipients of federal
financial assistance from HHS are
covered by the requirements of Section
504 of the Rehabilitation Act of 1973 (29
U.S.C. 794) for programs and services
receiving federal financial assistance.
We seek comment on the extent to
which certification to this criterion
would assist in complying with this and
other applicable federal (e.g., Section
508 of the Rehabilitation Act of 1973)
and state disability laws. We also seek
comment on whether certification to
this criterion as proposed would serve
as a valuable market distinction for
health IT developers and consumers
(e.g., ‘‘Health IT Module with certified
accessibility features’’).
• Consolidated CDA Creation
Performance
2015 Edition Health IT Certification Criterion
§ 170.315(g)(6) (Consolidated CDA creation
performance)
In the Voluntary Edition proposed
rule (79 FR 10899), we proposed to
adopt as part of the transitions of care
certification criterion a new
‘‘performance standard’’ at § 170.212.
This performance standard would have
required health IT to be able to receive
no less than 95% of all of the possible
variations that could be implemented
under the C–CDA. We summarized in
the 2014 Edition Release 2 final rule (79
FR 54459) that commenters voiced
concerns about the testability and
vagueness of this proposed requirement,
questioned its likelihood of success, and
noted that the 95% threshold would be
impractical, time consuming, and
expensive to implement given the wide
variation in C–CDA implementation.
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Ultimately, we did not finalize this
proposal in the 2014 Edition Release 2
final rule.
As we considered these comments
and reviewed the additional public
dialogue surrounding the variability in
the C–CDA’s implementation by
different health IT developers,177 we
concluded that a new certification
criterion, focused principally on health
IT system behavior and performance
related to C–CDA creation was
warranted. Thus, we propose to adopt a
new certification criterion at
§ 170.315(g)(6) that would rigorously
assess a product’s C–CDA creation
performance (for both C–CDA Release
1.1 and 2.0) when it is presented for a
Health IT Module certification that
includes within its scope any of the
proposed certification criteria that
require C–CDA creation (e.g.,
§ 170.315(b)(2)).
To implement this proposal, we also
propose to amend § 170.550 to add a
requirement that ONC–ACBs shall not
issue a Health IT Module certification to
a product that includes C–CDA creation
capabilities within its scope, unless the
product was also tested and satisfied the
certification criteria requirements
proposed at § 170.315(g)(6) (see also
section IV.C.2 of this preamble for
further discussion of this proposal). If
the scope of certification sought
includes multiple certification criteria
that require C–CDA creation,
§ 170.315(g)(6) need only be tested in
association with one of those
certification criteria and would not be
expected or required to be tested for
each. We base this certification
efficiency on assumption that passing
this proposed certification criterion for
one of the certification criteria that
includes C–CDA creation will cause a
health IT developer to apply these same
performance checks to all other
capabilities that include C–CDA
creation. However, we request public
comment on whether this proposed
efficiency is desirable or would have
any adverse consequences.
We propose that the C–CDA creation
performance certification criterion
would focus on and require the
following technical outcomes to be met:
1. Reference C–CDA Match: the
Health IT Module must demonstrate
that it can create a C–CDA that matches
a gold standard, called a Reference C–
CDA. Reference C–CDAs would include
the 2014 and 2015 edition data elements
coded according to the HL7 C–CDA
standards and regulatory requirements
(the scope of the data would be limited
177 D’Amore JD, et al. J Am Med Inform Assoc
2014; 21:1060-1068.
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to what is proposed for the Common
Clinical Data Set definition). As part of
the Reference C–CDA Match, health IT
developers would be provided test data
that includes the 2014 and 2015 data
elements and any context specific
coding instructions to be used by Health
IT Module to create C–CDA documents.
The C–CDA documents created by the
Health IT Module would be validated by
comparing it to a Reference C–CDA.
2. Document Template Conformance:
the Health IT Module must demonstrate
that it can create C–CDA documents for
the following C–CDA document
templates as applicable to the C–CDA
1.1 and C–CDA 2.0 standards: CCD;
Consultation Note; History and
Physical; Progress Note; Care Plan;
Transfer Summary; Referral Note; and
for the inpatient setting only, Discharge
Summary. We do not propose require as
part of this portion of the certification
criterion to require testing to the
Diagnostic Imaging Report (DIR);
Operative Note; and Procedure Note as
they would not be generally applicable
to all products.
3. Vocabulary Conformance: the
Health IT Module must demonstrate
that it can create C–CDA documents
using the vocabularies and value sets
adopted by the 2014 and 2015 edition.
For data elements which do not require
specific vocabularies and value sets in
the regulation, the Health IT Module
must use the vocabularies and value sets
as specified in the C–CDA standard.
Additionally, in response to wide
stakeholder feedback for additional
publicly available C–CDA samples, we
have coordinated with our colleagues at
NIST and understand that NVLAPAccredited Testing Laboratories would
retain the C–CDA files created under
test and contribute them to an ONCmaintained repository.
Completeness of Data in the C–CDA
Past feedback from providers has
indicated that the variability associated
with different functionalities and
workflows within health IT can
ultimately affect the completeness of the
data included in a created C–CDA.
Thus, in the same context associated
with our proposals in this criterion and
the ToC performance certification
criterion, we are considering, and
request public comment on, adding to
either of these certification criteria an
additional requirement that would
evaluate the completeness of the data
included in a C–CDA in order to ensure
that the data recorded by health IT is
equivalent to the data included in a
created C–CDA.
• Application Access to Common
Clinical Data Set
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2015 Edition Health IT Certification Criterion
§ 170.315(g)(7) (Application access to Common Clinical Data Set)
We propose to adopt a new
certification criterion as part of the
proposed 2015 Edition at § 170.315(g)(7)
that would focus on the capability of
health IT presented for certification to
respond to requests for patient data from
other applications.178 We propose that
this certification criterion would require
the demonstration of an application
programming interface (API) that
responds to data requests for any one or
more of the data referenced in the
Common Clinical Data Set definition
(proposed for adoption at § 170.102),
including requests for all of the data
referenced in the Common Clinical Data
Set.
The expanded access to a common
data set from other applications through
APIs (and other techniques) has been
referenced in numerous publications
over the past several years.179 We have
also received requests from stakeholders
to include a certification requirement
for the proposed capability. These
stakeholders indicate that such a
requirement would help promote
innovation and enhance the ease with
which health care providers could adopt
and use third party software tools along
with their core EHR technology to
improve patient care.
For the purposes of this certification
criterion, we also propose to require that
this certification criterion be part of the
set of criteria necessary to satisfy the
‘‘2015 Edition Base EHR’’ definition (see
also section III.B.1 of this preamble for
a discussion of the proposed 2015
Edition Base EHR definition). This
additional proposal, due to its linkage to
the CEHRT definition, would ensure
that all EPs, eligible hospitals, and
CAHs would need to adopt a Health IT
Module certified to this criterion in
order to have the necessary health IT to
successfully demonstrate meaningful
use under the EHR Incentive Programs.
178 We intend for the term ‘‘application’’ to
generally encompass any other type of system or
software that is not the data source responding to
the requests for data.
179 See: (1) President’s Council of Advisors on
Science and Technology (PCAST) ‘‘Realizing the
full potential of health information technology to
improve healthcare for Americans: the path forward
(December 2010)’’;
(2) JASON: A Robust Health Data Infrastructure
(April 2014);
(3) PCAST ‘‘Better health care and lower costs:
accelerating improvement through systems
engineering (May 2014); and
(4) ONC ‘‘Connecting Health and Care for the
Nation: A 10-Year Vision to Achieve an
Interoperable Health IT Infrastructure (June 2014).
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With limited exceptions, we have
broadly specified the technical
outcomes required by this certification
criterion. We have taken this approach
in order to allow for a wide array of
implementations to meet the
certification criterion. The proposed
certification criterion includes three
technical outcomes and a
documentation requirement.
(1) Security. The API needs to include
a means for the establishment of a
trusted connection with the application
that requests patient data. This would
need to include a means for the
requesting application to register with
the data source, be authorized to request
data, and log all interactions between
the application and the data source.
(2) Patient Selection. The API would
need to include a means for the
application to query for an ID or other
token of a patient’s record in order to
subsequently execute data requests for
that record.
(3) Data requests, response scope, and
return format. The API would need to
support two types of data requests and
responses: ‘‘by data category’’ and ‘‘all.’’
In both cases, while the scope required
for certification is limited to the data
specified in the Common Clinical Data
Set, additional data is permitted and
encouraged.
• For ‘‘data category’’ requests, the
API would need to respond to requests
for each of the data categories specified
in the Common Clinical Data Set
(according to the specified standards,
where applicable) and return the full set
of data for that data category. As the
return format, either XML or JSON
would need to be produced. For
example, an API function to request
‘‘medications’’ from patient 123456 that
returns all of a patient’s medications in
XML or JSON would meet certification
requirements.
• For ‘‘all’’ requests, the API would
need to respond to requests for all of the
data categories specified in the Common
Clinical Data Set at one time (according
to the specified standards, where
applicable). As the return format, the C–
CDA version 2.0 would need to be used
to produce a patient summary record
populated with the data included in the
Common Clinical Data Set. For example,
an API function to request the full
common data set ‘‘all’’ from patient
567890 would return a patient’s fully
populated summary record formatted in
accordance with the C–CDA version 2.0.
We believe the proposed approach
provides ample flexibility for health IT
developers to implement an API that
can best address their customers’ needs.
It also leverages current standards that
most health IT developers would
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capabilities do not function properly
when implemented in the field, the (at
that point) certified Health IT Module
could be subject to surveillance by its
ONC–ACB.
The HITPC called for ‘‘well-defined,
fairly applied, business and legal
frameworks for using the API.’’ 181 We
request public comment on what
additional requirements might be
needed to ensure the fostering of an
open ecosystem around APIs so that
patients can share their information
with the tools, applications, and
platforms of their own choosing. For
instance, should there be any limits
expressed on what can be included in
the terms of use? Should the terms be
required to more granularly address
security and authorization
requirements, for instance by requiring
a certain oAuth profile?
We also request public comment
regarding the feasibility of additional
API capabilities that could be made
available to certification including
secure message read/write capability,
schedule read/write capability,
ordering/e-prescribing capability, and
task list read/write capability.
already need to develop their products
to support in order to seek certification
to several other certification criteria. In
addition, we believe that this approach
supports future, innovative approaches
to be used. The intent behind this
certification criterion is to allow for, but
not require, health IT developers to
implement the Fast Health
Interoperability Resource (FHIR®) REST
API and accompanying FHIR standard
specifications.180 Therefore, if we have
not adequately specified this
certification criterion in a manner that
accomplishes this goal, we solicit public
comment on any specific revisions that
would.
This certification criterion would
require that the API be technically well
documented and include its terms of
use. It would also require that such
technical documentation and the terms
of use be submitted as part of testing for
this certification criterion and
subsequently to ONC–ACBs for review
prior to issuing a certification. The
technical documentation would need to
include, at a minimum: API syntax,
function names, required and optional
parameters and their data types, return
variables and their types/structures,
exceptions and exception handling
methods and their returns. The terms of
use would need to include information
of the API’s developer policies and
required developer agreements so that
third party developers could assess
these additional requirements before
engaging in any development against
the API. Similar to how we approached
the submission of publicly available test
results in our past rulemaking, we
propose to require ONC–ACBs to submit
a hyperlink (as part of its product
certification submission to the CHPL)
that would allow any interested party to
access the API’s documentation and
terms of use. This hyperlink would need
to be provided by the health IT
developer to the ONC–ACB.
With respect to testing for this
certification criterion, we expect that
functional testing would focus primarily
on the third capability we propose.
Meaning that for each function call
made the health IT developer would
need to demonstrate to/show an
Accredited Testing Lab the response
(i.e., output) for each of the data
category requests in JSON or XML and
for the ‘‘all’’ request, the output
according to the Consolidated CDA. For
all other aspects of the certification
criterion, we expect the testing would
include attestation, documentation, and
review. Additionally, if these
We propose to adopt a new 2015
Edition ‘‘accessibility-centered design’’
certification criterion that would apply
to all Health IT Modules certified to the
2015 Edition. This criterion would
require the identification of usercentered design standard(s) or laws for
accessibility that were applied, or
complied with, in the development of
specific capabilities included in a
180 https://www.hl7.org/implement/standards/
fhir/.
181 https://www.healthit.gov/sites/faca/files/JTF_
Transmittal%20Letter_2014-1-22-15v3.pdf.
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C–CDA Creation Capability Request for
Comment
We request public comment on a
potential means to provide explicit
implementation clarity and consistency
as well as to further limit potential
burdens on health IT developers.
Specifically, should we limit the scope
of C–CDA creation capability within
this certification criterion to focus solely
on the creation of a CCD document
template based on the C–CDA Release
2.0? This approach could also have the
benefit of creating clear expectations
and predictability for other health IT
developers who would then know the
specific document template
implemented for compliance with this
criterion.
• Accessibility-Centered Design
2015 Edition EHR Certification Criterion
§ 170.315(g)(8) (Accessibility-centered design)
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16861
Health IT Module or, alternatively, the
lack of such application or compliance.
This proposed certification criterion
would serve to increase transparency
around the application of user-centered
design standards for accessibility to
health IT and the compliance of health
IT with accessibility laws. We believe
this transparency would be beneficial
for those health care providers,
consumers, governments, and other
stakeholders that have an interest in
knowing the degree to which heath IT,
particularly certified health IT, meet
health IT accessibility standards and
laws. This transparency may also
encourage health IT developers to
pursue the application of more
accessibility standards and laws in
product development that could lead to
improved usability for health care
providers with disabilities and health
care outcomes for patients with
disabilities.
We propose to model our approach
and this criterion after the 2014 Edition
‘‘quality management system’’ criterion
(§ 170.314(g)(4) and see 77 FR 54270–
54271). Therefore, as a first step, for
each capability that a Health IT Module
includes and for which that capability’s
certification is sought, the use of a
health IT accessibility-centered design
standard or compliance with a health IT
accessibility law in the development,
testing, implementation, and
maintenance of that capability must be
identified. Working with our colleagues
at NIST, we have identified an initial
list of health IT accessibility-centered
design standards and accessibility laws
below. However, health IT developers
may choose to use other health IT
accessibility standards or laws in the
development, testing, implementation,
and maintenance of capabilities, but
must identify these standards and/or
laws for the purposes of certification. As
with the 2014 Edition ‘‘quality
management system’’ criterion, we
propose to permit a response that ‘‘no
health IT accessibility-centered design
standard or law was applied to all
applicable capabilities’’ as an acceptable
means of satisfy this proposed
certification criterion. We note,
however, that whatever method(s) is
used to meet this proposed criterion, it
would be reported to the proposed open
data CHPL.
We solicit comments on whether the
standards and laws identified below are
appropriate examples and whether we
should limit the certification criteria to
which this criterion would apply. For
example, limiting it to a Health IT
Module certified only to the
certification criteria proposed in
§ 170.315(a), (b), (c), and (e), or
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otherwise. To note, we believe that, at
a minimum, this criterion would not
apply to the certification criteria in
§ 170.315(g).
Example health IT accessibilitycentered design standards and
accessibility laws:
• ETSI ES 202 076—Human Factors
(HF); User Interfaces; Generic spoken
command vocabulary for ICT devices
and services;
• ETSI ETS 300 679—Terminal
equipment (TE); Telephony for the
hearing impaired; Electrical coupling of
telephone sets to hearing aids;
• ETSI TR 102 068 (2002) Human
Factors (HF): Requirements for assistive
technology devices in ICT;
• ETSI TS 102 511 (2007) Human
Factors (HF): AT commands for assistive
mobile device interfaces;
• IEEE 802.11 IEEE standard for
Information Technology;
Telecommunications and information:
Exchange between systems; local and
metropolitan area network; specific
requirements—Part 11: Wireless LAN
Medium Access Control (MAC) and
Physical Layer (PHY) Specification;
• ISO 13406–1 (1999) Ergonomic
requirements for work with visual
displays based on flat panels. Part 1—
Introduction;
• ISO 13406–2 (2001) Ergonomic
requirements for work with visual
displays based on flat panels. Part 2—
Ergonomic requirements for flat panel
displays;
• IEC 80416–1 (2001) Basic principles
for graphical symbols for use on
equipment—Part 1: Creation of symbol
originals;
• ISO 80416–2 (2002) Basic
principles for graphical symbols for use
on equipment—Part 2: Form and use of
arrows;
• IEC 80416–3 (2002) Basic principles
for graphical symbols for use on
equipment—Part 3: Guidelines for the
application of graphical symbols;
• ISO 80416–4 (2005) Basic
principles for graphical symbols for use
on equipment. Part 4—Guidelines for
the adaptation of graphical symbols for
use on screens and displays;
• ISO 9241–151 (2008) Ergonomics of
human-system interaction—Part 151:
Guidance on World Wide Web user
interfaces;
• ISO 9355–1 (1999) Ergonomic
requirements for the design of displays
and control actuators. Part 1: Human
interactions with displays and control
actuators;
• ISO 9355–2 (1999) Ergonomic
requirements for the design of displays
and control actuators. Part 2: Displays;
• ISO 9999 (2007) Assistive products
for persons with disability—
Classification and terminology;
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• ISO/CD 24500 Guidelines for all
people, including elderly persons and
persons with disabilities—Auditory
signals on consumer products;
• ISO/IEC 15411 (1999) Information
technology—Segmented keyboard
layouts;
• ISO/IEC 15412 (1999) Information
technology—Portable keyboard layouts;
• ISO/IEC 24755 (2007) Information
technology—Screen icons and symbols
for personal mobile communication
devices;
• ISO/IEC CD 24786–1 Information
Technology—User interfaces—
Accessible user interface for
accessibility setting on information
devices—Part 1: General and methods to
start;
• ISO/IEC TR 15440 (2005)
Information Technology—Future
keyboards and other associated input
devices and related entry methods;
• ISO/IEC TR 19765 (2007)
Information technology—Survey of
icons and symbols that provide access
to functions and facilities to improve
the use of IT products by the elderly and
persons with disabilities;
• ISO/IEC TR 19766 (2007)
Information technology—Guidelines for
the design of icons and symbols
accessible to all users, including the
elderly and persons with disabilities;
• ITU–T E.902 (1995) Interactive
services design guidelines;
• ITU–T P.85 (1994) A method for
subjective performance assessment of
the quality of speech voice;
• Section 504 of the Rehabilitation
Act; and
• Section 508 of the Rehabilitation
Act.
Because we propose that Health IT
Modules certified to the 2015 Edition
would be required to be certified to the
2015 Edition Accessibility-centered
design criterion, we also propose to
revise § 170.550 to require ONC–ACBs
follow this proposed approach (please
see section IV.C.2 of this preamble for
this proposal).
• Transport Methods and Other
Protocols
We propose two ways for providers to
meet the 2015 Edition Base EHR
definition using health IT certified to
transport methods. These ways serve to
account for transport methods that we
understand are being used to readily
exchange electronic health information
and ensure that providers have
interoperable ways to exchange
electronic health information. The first
way to meet the proposed 2015 Edition
Base EHR definition requirement would
be for a provider to have health IT
certified to § 170.315(b)(1) and (h)(1)
(Direct Project specification). This
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would account for situation where a
provider uses a health IT developer’s
product that acts as the ‘‘edge’’ and the
HISP. The second way would be for a
provider to have health IT certified to
§ 170.315(b)(1) (ToC criterion) and (h)(2)
(Direct Project, Edge Protocol, and XDR/
XDM). This would account for
situations where a provider is using one
health IT developer’s product that
serves as the ‘‘edge’’ and another health
IT developer’s product that serves as a
HISP.182 The capabilities included in
proposed § 170.315(h)(2) ensure
interoperability by accounting for
various electronic health information
exchange options using the Direct
Project specification. To fully
implement this approach, we propose to
revise § 170.550 to require an ONC–ACB
to ensure that a Health IT Module
includes the certification criterion
adopted at § 170.315(b)(1) in its
certification’s scope in order to be
certified to the certification criterion
proposed for adoption at
§ 170.315(h)(1). We welcome comment
on these proposed approaches and the
transport standards listed below in
§ 170.315(h)(1) through (3).
Consistent with our proposed title of
‘‘transport methods and other
protocols’’ for § 170.315(h), we
proposed to revise the heading of
§ 170.202 from ‘‘transport standards’’ to
‘‘transport standards and other
protocols.’’
• Direct Project
2015 Edition Health IT Certification Criterion
§ 170.315(h)(1) (Direct Project)
We propose to adopt a certification
criterion that includes the capability to
send and receive according to the
Applicability Statement for Secure
Health Transport (the primary Direct
Project specification) adopted at
§ 170.202(a). We previously adopted
this capability for the 2014 Edition at
§ 170.314(b)(1), (b)(2) and (h)(1). We
remind health IT developers that best
practices exist for the sharing of
electronic health information and
enabling the broadest participation in
electronic health information exchange
with Direct.183
We propose to include as an optional
capability for certification, the
capability to send and receive according
to the Implementation Guide for
Delivery Notification in Direct, Version
1.0, June 29, 2012, which we propose to
182 See the 2014 Edition Release 2 final rule for
more discussion on such situations (79 FR 54436–
38).
183 https://wiki.directproject.org/
Best+Practices+for+Content+and+Workflow.
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adopt at § 170.202(e). While this is not
a capability we have previously
adopted, we proposed to adopt it as part
of the Voluntary Edition proposed rule
(79 FR 10914). The primary Direct
Project specification requires that
Security/Trust Agents (STAs) must
issue a Message Disposition Notification
(MDN, RFC3798) with a disposition of
processed upon successful receipt,
decryption, and trust validation of a
Direct message. By sending this MDN,
the receiving STA is taking
custodianship of the message and is
indicating that it will deliver the
message to its destination. While the
primary Direct Project specification
indicates that additional MDNs may be
sent to indicate further processing
progress of the message, they are not
required. The primary Direct Project
specification, however, does not provide
guidance in regards to the actions that
should be taken by the sending STA in
the event an MDN processed message is
not received or if the receiving STA
cannot deliver the message to its
destination after sending the initial
MDN processed message. Due to the
lack of specifications and guidance in
the primary Direct Project specification
regarding deviations from normal
message flow, STAs implementing only
requirements denoted as ‘‘must’’ in
Section 3 of the primary Direct Project
specification may not be able to provide
a high level of assurance that a message
has arrived at its destination. The
Delivery Notification IG provides
implementation guidance enabling
STAs to provide a high level of
assurance that a message has arrived at
its destination and outlines the various
exception flows that result in
compromised message delivery and the
mitigation actions that should be taken
by STAs to provide success and failure
notifications to the sending system.
Based on CMS guidance, the use of
the Delivery Notification IG can be used
to provide the necessary level of
assurance that sent laboratory results are
received by a provider.184 Additionally,
we note that the Delivery Notification IG
could be generally useful for any
transmission that requires a high level
of assurance.
• Direct Project, Edge Protocol, and
XDR/XDM
2015 Edition Health IT Certification Criterion
184 See
CMS CLIA guidance on the use of Direct
with the Delivery Notification IG: https://
www.cms.gov/Medicare/Provider-Enrollment-andCertification/SurveyCertificationGenInfo/Policyand-Memos-to-States-and-Regions-Items/Surveyand-Cert-Letter-14-05.html?DLPage=1&DLFilter
=2014&DLSort=3&DLSortDir=ascending.
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§ 170.315(h)(2) (Direct Project, Edge Protocol, and XDR/XDM)
We propose to include three distinct
capabilities in this criterion. The first
capability is the capability to send and
receive according to the Applicability
Statement for Secure Health Transport
(the primary Direct Project
specification) adopted at § 170.202(a).
The second capability is to send and
receive according to both Edge Protocol
methods specified by the standard
adopted at § 170.202(d). The third
capability is to send and receive
according to the XDR and XDM for
Direct Messaging Specification adopted
at § 170.202(b). These three capabilities
were previously adopted as part the
2014 Edition, including through the
2014 Edition and 2014 Edition Release
2 final rules. We remind health IT
developers that best practices exist for
the sharing of information and enabling
the broadest participation in
information exchange with Direct.185
• SOAP Transport and Security
Specification and XDR/XDM for Direct
Messaging
2015 Edition Health IT Certification Criterion
§ 170.315(h)(3) (SOAP Transport and Security Specification and XDR/XDM for Direct
Messaging)
We propose to adopt a 2015 Edition
certification criterion for electronic
transmission that would include the
capability to send and receive according
to the Transport and Security
Specification (also referred to as the
SOAP-Based Secure Transport RTM
adopted at § 170.202(c)) and its
companion specification XDR and XDM
for Direct Messaging Specification
adopted at § 170.202(b) We previously
adopted this capability for the 2014
Edition at § 170.314(b)(1), (b)(2) and
(h)(3).
• Healthcare Provider Directory—
Query Request
2015 Edition Health IT Certification Criterion
§ 170.315(h)(4) (Healthcare Provider Directory—query request)
In June 2011, the HITPC
recommended 186 that we consider the
adoption of provider directory
capabilities for the ONC Health IT
Certification Program as well as work to
address many of the issues they raised.
185 https://wiki.directproject.org/Best+Practices
+for+Content+and+Workflow.
186 https://www.healthit.gov/sites/default/files/
pdf/HITPC_transmit_InfoExchWG_May2011-final
signed.pdf.
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To address the HITPC’s
recommendations, ONC launched a
number of initiatives to define a single
provider directory standard and to pilot
its use.
ONC worked with implementers and
subject matter experts in the field to
hone in on the specific types of
capabilities that should be included in
a provider directory criterion.
Stakeholders voiced a desire for
technology to have the ability to be able
to query individual directory sources
and directory sources federated by third
parties such as HIOs, RHIOs, HISPs etc.
This is also known as ‘‘federated
querying.’’ However, there were only a
few implementations of federated
querying across the country and many
were unique due to the lack of a single
standard. Given this challenge, and its
potential to inhibit exchange, ONC
launched an open source project called
‘‘Modular Specification Provider
Directories (MSPD).’’ 187
During the MSPD project,
stakeholders collaborated to identify
requirements for an updated version of
the ‘‘Healthcare Provider Directory
(HPD)’’ profile in order to provide a
unified vendor-neutral platform for
implementation of provider directories
that supports both federated and nonfederated architectures. The project
resulted in implementable, testable
specifications, and high quality test
cases that verify conformance to the
‘‘test implementation’’ and it is now
part of an approved IHE HPD profile
Change Proposal 188. In addition, ONC
awarded a grant to the EHR |√ HIE
Interoperability Workgroup 189 to pilot
provider directory standards with
multiple states.
The original HPD profile created by
Integrating the Healthcare Enterprise
(IHE) 190 addresses transactions between
the client and a single provider
directory with a single data source.
While the standard can be used for
federation, it does not address the
complexities introduced by federation;
provide a well-defined and
straightforward approach to error
handling; support targeted queries to
federated data sources; or define
mechanisms by which to distinguish the
source of results in a given response.
IHE (in collaboration with ONC, eHealth
Exchange and the EHR | HIE
Interoperability Work Group) has
187 https://modularspecs.siframework.org/
Provider+Directories+Homepage.
188 ftp://ftp.ihe.net/IT_Infrastructure/TF_
Maintenance-2015/CPs/3_FinalText/from_Ballot_
24/CP-ITI-792-05.doc.
189 https://www.interopwg.org/.
190 https://wiki.ihe.net/
index.php?title=Healthcare_Provider_Directory.
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worked to update the IHE HPD profile
to address federation. In September of
2013 ONC submitted a change proposal
to IHE to incorporate the MSPD IG into
the HPD profile. Through the IHE
balloting process modifications were
made to the change proposal to be
backwards compatible with the existing
IHE HPD Profile. These changes were
implemented by multiple organizations
to prove the feasibility and ease of
implementation of the change proposal.
This revised change proposal was
approved by IHE in September 2014.191
In August 2013, the HITPC
recommended including a provider
directory standard in the EHR Incentive
Programs Stage 3.192 The Voluntary
Edition proposed rule included a
request for public comment on a
potential future ‘‘provider directory’’
certification criterion that would, ‘‘at a
minimum,’’ require health IT to be able
to query provider directories for the
following information and electronically
process the response returned in
accordance with the IHE HPD profile
requirements
• Query for an individual provider;
• Query for an organizational
provider; and
• Query for relationships between
individual providers and organizational
providers.
We received twenty-three comments
related to the provide directory
question. Twenty of those comments
were supportive of the inclusion of a
provider directory standard in the 2015
Edition. In July 2014, the HITSC
released their analysis on the IHE HPD
profile, stating that the IHE HPD+
profile 193 was a good start, but not yet
mature enough for nationwide
implementation.194
Based on the feedback we received
from stakeholders on the Voluntary
Edition proposed rule recommending
the adoption of IHE HPD and the results
of pilots undertaken by EHR | HIE
Interoperability Workgroup and others,
we believe that making the IHE HPD
profile available for testing and
certification would benefit its further
use and implementation in the field.
Therefore, we propose a new
certification criterion that would require
a Health IT Module to be capable of
191 ftp://ftp.ihe.net/IT_Infrastructure/TF_
Maintenance-2015/CPs/3_FinalText/from_Ballot_
24/CP–ITI–792–05.doc.
192 https://www.healthit.gov/FACAS/sites/faca/
files/IE%20WG_Recommendation%20Transmittal_
MU3v2.docx.
193 https://ihe.net/uploadedFiles/Documents/ITI/
IHE_ITI_Suppl_HPD_Rev1.4_TI_2013-09-20.pdf.
194 https://www.healthit.gov/FACAS/sites/faca/
files/HITSC_NwHIN_Provider_Directory_2014-0716.pdf.
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querying a directory using the IHE HPD
Profile.195 In addition, we propose
including an optional capability within
this certification criterion that addresses
federated requirements. In this optional
capability, we propose that the Health
IT Module would be required to follow
the approved federation option of IHE
HPD 196 to accomplish querying in
federated environments. The federation
change proposal was approved in
September, 2014 and was incorporated
into the IHE HPD Profile.197 While the
IHE HPD profile provides the ability to
perform queries about individual
providers, organizational providers,
provider credentials and other details
about providers, this proposed
certification criterion seeks to establish
a minimum set of queries that a Health
IT Module would be required to
support. The capabilities that would
need to be supported by a Health IT
Module include: (1) Querying for an
individual provider; (2) Querying for an
organizational provider; (3) Querying for
both individual and organizational
provider in a single query; (4) Querying
for relationships between individual
and organizational providers; and (5)
electronically processing the response
according to the IHE HPD Profile.
We believe making this basic
infrastructure component available for
testing and certification could assist
EPs, EHs, and CAHs in achieving the
ToC requirements under the EHR
Incentive Programs by enabling them to
find electronic service information such
as Direct addresses for providers who
participate in other HISPs/HIEs. It
would also drive a common approach to
directories across trust communities,
which would improve interoperability
across these communities.
• Healthcare Provider Directory—
Query Response
2015 Edition Health IT Certification Criterion
§ 170.315(h)(5) (Healthcare Provider Directory—query response)
To complement the certification
criterion we propose for adoption at
170.315(h)(4) related to health IT
issuing a ‘‘query request,’’ we also
propose to adopt a certification criterion
at 170.315(h)(5) that would focus on the
‘‘query response’’ and include the
corresponding set of capabilities to
respond to a provider directory query.
This proposed separation would
195 https://www.ihe.net/uploadedFiles/Documents/
ITI/IHE_ITI_Suppl_HPD.pdf.
196 https://www.ihe.net/uploadedFiles/Documents/
ITI/IHE_ITI_Suppl_HPD.pdf.
197 https://www.ihe.net/uploadedFiles/Documents/
ITI/IHE_ITI_Suppl_HPD.pdf.
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provide developers with the flexibility
to test and certify for provider directory
‘‘query’’ independent of the provider
directory ‘‘response.’’ A health IT
system would be able to be presented
for testing and certification to both
proposed certification criteria if
applicable or just to one or the other as
appropriate based on the product’s
capabilities.
Health IT systems serving as
‘‘directory sources’’ that would be
seeking testing and certification to (h)(5)
would have to support responding to
the same queries initiated by systems
seeking testing and certification to (h)(4)
for interoperability purposes. As part of
this proposed certification criterion, we
propose that directory sources must
demonstrate the capability to respond to
provider directory queries according to
the IHE HPD profile. Additionally, as
part of the certification criteria, we
propose that the directory sources must
respond to the following provider
directory queries
• Query for an individual provider;
• Query for an organizational
provider; and
• Query for relationships between
individual providers and organizational
providers.
In addition we propose including an
optional capability within this
certification criterion to address
federated requirements. In this optional
capability, we propose that the Health
IT Module would be required to follow
the approved federation option of for
IHE HPD to accomplish querying in
federated environments. The federation
change proposal was approved in
September, 2014 was incorporated into
the IHE HPD Profile.
• Electronic Submission of Medical
Documentation
2015 Edition Health IT Certification Criterion
§ 170.315(i)(1) (Electronic submission of
medical documentation)
We propose to adopt a new
certification criterion as part of the
proposed 2015 Edition at § 170.315(i)(1)
that would focus on the electronic
submission of medical documentation.
According to CMS, the Medicare Fee
for Service (FFS) program currently
spends in excess of $360 billion
annually to provide services to over 35
million beneficiaries (excludes
Medicare eligible individuals enrolled
in non-FFS Medicare Programs).198 The
2013 CMS Office of Financial
Management (OFM) Improper Payment
198 https://www.hhs.gov/budget/fy2015/fy-2015budget-in-brief.pdf.
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Report 199 noted that 12.7% (or $45.8 B)
of the payments from the Medicare trust
fund were for claims for services that
were either: 1) not medically necessary
and appropriate based on
documentation that was submitted; or 2)
insufficiently documented to determine
if the billed service was necessary.
To respond to Congress’ mandate 200
to more effectively manage improper
payments, while recognizing the
importance of reducing administrative
burden for providers, CMS OFM’s
Provider Compliance Group (PCG)
established the electronic submission of
Medical Documentation (esMD)
program to begin to enable the
electronic submission of medical
documentation.201 As part of this
program, CMS worked with ONC to
establish the ‘‘esMD Initiative’’ under
the S&I Framework.202 This initiative
created use cases and identified
appropriate standards to facilitate the
electronic exchange of medical
documentation among providers and
Medicare FFS review contractors.
Currently, esMD Phase 1 supports the
submission of unstructured data in PDF
format. This method of submission is
broadly deployed and accounts for over
25% of all Medicare FFS post-payment
medical review submissions. In addition
to post-payment review, new
demonstration programs are focused on
prior-authorization for specific services
that have high improper payment rates.
Prior-authorization ensures appropriate
documentation is reviewed prior to
these services/items being performed or
delivered in order to avoid postpayment denials that may affect the
beneficiary, the provider, or both.
In addition to current methods for
submitting medical documentation (e.g.,
mail, fax, PDF), Medicare FFS seeks to
also enable a standardized and
interoperable electronic approach that
would reduce the time, expense, and
paper required in current manual
processes used for prior authorization,
pre-payment review, post-payment
audit, and quality management.
Acceptable methods must ensure that
providers are able to submit any
199 https://www.cms.gov/Research-Statistics-Dataand-Systems/Monitoring-Programs/Medicare-FFSCompliance-Programs/CERT/?redirect=/
cert.
200 https://www.whitehouse.gov/sites/default/files/
omb/financial/_improper/PL_107–300.pdf; https://
www.gpo.gov/fdsys/pkg/PLAW–112publ248/pdf/
PLAW–112publ248.pdf; and www.whitehouse.gov/
sites/default/files/omb/financial/_improper/PL_
111-204.pdf.
201 https://www.cms.gov/Research-Statistics-Dataand-Systems/Computer-Data-and-Systems/ESMD/
index.html?redirect=/ESMD.
202 https://wiki.siframework.org/esMD++Charter+and+Members.
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documentation they believe is required
in order to show that a proposed or
provided service meets applicable
requirements.
The esMD Initiative electronic
Determination of Coverage (eDoC)
workgroup provided an open forum for
providers and payers to establish a
mutual understanding of the
requirements necessary for submission
of structured medical documentation to
support prior authorization, prepayment review and post-payment
audit. Standards analysis by the
workgroup revealed a significant gap in
the current standards with respect to
uses that went beyond the exchange of
a summary care record between
providers. To address this gap,
participants in the eDoC workgroup
created a new Clinical Documents for
Payers—Set 1 (CDP1) IG to further
extend and constrain the C–CDA
Release 2.0 standard.
Non-repudiation of signatures for
electronic submission of medical
documentation was a complementary
challenge faced by the esMD Initiative.
While keeping in mind the cost and
impact of certain requirements, the
esMD Initiative focused on two
approaches to digital signatures. The
‘‘Author of Record Level 1’’ use case
addressed the need for digital signatures
on groups of documents and on single
transactions. The ‘‘Author of Record
Level 2’’ use case focused on digital
signatures that could be embedded in
HL7 CDA documents and included
support for multiple signers where each
declares their role and signature
purpose. In addition to the ability to
support digital signatures using industry
standards, the use cases also addressed
a standards-based method for the
delegation, by a holder of a digital
certificate, of the right to sign on their
behalf by another holder of a digital
certificate. While digital signatures have
been implemented in the healthcare
industry for other purposes, this effort
will extend their use to declare and
secure the provenance of single
documents, bundles of documents, and
transactions. The use of digital
signatures on C–CDA documents will
guarantee the identity of the author and
ensure the integrity of the data once the
document has been signed.
In summary, the esMD Initiative and
its participants successfully produced
standards and implementation guides to
help minimize improper payments;
improve interoperability for electronic
submission of medical documentation,
including parameters for nonrepudiation, and reduce administrative
burden associated with prior
authorization, pre-payment review,
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post-payment audit and quality
management.
In light of this work, we propose to
adopt a certification criterion at
§ 170.315(i)(1) to support the electronic
submission of medical documentation
that includes four specific capabilities,
which are each discussed in more detail
below. As we mentioned in the
Executive Summary of this proposed
rule and discuss in more detail under
section IV.B of this preamble
(Modifications to the ONC Health IT
Certification Program), we propose to
broaden the scope of the ONC Health IT
Certification Program beyond just
focusing on supporting the EHR
Incentive Programs. As such, we seek to
make clear that this certification
criterion is not within those programs’
scope and is meant to be available to
support other CMS program policy
objectives as well as health care
providers’ ability to communicate
encounter documentation to a payer, in
particular to satisfy Medicare FFS
coverage determination rules.
Capability 1—We propose that a
Health IT Module be able to support the
creation of a document in accordance
with the HL7 Implementation Guide for
CDA Release 2: Additional CDA R2
Templates—Clinical Documents for
Payers—Set 1, Release 1—US Realm 203
in combination with the C–CDA Release
2.0 standard (proposed for adoption at
§ 170.205(a)(4)). We propose to adopt
the most recent version of the CDP1 IG
at § 170.205(a)(5)(i).204 The CDP1 IG is
designed to be used in conjunction with
C–CDA Release 2.0 templates and makes
it possible for providers to exchange a
more comprehensive set of clinical
information. For example, payers such
as Medicare FFS allow providers to
submit any information they believe
substantiates that a service is medically
necessary and appropriate under the
applicable coverage determination rules.
A Health IT Module’s support for the
document-level templates formatted in
accordance with the CDP1 IG would
ensure that the technology is able to
communicate all information relative to
a patient encounter or assert that
information for each ‘‘required’’ section
is not available/included. If the provider
then applies a digital signature to the
document (as discussed in more detail
below), the result is a non-repudiation
203 https://www.hl7.org/special/Committees/
claims/index.cfm. We also note that access to the
current draft of the CDP1 IG is freely available for
review during the public comment period by
establishing an HL7 user account.
204 This would be the version of the IG (DSTU)
that completes the ballot cycle before issuance of
a subsequent final rule.
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declaration of the encounter
information.
The CDP1 IG was balloted in February
of 2014 and should complete balloting
this spring.205 The February 2014
balloted version includes the following
new templates:
(1) Five (5) new or additionally
constrained document level templates:
• Enhanced Encounter Document
• Enhanced Hospitalization
Document
• Enhanced Operative Note
Document
• Enhanced Procedure Document
• Interval Document
(2) Four (4) new section level
templates:
• Additional Documentation Section
• Externally Defined Clinical Data
Elements Section
• Placed Orders Section
• Transportation Section
(3) Three (3) additionally constrained
C–CDA Release 2.0 section level
templates:
• Functional Status Section
• Plan of Treatment Section
• Social History Section
(4) New or additionally constrained
entry level templates that provide
support for new section level templates.
The most recent changes to the CDP1
IG include:
• Expanded descriptions regarding
the use of the IG;
• References to and a list of
additional constraints for templates that
are based on the C–CDA Release 2.0
templates;
• Updates required for conformance
with the published version of the C–
CDA Release 2.0 ;
• Removal of attestation language and
addition of a document succession
description (clarification of standard C–
CDA document succession);
• Technical corrections; and
• Name changes for the IG and the
individual document level templates.
The CDP1 IG enables documentation
to be completely and accurately
conveyed in the new document
templates. To do this, the document
level templates referenced by the CDP1
IG require the inclusion of the
referenced section level templates,
which also include additional
specificity and constraints. While a
Health IT Module would need to
support the entry of additional
information, providers would not
necessarily be required to collect any
additional information to satisfy the
205 https://www.hl7.org/special/Committees/
claims/index.cfm. We also note that access to the
current draft of the CDP1 IG is freely available for
review during the public comment period by
establishing an HL7 user account.
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new constraints. In other words, a
specific nullFlavor may be used by the
Health IT Module when creating the
CDP1 IG document to indicate that no
information is available for the relevant
section or entry level template.
Likewise, the Health IT Module may
enable the provider to indicate that
while information is present in the
medical record it is not applicable to the
purpose for which the document is
intended and would subsequently result
in an appropriate nullFlavor in the
created CDP1 document.
To meet this capability included in
the proposed certification criterion, a
Health IT Module must be able to create
a document that also conforms to the
CDP1 IG’s requirements along with
appropriate use of nullFlavors to
indicate when information is not
available in the medical record for
section or entry level template required
in the CDP1 IG. In addition, a
conformant Health IT Module must also
demonstrate the ability to generate the
document level templates as defined in
the C–CDA Release 2.0, including the
unstructured document.
We propose to further refine this
certification criterion’s scope relative to
the applicable document templates
within the C–CDA Release 2.0 and CDP1
IG that would need to be tested and
certified for specific settings for which
a Health IT Module is designed.
Specifically, we propose that a Health
IT Module:
• Would, regardless of the setting for
which its designed, need to be tested
and certified to the following document
templates:
Æ Diagnostic Imaging Report;
Æ Unstructured Document;
Æ Enhanced Operative Note
Document;
Æ Enhanced Procedure Note
Document; and
Æ Interval Document.
• Designed for the ambulatory setting
would also need to be certified to the
Enhanced Encounter Document.
• Designed for the inpatient setting
would also need to be certified to
Enhanced Hospitalization Document.
Capability 2—We propose that a
Health IT Module be able to support the
use of digital signatures embedded in C–
CDA Release 2.0 and CDP1 IG
documents templates by adopting the
HL7 Implementation Guide for CDA
Release 2: Digital Signatures and
Delegation of Rights, Release 1 (DSDR
IG) (proposed for adoption at
§ 170.205(a)(5)(ii)).206 This DSDR IG
defines a method to embed digital
206 https://www.hl7.org/implement/standards/
product_brief.cfm?product_id=375.
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signatures in a CDA document and
provides an optional method to specify
delegation of right assertions that may
be included with the digital signatures.
We note, however, that for the purposes
of certification, we propose to require
that that optional method must be
demonstrated to meet this certification
criterion. The implementation of this IG
will allow payers, such as Medicare, to
accurately authenticate the authorized
signers of CDA document and trust the
validity and authenticity of signed
medical documentation. The DSDR IG
provides specific guidance on the use of
digital signatures embedded in a CDA
document to:
• Provide a non-repudiation signature
that attests to the role and signature
purpose of each authorized signer to the
document.
• Provide for a delegation of rights
where the signer is a delegated signer
and not the authorized signer
responsible individual or organization
(e.g., the signer is acting as an
authorized agent).
• Define the method of incorporating
multiple digital signatures and
delegation of right assertions into the
header of a CDA document.
• Define how to create the digest of
the CDA document
• Define how to sign and incorporate
the:
Æ CDA digest;
Æ Timestamp;
Æ Role of the signer;
Æ Purpose of signature.
• Define how to incorporate the:
Æ The public certificate of the signer;
Æ Long term validation data,
including Online Certificate Status
Protocol (OCSP) response and/or
Certificate Revocation List (CRL).
Digital signatures ensure that the
recipient of the signed document can
authenticate the authorized signer’s
digital certificate, the signature
artifact(s), determine the signer’s role
and signature purpose and validate the
data integrity of the document. To create
a valid digital signature that meets
Federal Information Processing
Standards (FIPS) 207, Federal
Information Security Management Act
of 2002 (FISMA) 208, and Federal Bridge
Certification Authority (FBCA)
requirements 209, the system used to
digitally sign C–CDA Release 2.0 or
CDP1 IG documents in accordance with
207 https://www.nist.gov/itl/fips.cfm.
208 https://csrc.nist.gov/drivers/documents/FISMAfinal.pdf.
209 https://www.idmanagement.gov/sites/default/
files/documents/FBCA%20Certificate%20Policy
%20v2.27.pdf.
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the DSDR IG must meet the following
requirements:
(1) The cryptographic module 210 used
must:
a. Be validated to meet or exceed FIPS
140–2, Level 1.
b. Implement a digital signature
system and hash function must be
compliant with FIPS 186–2 and FIPS
180–2.
c. Store the private key on a FIPS
140–2 Level 1 validated cryptographic
module using a FIPS-approved
encryption algorithm.
(2) The system must support multifactor authentication that meets or
exceeds Level 3 assurance as defined in
NIST SP 800–63–2.
(3) The system must set a 10-minute
inactivity time period after which the
certificate holder must re-authenticate
the password to access the private key.
(4) For software implementations,
when the signing module is deactivated,
the system must clear the plain text
private key from the system memory to
prevent the unauthorized access to, or
use of, the private key.
(5) The system must have a time
system that is synced with the official
National Institute of Standards and
Technology time source (as described by
the standard adopted at 45 CFR
170.210(g)).
For the purposes of testing and
certification, we propose that the first
requirement (cryptographic module
requirements) be met through
compliance documentation. For all
other specific capabilities in the list
above, we expect testing and
certification to assess the capabilities
expressed.
We also propose that a Health IT
Module must demonstrate the ability to
validate a digital signature embedded in
a C–CDA Release 2.0 document that is
conformant with the DSDR IG. The
requirements to perform this action are
included in the DSDR IG.
Capability 3—We propose that a
Health IT Module be able to support the
creation and transmission of ‘‘external
digital signatures’’ for documents. These
digital signatures may be used to sign
any document for the purpose of both
data integrity and non-repudiation. The
esMD Initiative defines the
requirements in the Author of Record
Level 1: Implementation Guide.211 We
210 A cryptographic module is defined in FIPS
140–2 as ‘‘a set of hardware, software, firmware, or
some combination thereof that implements
cryptographic functions or processes, including
cryptographic algorithms and, optionally, key
generation, and is contained within a defined
cryptographic boundary.’’
211 https://wiki.siframework.org/file/view/
esMD%20AoR%20Level%201%20
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propose to adopt this IG at
§ 170.205(a)(5)(iii). The Author of
Record Level I IG uses the IHE DSG
standard to provide a signer with the
ability to digitally sign multiple
documents and embed the W3C
compliant XADES signature in a
signature document that may
accompany the signed documents or as
a ‘‘wrapper’’ for the documents. This
signing capability is intended for use
when the sender of one or more
documents needs to ensure that the
transmitted documents include the nonrepudiation identity of the sender and
ensure that the recipient can validate
that the document s have not been
altered from the time of signing. This is
not intended to replace the ability to
embed multiple digital signatures in a
C–CDA Release 2.0 and CDP1 IG
document. The Author of Record Level
1 IG provides specific guidance on the
use of a single digital signature, external
to document, to:
• Provide a non-repudiation signature
that attests to the identity of the signer;
• Allows the recipient to validate the
data integrity of the signed document;
• Provide for a delegation of rights
where the signer is a delegated signer
and not the authorized signer
responsible individual or organization
(e.g., the signer is acting as an
authorized agent); and
• Defines how to incorporate the
public certificate of the signer.
Digital signatures ensure that the
recipient of the signed document can
authenticate the authorized signer’s
digital certificate, the signature
artifact(s), and validate the data integrity
of the document. The system
requirements in place to apply digital
signatures on documents are the same as
in capability 2 with the addition of a
requirement that specifies that a Health
IT Module must be able to digitally sign
single or bundles of documents in
conformance with the Author of Record
Level 1 IG.
Capability 4—We propose that a
Health IT Module be able to support the
creation and transmission of digital
signatures for electronic transactions for
the purpose of both data integrity and
non-repudiation authenticity. The esMD
Initiative defines the requirements in
the Provider Profiles Authentication:
Registration Implementation Guide.212
We propose to adopt this IG at
Implementation%20Guide%20v5%20FINAL.docx/
539084894/esMD%20AoR%20Level%201%20
Implementation%20Guide%20v5%20FINAL.docx.
212 https://wiki.siframework.org/file/view/
esMD%20Use%20Case%201%20Implementation
%20Guide%20V24%20FINAL.docx/539084920/
esMD%20Use%20Case%201%20Implementation
%20Guide%20V24%20FINAL.docx.
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16867
§ 170.205(a)(5)(iv). The Provider Profiles
Authentication: Registration IG uses the
W3C XADES digital signature standard
to ‘‘sign’’ the contents of an electronic
transaction and include the signature as
accompanying metadata in the signed
transaction. This signing capability is
intended for use when the sender or
recipient of a transaction needs to
ensure that the transmitted information
include the non-repudiation identity of
the sender and ensure that the recipient
can validate that the authenticity and
integrity of the transaction information.
This is not intended to replace the
digital signature requirements defined
in either Capability 2 or 3 above. The
Provider Profiles Authentication:
Registration IG provides specific
guidance on the creation and use of a
single digital signature for an electronic
transaction, as accompanying metadata,
to:
• Provide a non-repudiation signature
that attests to the identity of the signer;
• Allow the recipient to validate the
data integrity of the signed transaction;
• Provide for a delegation of rights
where the signer is a delegated signer
and not the authorized signer
responsible individual or organization
(e.g., the signer is acting as an
authorized agent); and
• Define how to incorporate the
public certificate of the signer.
Digital signatures ensure that the
recipient of the signed transaction can
authenticate the authorized signer’s
digital certificate, the signature
artifact(s), and validate the data integrity
of the transaction. The system
requirements in place to apply digital
signatures for transactions are the same
as in capability 2 with the addition of
a requirement that specifies that a
Health IT Module must be able to
digitally sign a transaction and create
the appropriate metadata in
conformance with the Provider Profiles
Authentication: Registration IG.
4. Gap Certification Eligibility Table for
2015 Edition Health IT Certification
Criteria
We define gap certification at 45 CFR
170.502 as the certification of a
previously certified Complete EHR or
EHR Module(s) to: (1) all applicable new
and/or revised certification criteria
adopted by the Secretary at subpart C of
part 170 based on the test results of a
NVLAP-accredited testing laboratory;
and (2) all other applicable certification
criteria adopted by the Secretary at
subpart C of part 170 based on the test
results used to previously certify the
Complete EHR or EHR Module(s) (for
further explanation, see 76 FR 1307–
1308). Our gap certification policy
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focuses on the differences between
certification criteria that are adopted
through rulemaking at different points
in time. This allows health IT to be
certified to only the differences between
certification criteria editions rather than
requiring health IT to be fully retested
and recertified to certification criteria
(or capabilities) that remain unchanged
from one edition to the next and for
which previously acquired test results
are sufficient. Under our gap
certification policy, ‘‘unchanged’’
criteria are eligible for gap certification,
and each ONC–ACB has discretion over
whether it will provide the option of
gap certification.
For the purposes of gap certification,
Table 4 below provides a crosswalk of
proposed ‘‘unchanged’’ 2015 Edition
certification criteria to the
corresponding 2014 Edition certification
criteria. We note that with respect to the
2015 Edition certification criteria
proposed for adoption at § 170.315(g)(1)
through (g)(3) that gap certification
eligibility for these criteria is factspecific and will depend on any
modifications made to the specific
certification criteria to which these
‘‘paragraph (g)’’ certification criteria
apply.
TABLE 4—GAP CERTIFICATION ELIGIBILITY FOR 2015 EDITION EHR CERTIFICATION CRITERIA
2015 edition
2014 edition
Regulation section
§ 170.315
Title of regulation paragraph
Regulation section
§ 170.314
Title of regulation paragraph
(a)(1) ...........................
Computerized provider order entry—medications.
(a)(1) ..........................
(a)(18) ........................
(a)(3) ...........................
Computerized provider
nostic imaging.
entry—diag-
(a)(1) ..........................
(a)(20) ........................
(a)(8) ...........................
(a)(9) ...........................
(a)(13) .........................
(a)(16) .........................
(a)(18) .........................
(d)(1) ...........................
Medication list ..................................................
Medication allergy list ......................................
Image results ...................................................
Patient list creation ..........................................
Electronic medication administration record ....
Authentication, access control, and authorization.
Auditable events and tamper-resistance .........
Audit report(s) ..................................................
Amendments ....................................................
Automatic access time-out ...............................
Emergency access ...........................................
End-user device encryption .............................
Integrity ............................................................
Accounting of disclosures ................................
Secure messaging ...........................................
Direct Project ...................................................
(a)(6) ..........................
(a)(7) ..........................
(a)(12) ........................
(a)(14) ........................
(a)(16) ........................
(d)(1) ..........................
Computerized provider order entry.
Computerized provider order entry—medications.
Computerized provider order entry.
Computerized provider order entry—diagnostic imaging.
Medication list.
Medication allergy list.
Image results.
Patient list creation.
Electronic medication administration record.
Authentication, access control, and authorization.
Auditable events and tamper-resistance.
Audit report(s).
Amendments.
Automatic log-off.
Emergency access.
End-user device encryption.
Integrity.
Accounting of disclosures.
Secure messaging.
Transitions of care—receive, display, and incorporate transition of care/referral summaries.
Transitions of care—create and transmit transition of care/referral summaries.
Transmit—Applicability Statement for Secure
Health Transport.
Transitions of care—receive, display, and incorporate transition of care/referral summaries.
Transitions of care—create and transmit transition of care/referral summaries.
Transitions of care—send and receive via
edge protocol.
Transmit—Applicability Statement for Secure
Health Transport and XDR/XDM for Direct
Messaging.
Transitions of care—send and receive via
edge protocol.
Transitions of care—receive, display, and incorporate transition of care/referral summaries.
Transitions of care—create and transmit transition of care/referral summaries.
Transmit—SOAP Transport and Security
Specification and XDR/XDM for Direct Messaging.
(d)(2)
(d)(3)
(d)(4)
(d)(5)
(d)(6)
(d)(7)
(d)(8)
(d)(9)
(e)(2)
(h)(1)
...........................
...........................
...........................
...........................
...........................
...........................
...........................
...........................
...........................
...........................
order
(d)(2) ..........................
(d)(3) ..........................
(d)(4) ..........................
(d)(5) ..........................
(d)(6) ..........................
(d)(7) ..........................
(d)(8) ..........................
(d)(9) ..........................
(e)(3) ..........................
(b)(1)(i)(A) and
(b)(2)(ii)(A).
(h)(1) ..........................
(h)(2) ...........................
Direct Project, Edge Protocol, and XDR/XDM
(b)(1)(i)(B),
(b)(2)(ii)(B), and
(b)(8) 213.
(h)(2) and (b)(8) .........
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(h)(3) ...........................
SOAP Transport and Security Specification
and XDR/XDM for Direct Messaging.
(b)(1)(i)(C) and
(b)(2)(ii)(C).
(h)(3) ..........................
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5. Pharmacogenomics Data—Request for
Comment
Pharmacogenomics data identifies
genetic variants in individuals that alter
their metabolism or other interactions
with medications and can lead to
serious adverse events. This information
is being included in an increasing
number of FDA-approved drug labels.
Health IT systems that can capture
pharmacogenomics information could
be used to increase patient safety and
enhance patient outcomes.
To our knowledge, in general, health
IT has not yet captured genomic and
genetic patient information—the
presence of clinically significant
genomic variants—in a structured
manner such as exists for other
categorical clinical findings or
laboratory-derived data.214 This
information may currently be captured
in free text and static PDFs except in a
few individual health centers where
custom health IT solutions have been
developed. However, work on standards
and other precursors required for wider
adoption is underway, including
through the Institute of Medicine, HL7,
and LOINC®.215 Many of these efforts
are using pharmacogenomic variations
as prototypes because the clinical utility
of a subset of such variants has a greater
evidence-base, has wide clinical
applicability, and is already in clinical
use. Pharmacogenomic implementation
aims to limit preventable adverse effects
and maximize efficacy by using
information about genomic variants to
enable optimal drug choices and
patient-specific dosing.
For the use case of CDS informed by
pharmacogenetic information,
considerable ambiguity exists with
respect to the incorporation of CDS
213 Technology must have been certified to both
edge protocol methods specified by the standard in
§ 170.202(d) to be gap certification eligible.
214 https://www.genomebc.ca/education/articles/
genomics-vs-genetics/; and https://www.who.int/
genomics/geneticsVSgenomics/en/.
215 Clinical Pharmacogenetics Implementation
Consortium, https://www.pharmgkb.org/page/cpic/;
electronic medical records and genomics Network
(eMERGE), https://emerge.mc.vanderbilt.edu/
emerge-network and https://emerge.mc.vanderbilt.
edu/emerge-publications-0; Clinical Sequencing
Exploratory Research (CSER) https://cserconsortium.org; Implementing Genomics in Practice
(IGNITE), https://www.ignite-genomics.org/IGNITE_
ABOUT.html; Institute of Medicine (IOM) Action
Collaborative, https://www.iom.edu/Activities/
Research/GenomicBasedResearch.aspx; NHGRI
GM7, Genomic Medicine Centers Meeting VII action
items relating to pharmacogenomics
implementation, https://www.genome.gov/
Multimedia/Slides/GM7/09_WilliamsMiddleton.pdf; Clinical Genome Resource, https://
www.clinicalgenome.org/about/; Clinical Variation
Aggregation Database, https://www.ncbi.nlm.nih.
gov/clinvar/; and HL7 Clinical Genomics Working
Group, https://www.hl7.org/Special/committees/
clingenomics/index.cfm.
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systems that facilitate providers taking
advantage of pharmacogenomic
information.216 Thus, there is an
opportunity for further specification of
standards and implementation of
pharmacogenomic data for CDS within
health IT systems. We also believe there
may be opportunities for capturing
genomic patient data in laboratory
results, for drug-genome interactions,
and for genomic metabolizer status
(defined risks to certain medications) in
a structured way within health IT.
Note that we have previously adopted
a 2014 Edition ‘‘family health history’’
certification criterion that referenced the
HL7 standard for representing genomic
information and are proposing a 2015
Edition ‘‘family health history—
pedigree’’ certification criterion that
references that same standard as well as
a related IG. In addition to their
relevance for the tested patient, genomic
test results are unique in that they have
the potential to inform the health care
of blood relatives of the tested
individual, similar to a shared family
history. We note that any application of
genomic information across family
members must be done in accordance
with the HIPAA Privacy Rule and other
privacy and patient rights laws
regarding genetic information at the
federal and state levels.
We acknowledge that individually
identifiable genetic information may be
subject to federal and state privacy laws
and regulations that are more privacy
restrictive than the HIPAA Privacy Rule.
As such, these privacy issues will
impact any certification criteria or
policy we might propose to adopt in
future rulemaking. We therefore
welcome input on factors to consider for
health IT that allows the user to use or
disclose genetic information in a
manner compliant with federal and state
privacy laws. Note that we are
proposing two new 2015 Edition
certification criteria for ‘‘data
segmentation for privacy—send’’ and
‘‘data segmentation for privacy—
216 Overby CL, Kohane I, Kannry J, et al,
Opportunities for Genomic Clinical Decision
Support Interventions, Genet Med. 2013 October
2015(10):817–23; Rasmussen-Torvik LJ, Stallings
SC, Gordon AS, et al, Design and Anticipated
Outcomes of the eMERGE–PGx Project: A MultiCenter Pilot for Pre-Emptive Pharmacogenomics in
Electronic Health Record Systems, Clin Pharmacol
Ther. 2014 Jun 24. doi: 10.1038/clpt.2014.137,
[Epub ahead of print]; Karnes JH, Van Driest S,
Bowton EA, et al, Using systems approaches to
address challenges for clinical implementation of
pharmacogenomics, Wiley Interdiscip Rev Syst Biol
Med. 2014 Mar-Apr;6(2):125–35, doi:10.1002/
wsbm.1255. Epub 2013 Dec 6; and Peterson JF,
Bowton E, Field JR, et al, Electronic health record
design and implementation for pharmacogenomics:
a local perspective, Genet Med. 2013
Oct;15(10):833–41. doi: 10.1038/gim.2013.109.
Epub 2013 Sep 5.
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receive’’ that would focus on the
capability to separately track
(‘‘segment’’) individually identifiable
health information that is protected by
rules that are more restrictive than the
HIPAA Privacy Rule (please refer to
Section III.A.3 for more information).
We believe that the capabilities offered
by the proposed ‘‘data segmentation for
privacy’’ criteria could be leveraged for
the segmentation of individually
identifiable genetic information that are
protected by federal and state privacy
laws and regulations.
We also acknowledge that the
inclusion of genomic information in
health IT-related mechanisms will need
to be carefully implemented to balance
the benefit to patients while avoiding
discrimination against persons with or
at risk for the development of future
health issues, and their family members.
In collaboration with the National
Institutes of Health, we solicit comment
on whether:
• The 2015 Edition ‘‘medication
allergy list’’ certification criterion
should include the capability to
integrate genotype-based drug
metabolizer rate information.
• The 2015 Edition ‘‘drug-drug, drugallergy interactions checks for CPOE’’
certification criterion or as a separate
certification criterion should include
pharmacogenomic CDS for ‘‘druggenome interactions.’’
• We should offer 2015 Edition
certification for CDS that incorporate a
patient’s pharmacogenomic genotype
data into the CPOE prescribing process
with the goal of avoiding adverse
prescribing outcomes for known druggenotype interactions.
• There are certification approaches
that could enhance the end-user’s
(provider’s) adoption and continued use
of health IT implementations that guide
prescribing through CDS using
pharmacogenomic data.
• There are existing or developing
standards applicable to the capture,
storage, display, and exchange of
potentially clinically relevant genomic
data, including the pharmacogenomic
subset.
• We should offer certification for
health IT functionality that could
facilitate HIPAA-compliant sharing of
discrete elements of a patient’s genomic
information from their record to the
family history section of a relative’s
record.
• The proposed ‘‘data segmentation
for privacy’’ criteria would provide
needed health IT functions with respect
to the storage, use, transmission, and
disclosure of genetic, genomic, and
pharmacogenomics information that is
subject to protections under HIPAA and
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additional state and federal privacy and
protection laws such as the Genetic
Information Nondiscrimination Act
(GINA).217
• The proposed ‘‘data segmentation
for privacy’’ criteria adequately balance
complex genetic privacy issues, such as
those related to behavioral health, with
the clinical value of context-appropriate
availability of a patient’s actionable
genetic and genomic information.
• Health IT should be required to
apply different rules for the use and
exchange of genetic, genome, and
pharmacogenomics data based on
different groupings of diseases or
conditions based on the sensitivity of
the information, such as those related to
behavioral health.
• There are other factors we should
consider for health IT that allows the
user to use or disclose genetic
information in a manner compliant with
federal and state privacy laws.
B. Definitions
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1. Base EHR Definitions
We propose to adopt a Base EHR
definition specific to the 2015 Edition
(i.e., a 2015 Edition Base EHR
definition) at § 170.102 and rename the
current Base EHR definition at § 170.102
as the 2014 Edition Base EHR definition.
To effectively rename the current Base
EHR definition as the ‘‘2014 Edition
Base EHR’’ definition, the Base EHR
definition must be removed from the
CFR and a ‘‘2014 Edition Base EHR’’
definition must be added. This is a
procedural requirement and we affirm
that the definition itself is not changing.
However, for the proposed 2015 Edition
Base EHR definition, it would differ
from the 2014 Edition Base EHR
definition in the following ways:
• It does not include privacy and
security capabilities and certification
criteria. We believe privacy and security
capabilities would be more
appropriately addressed through our
new proposed approach for the privacy
and security certification of Health IT
Modules to the 2015 Edition, as
discussed under ‘‘Privacy and Security’’
in section IV.C.1 of this preamble. Our
new privacy and security approach
would eliminate EPs’, eligible
hospitals’, and CAHs’ responsibilities to
217 https://ghr.nlm.nih.gov/spotlight=thegenetic
informationnondiscriminationactgina.
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ensure that they have technology
certified to all the necessary privacy and
security criteria. Rather, as part of
certification, health IT developers
would need to meet applicable privacy
and security certification criteria.
• It only includes capabilities to
record and export CQM data
(§ 170.315(c)(1)). To note, the
capabilities to import, calculate and
report CQM data are not included in the
proposed 2015 Edition Base EHR
definition or any other CQM-related
requirements. Please refer to the
‘‘Clinical Quality Measures’’ section
(III.A.3) earlier in this preamble for a
more detailed discussion of the CQM
certification criteria. Please also see the
EHR Incentive Programs Stage 3
proposed rule published elsewhere in
this issue of the Federal Register for
proposals related to CQMs, including
the CEHRT definition proposal.
• It includes the 2015 Edition
‘‘smoking status’’ certification criterion
as patient demographic and clinical
health information data consistent with
statutory requirements.218 Smoking and
the use of tobacco in general is the
number one cause of preventable death
and disease in the United States. By
including this capability and criterion
in the definition, it ensures that
providers participating in the EHR
Incentive Programs have the basic
capability to capture the smoking status
of patients, which permits more
providers to take part in addressing
(through intervention and cessation
efforts) this cause of preventable disease
and death.
• It includes the 2015 Edition
‘‘implantable device list’’ certification as
patient demographic and clinical health
information data consistent with
statutory requirements.219 The ability to
record and access a patient’s unique
device identifiers can improve patient
safety. Please see the discussion under
the ‘‘implantable device list’’
certification criterion for further benefits
derived from providers having access
218 A Base EHR is the regulatory term we have
given to what the HITECH Act defines as a
‘‘qualified EHR.’’ Our Base EHR definition(s)
include all capabilities found in the ‘‘qualified
EHR.’’ Please see the 2014 Edition final rule (77 FR
54262) for further explanation.
219 A capability included in the Base EHR
definition, which originates from the ‘‘qualified
EHR’’ definition found in the HITECH Act.
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unique device identifier(s) for a
patient’s implantable device(s).
• It includes the 2015 Edition
‘‘application access to Common Clinical
Data Set’’ certification criterion as a
capability to both capture and query
information relevant to health care
quality and exchange electronic health
information with, and integrate such
information from other sources.220 Due
to the proposed inclusion of the 2015
Base EHR definition in the proposed
CEHRT definition (see ‘‘CEHRT
definition’’ section below and in the
EHR Incentive Programs Stage 3
proposed rule published elsewhere in
this issue of the Federal Register), like
all capabilities and criteria included in
the 2015 Edition Base EHR definition,
this would ensure that all EPs, eligible
hospitals, and CAHs would need to
adopt a Health IT Module certified to
this criterion in order to have the
necessary health IT to meet the CEHRT
definition. As such, the inclusion of the
2015 Edition ‘‘application access to
Common Clinical Data Set’’ certification
criterion in the 2015 Edition Base EHR
definition could further facilitate health
information exchange by being
specifically used to meet meaningful
use objectives and measures as well as
through it simply being readily available
for use by these providers and their
patients.
• It includes the proposed 2015
Edition Health IT certification criteria
that correspond to the remaining 2014
Edition certification criteria referenced
in the ‘‘2014 Edition’’ Base EHR
definition (i.e., CPOE, demographics,
problem list, medication list,
medication allergy list, CDS, transitions
of care, data portability, and relevant
transport certification criteria). On the
inclusion of transport certification
criteria, we propose to include the
‘‘Direct Project’’ criterion
(§ 170.315(h)(1)) as well as the ‘‘Direct
Project, Edge Protocol and XDR/XDM’’
criterion (§ 170.315(h)(2)) as equivalent
alternative means for meeting the 2015
Edition Base EHR definition for the
reasons discussed earlier in this
preamble under the ‘‘Transport Methods
and Other Protocols’’ section.
220 These are capabilities included in the Base
EHR definition, which originate from the ‘‘qualified
EHR’’ definition found in the HITECH Act.
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TABLE 5—CERTIFICATION CRITERIA REQUIRED TO SATISFY THE 2015 EDITION BASE EHR DEFINITION
Base EHR capabilities
Certification criteria
Includes patient demographic and clinical health information, such as
medical history and problem lists.
Capacity to provide clinical decision support ...........................................
Capacity to support physician order entry ...............................................
Capacity to capture and query information relevant to health care quality.
Capacity to exchange electronic health information with, and integrate
such information from other sources.
Marketing
We note that we would continue the
same marketing policy that we adopted
for the 2014 Edition as it relates to the
2015 Edition Base EHR definition (i.e.,
health IT developers would have the
ability to market their technology as
meeting the 2015 Edition Base EHR
definition when their Health IT
Module(s) is/are certified to all the 2015
Edition health IT certification criteria
included in the 2015 Edition Base EHR
definition).
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2. Certified EHR Technology Definition
We propose to remove the Certified
EHR Technology (CEHRT) definition
from § 170.102, effective with a
subsequent final rule for the following
reasons. The CEHRT definition has
always been defined in a manner that
supports the EHR Incentive Programs.
As such, the CEHRT definition would
more appropriately reside solely within
the EHR Incentive Programs regulations.
This would also be consistent with our
approach in this proposed rule to make
the ONC Health IT Certification Program
more open and accessible to other types
of health IT beyond EHR technology and
for health IT that supports care and
practice settings beyond those included
in the EHR Incentive Programs. Further,
this approach should add administrative
simplicity in that regulatory provisions,
which EHR Incentive Programs
participants must meet (e.g., the CEHRT
definition), would be defined within the
context of rulemakings for those
programs.
The EHR Incentive Programs
currently include a regulatory definition
of CEHRT in 42 CFR 495.4 that simply
adopts the CEHRT definition in
§ 170.102. As proposed in the EHR
Incentive Programs Stage 3 proposed
rule, published elsewhere in this issue
of the Federal Register, CMS would
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Demographics § 170.315(a)(5)
Problem List § 170.315(a)(7)
Medication List § 170.315(a)(8)
Medication Allergy List § 170.315(a)(9)
Smoking Status § 170.315(a)(12)
Implantable Device List § 170.315(a)(20)
Clinical Decision Support § 170.315(a)(10)
Computerized Provider Order Entry § 170.315(a)(1), (2) or (3)
Clinical Quality Measures § 170.315(c)(1)
Transitions of Care § 170.315(b)(1)
Data Portability § 170.315(b)(6)
Application Access to Common Clinical Data Set § 170.315(g)(7)
Direct Project § 170.315(h)(1) or Direct Project, Edge Protocol, and
XDR/XDM § 170.315(h)(2)
adopt a CEHRT definition in 42 CFR
495.4 that would cover all relevant
compliance timelines (i.e., specify the
CEHRT definition applicable for each
year/EHR reporting period) and EHR
Incentive Programs requirements. The
CEHRT definition proposed by CMS
would also continue to point to the
relevant Base EHR definitions 221
adopted or proposed by ONC and to
other ONC-adopted and proposed
certification criteria relevant to the EHR
Incentive Programs. We refer readers to
EHR Incentive Programs Stage 3
proposed rule for further details
regarding the CEHRT definition
proposal.
3. Common Clinical Data Set Definition
We propose to revise the ‘‘Common
MU Data Set’’ definition in § 170.102.
We propose to change the name to
‘‘Common Clinical Data Set,’’ which
aligns with our approach throughout
this proposed rule to make the ONC
Health IT Certification Program more
open and accessible to other types of
health IT beyond EHR technology and
for health IT that supports care and
practice settings beyond those included
in the EHR Incentive Programs. To
effectively rename the Common MU
Data Set as the ‘‘Common Clinical Data
Set,’’ the Common MU Data Set
definition must be removed from the
CFR and the ‘‘Common Clinical Data
Set’’ definition must be added. This is
a procedural requirement and all
substantive changes to the definition
would only affect certification to the
2015 Edition. We also propose to change
references to the ‘‘Common MU Data
Set’’ in the 2014 Edition (§ 170.314) to
‘‘Common Clinical Data Set.’’
221 This is required by the HITECH Act under the
term ‘‘Qualified EHR’’ and references a
foundational set of certified capabilities all EPs,
eligible hospitals, and CAHs need to adopt.
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We propose to revise the definition to
account for the new and updated
standards and code sets we propose to
adopt in this proposed rule that would
improve and advance interoperability
through the exchange of the Common
Clinical Data Set. We also propose to
revise the definition to support patient
safety through clearly referenced data
elements and the inclusion of new
patient data. These proposed revisions
would not change the standards, codes
sets, and data requirements specified in
the Common Clinical Data Set for 2014
Edition certification. They would only
apply to a Health IT Module certified to
the 2015 Edition Health IT certification
criteria that reference the Common
Clinical Data Set.
Vocabulary Standards
We propose to include HL7 Version 3
(‘‘AdministrativeGender’’ and a
nullFlavor value) for sex, ‘‘Race &
Ethnicity—CDC’’ code system in PHIN
VADS and the OMB standard for race
and ethnicity, RFC 5646 for preferred
language, the September 2014 Release of
the U.S. Edition of SNOMED CT® for
problems and procedures, the February
2, 2015 monthly version of RxNorm for
medications and medication allergies,
LOINC® version 2.50 for laboratory
tests, and the LOINC® codes, metadata,
and relevant UCUM unit of measures
specified for vital signs as discussed
under the ‘‘vital signs, BMI and growth
charts’’ certification criterion in section
III.A.3 of this preamble. We note that for
race and ethnicity a Health IT Module
must be able to express both detailed
races and ethnicities according to the
‘‘Race & Ethnicity—CDC’’ code system
and the aggregate OMB code for each
race and ethnicity identified by the
patient.
We propose to include immunizations
in the ‘‘Common Clinical Data Set’’ for
2015 Edition certification. As described
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in more detail in the preamble for the
‘‘transmission to immunization
registries’’ certification criterion in
section III.A.3, the C–CDA Release 2.0
can support NDC codes as a
translational data element, but the CVX
code is required to accompany it. The
NDC code contains more information
than the CVX code, such as packaging
information, that can assist with
tracking for clinical trials and adverse
events. We believe that it would not be
a heavy burden to map from an NDC
code to a CVX code because a mapping
from NDC codes to CVX codes is
publicly available.222 Therefore, for the
purposes of including immunizations in
the ‘‘Common Clinical Data Set’’ for
2015 Edition certification,
immunizations would be required to be
coded according to the CVX code set
(HL7 Standard Code Set CVX—Vaccines
Administered, updates through
February 2, 2015) and the NDC code set
(NDC—Vaccine Codes, updates through
January 15, 2015) as part of the
‘‘Common Clinical Data Set.’’
Unique Device Identifier(s)
We also propose to include the
Unique Device Identifier(s) of a patient’s
Implantable Device(s) for certification to
the 2015 Edition. As discussed under
the ‘‘implantable device list’’
certification criterion, this information
leads to improved patient safety when
available to providers. By including this
information in the Common Clinical
Data Set, a Health IT Module certified
to criteria referencing the Common
Clinical Data Set would be capable of
exchanging this information and further
facilitating improvements in patient
safety.
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Assessment and Plan of Treatment,
Goals, and Health Concerns
We propose to include the
‘‘assessment and plan of treatment,’’
‘‘goals,’’ and ‘‘health concerns’’ in the
‘‘Common Clinical Data Set’’ for
certification to the 2015 Edition. The
‘‘assessment and plan of treatment,’’
‘‘goals,’’ and ‘‘health concerns’’ are
intended to replace the concept of the
‘‘care plan field(s), including goals and
instructions’’ which is part of the
‘‘Common MU Data Set’’ in the 2014
Edition. Based on conversations with
stakeholders, we are aware that the
‘‘care plan field(s), including goals and
instructions’’ may be interpreted in two
different ways. It might be interpreted to
mean the assessment, plan of care (for
222 https://www2a.cdc.gov/vaccines/iis/
iisstandards/vaccines.asp?rpt=ndc. See also: https://
www2a.cdc.gov/vaccines/iis/iisstandards/ndc_
tableaccess.asp.
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treatment), goals, and health concerns
documented for a single patient
encounter (in ambulatory settings) or for
the duration of an inpatient stay (in
inpatient settings). However, ‘‘care plan
field(s), including goals and
instructions’’ could also be interpreted
to mean a comprehensive shared care
plan that represents the synthesis and
reconciliation of multiple plans of care
(for treatment) produced by each
provider to address specific health
concerns. Stakeholders have indicated
that in implementation, they have
interpreted ‘‘care plan field(s), including
goals and instructions’’ in the ‘‘Common
MU Data Set’’ as the assessment, plan of
care (for treatment), goals, and health
concerns for a single patient encounter
or inpatient stay. These stakeholders
have expressed safety concerns that the
volume of data in a comprehensive care
plan can be so extensive that it may be
difficult for a provider to quickly
determine the information of value for
the patient for the given situation.
In consideration of this feedback, we
clarify that we intend ‘‘care plan
field(s), including goals and
instructions’’ to be a single provider’s
documentation of their assessment, plan
of treatment, goals, and health concerns
for the patient (this clarification applies
for 2014 Edition certification). We also
make this clarification to better align
with the terms used in the C–CDA
Release 2.0, which includes the
‘‘Assessment and Plan Section (V2),’’
‘‘Assessment Section (V2),’’ ‘‘Plan of
Treatment Section (V2),’’ ‘‘Goals
Section,’’ and ‘‘Health Concerns
Section.’’ In previous iterations of the
C–CDA, the ‘‘Plan of Treatment
Section’’ was called the ‘‘Plan of Care
Section,’’ which resulted in the same
level of confusion on whether the
information was intended to represent a
single encounter or the synthesis of
multiple encounters. For that reason,
the ‘‘Plan of Care Section’’ is now called
the ‘‘Plan of Treatment Section’’ to
indicate that it is intended to represent
a single encounter and not to be
confused with the ‘‘Care Plan document
template.’’
For certification to the 2015 Edition,
we propose to include in the Common
Clinical Data Set ‘‘assessment and plan
of treatment,’’ ‘‘goals,’’ and ‘‘health
concerns’’ data in accordance with the
C–CDA Release 2.0 ‘‘Assessment and
Plan Section (V2)’’ or both the
‘‘Assessment Section (V2)’’ and ‘‘Plan of
Treatment Section (V2);’’ the ‘‘Goals
Section;’’ and the ‘‘Health Concerns
Section.’’ In practice, health care
providers may document the assessment
and plan of treatment together or
separately, and the C–CDA Release 2.0
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provides for both modes of practice. We
understand that the C–CDA Release 2.0
permits both free-text and structured
documentation of the assessment, plan
of treatment, goals, and health concerns
information in the sections named
above. While we do not propose to
require that this information is
documented in a structured way, we
encourage health IT developers to allow
for structured documentation or tagging
that would allow a provider to choose
relevant pieces of assessment, plan of
treatment, goals, and health concerns
data that could be synthesized into a
comprehensive care plan. We note that
all proposed 2015 Edition certification
criteria that reference the ‘‘Common
Clinical Data Set’’ (e.g., the ToC
criterion) would therefore also require a
Health IT Module to be able to capture
‘‘assessment and plan of treatment,’’
‘‘goals,’’ and ‘‘health concerns’’ data.
We continue to believe in the value of
a comprehensive care plan and discuss
our proposal for a 2015 Edition
certification criterion for this
functionality in Section III.A.3 of the
preamble (see the ‘‘care plan’’
certification criterion). As stated above,
a comprehensive care plan may contain
a large volume of data that is
burdensome to transmit for the purposes
of sharing information relevant for a
single encounter or inpatient stay, and
thus we do not propose to include it in
the ‘‘Common Clinical Data Set’’
definition.
Alignment With Clinical Practice
We recognize that the data included
in the Common Clinical Data Set may
change over time. Therefore, we request
comment on ways in which we can
engage the public to keep the Common
Clinical Data Set relevant to clinical
practice.
4. Cross Referenced FDA Definitions
As discussed in our proposal for the
2015 Edition ‘‘implantable device list’’
certification criterion, we propose to
adopt in § 170.102 new definitions for
‘‘Implantable Device,’’ ‘‘Unique Device
Identifier,’’ ‘‘Device Identifier,’’ and
‘‘Production Identifier.’’ We propose to
adopt the same definitions already
provided to these phrases at 21 CFR
801.3. Again, we believe adopting these
definitions in our rule will prevent any
interpretation ambiguity and ensure that
each phrase’s specific meaning reflects
the same meaning given to them in the
Unique Device Identification System
final rule at 21 CFR 801.3.
Capitalization was purposefully applied
to each word in these defined phrases
in order to signal to readers that they
have specific meanings.
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1. Health IT Modules
IV. Provisions of the Proposed Rule
Affecting the ONC Health IT
Certification Program
A. Subpart E—ONC Health IT
Certification Program
We propose to replace the term ‘‘HIT’’
with the term ‘‘health IT’’ wherever it
may occur in subpart E. While ‘‘HIT’’ is
a term used in the HITECH Act, we
believe the term ‘‘health IT’’ offers more
clarity than ‘‘HIT’’ for stakeholders.
Similarly, we propose to replace the
‘‘ONC HIT Certification Program’’ with
‘‘ONC Health IT Certification Program’’
wherever it may occur in subpart E. In
referring to the certification program,
the term ‘‘health’’ is capitalized. We also
propose to remove § 170.553
‘‘Certification of health information
technology other than Complete EHRs
and EHR Modules’’ as we believe this
section is no longer relevant based on
our proposals for the ONC Health IT
Certification Program discussed in more
detail below.
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B. Modifications to the ONC Health IT
Certification Program
In the Voluntary Edition proposed
rule (79 FR 10929–30) we recited our
authority and the history of the ONC
Health IT Certification Program,
including multiple requests for
comment and significant feedback on
making the program more accessible to
health IT beyond EHR technology and
health care settings and practices not
directly tied to the EHR Incentive
Programs. With consideration of
stakeholder feedback and our policy
goals, we attempted to make the ONC
Health IT Certification Program more
open and accessible through a proposal
in the Voluntary Edition proposed rule
(79 FR 10918–20) to create MU and nonMU EHR Modules. We subsequently
determined that our proposal was not
the best approach (79 FR 54472–73).
Since that rulemaking, the HITPC has
issued recommendations supporting
certification for care/practice settings
beyond the ambulatory and inpatient
settings.223 We have also reconsidered
how best to structure the program and
make it open and accessible to more
types of health IT, health IT that
supports a variety of care and practice
settings, and programs that may
reference the ONC Health IT
Certification Program, including
Medicaid and Medicare payment
programs and various grant programs.
223 https://www.healthit.gov/facas/sites/faca/files/
TransmittalLetter_LTPAC_BH_Certification.pdf and
https://www.healthit.gov/facas/sites/faca/files/
HITPC_LTPAC_BH_Certification_
Recommendations_FINAL.pdf.
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We propose to rename EHR Modules
as Health IT Modules. To effectively
rename EHR Modules as Health IT
Modules, the EHR Module definition
must be removed from the CFR at
§ 170.102 and a ‘‘Health IT Module’’
definition must be added. This
proposed change would be effective on
the effective date of a subsequent final
rule, which would make this change
applicable for certification to the 2014
Edition and 2015 Edition (if adopted).
An EHR Module is defined in § 170.102
as any service, component, or
combination thereof that can meet the
requirements of at least one certification
criterion adopted by the Secretary. The
definition essentially covers any type of
technology that could be certified to one
or more certification criterion under the
ONC Health IT Certification Program.
As such, our proposed change will have
no substantive impact on the
technologies that might be, or have
been, certified under the ONC Health IT
Certification Program. We believe this
proposal best addresses the full range of
health IT that has and might be certified
to adopted certification criteria now and
in the future. This approach also gives
more appropriate attribution to
certifications issued to technologies that
would not generally be considered
‘‘EHR’’ functionality, such as
functionality provided by a HISP, HIE,
or LIS. The switch to ‘‘Health IT
Module’’ could also have long-term
practicality as the ONC Health IT
Certification Program evolves.
For technologies already certified to
the 2014 Edition as EHR Modules, this
proposal would not affect the
certification of those technologies or the
ability to use those technologies to meet
the CEHRT definition. Further, we see
no reason why these technologies could
not be called Health IT Modules if the
developer wished to do so. We suggest,
however, that health IT developers
check with the ONC–ACB that issued
the certification to ensure this would be
permissible based on the issued
certification.
We also emphasize that a Health IT
Module is simply the name for a
technology that gets issued a
certification under the ONC Health IT
Certification Program. One Health IT
Module certification or multiple Health
IT Modules certifications can be of
sufficient scope to meet the Base EHR
definition and even the CEHRT
definition.
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2. ‘‘Removal’’ of Meaningful Use
Measurement Certification
Requirements
We propose to not require ONC–ACBs
to certify Health IT Modules to the 2015
Edition ‘‘meaningful use measurement’’
certification criteria (§ 170.315(g)(1)
‘‘automated numerator recording’’ and
§ 170.315(g)(2) ‘‘automated measure
calculation’’). This is a change from
prior certification policy, such as with
the certification of technology to the
2014 Edition and the requirements of
§ 170.550(f)(1). We believe this will
make the ONC Health IT Certification
more accessible to the certification of
health IT for other purposes beyond the
EHR Incentive Programs. Further, we
have received feedback from
stakeholders that these requirements
can pose a significant burden on health
IT development and come at the cost of
improving clinical functionality and
usability (79 FR 54469). We have also
heard from stakeholders that these
criteria can impact innovation. Whether
this feedback is entirely accurate is not
the primary reason for our changed
approach. Rather, we believe that not all
health IT certified under the ONC
Health IT Certification Program needs to
have these capabilities and that it is
more appropriate to align our approach
to these criteria with our primary policy
of administering a certification program
that includes certification criteria that
broadly support the health care system,
while making available for health IT
developers the flexibility to present
their health IT for certification to the
criteria that support their specific
customers’ and providers’ needs.
We emphasize that this proposed
approach does not preclude health IT
developers from seeking certification to
§ 170.315(g)(1) or (2) in support of their
customers’ and provider’s needs related
to the EHR Incentive Programs.
Moreover, the EHR Incentive Programs
Stage 3 proposed rule, published
elsewhere in this issue of the Federal
Register, includes a proposed CEHRT
definition that would require EPs,
eligible hospitals, and CAHs to have
health IT certified to these criteria in
order to meet the CEHRT. Accordingly,
health IT developers supporting
providers participating the EHR
Incentive Programs should strongly
consider seeking certification to these
certification criteria, as applicable.
3. Types of Care and Practice Settings
As noted above, the HITPC issued
recommendations generally supporting
certification for a variety of care and
practice settings under the ONC Health
IT Certification Program, particularly
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focusing on long-term post-acute care
(LTPAC) and behavioral health settings.
Consistent with those
recommendations, we have made
proposals to make the ONC Health IT
Certification Program more agnostic to
care and practice settings (e.g., the
proposals to revise § 170.300 and
‘‘remove’’ ‘‘meaningful use
measurement’’ certification
requirements) and we have proposed
new ‘‘data segmentation’’ certification
criteria (§§ 170.315(b)(7) and (8)) that
include capabilities that can support
care and practice settings that service
patients with sensitive health
information, including behavioral
health.
In the Voluntary Edition final rule (79
FR 54473), we pointed stakeholders to
the guidance we issued in 2013 for
health IT developers serving providers
ineligible for the EHR Incentives
Programs. The guidance, ‘‘Certification
Guidance for EHR Technology
Developers Serving Health Care
Providers Ineligible for Medicare and
Medicaid EHR Incentive Payments,’’ 224
was developed in close coordination
with HHS agencies, including the
Substance Abuse and Mental Health
Services Administration (SAMHSA).
The guidance is designed for
certification to the 2014 Edition and
focuses on two key area,
interoperability-focused certification
criteria (highlighting the ‘‘transitions of
care’’ and ‘‘clinical information
reconciliation’’ criteria as criteria that
support interoperable summary care
record exchange—a fundamental
capability necessary to enable care
coordination across different settings)
and privacy and security certification
criteria. The HITPC similarly concluded
that LTPAC and behavioral health
providers should focus on adopting
health IT certified to these capabilities
(certification criteria).225
The 2015 Edition includes many
certification criteria with the same
capabilities as those certification criteria
identified in the 2014 guidance, but
with new and/or enhanced
functionality. As one pertinent example,
the 2015 Edition ‘‘transitions of care’’
certification criterion (§ 170.315(b)(1))
includes capabilities for formatting a
care/referral summary according to the
Common Clinical Data Set and the C–
CDA Release 2.0. The C–CDA Release
2.0 includes new document templates
224 https://www.healthit.gov/sites/default/files/
generalcertexchangeguidance_final_9-9-13.pdf.
225 https://www.healthit.gov/facas/sites/faca/files/
TransmittalLetter_LTPAC_BH_Certification.pdf and
https://www.healthit.gov/facas/sites/faca/files/
HITPC_LTPAC_BH_Certification_
Recommendations_FINAL.pdf.
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for: Care Plan; Referral Note; Transfer
Summary, and new sections for: Goals;
Health Concerns; Health Status
Evaluation/Outcomes; Mental Status;
Nutrition; Physical Findings of Skin and
new entries (e.g. Wound Observation)
that may be particularly beneficial to
providers that serves medically-complex
patients with chronic care conditions.
As to privacy and security, we highlight
that our new proposed approach in this
rule focuses on ensuring that all health
IT presented for certification is certified
to the appropriate privacy and security
certification criteria. Overall, we have
proposed a diverse edition of health IT
certification criteria with capabilities
included that could support a wide
range of providers practicing in various
settings.
We anticipate that, similar to the 2014
Edition guidance, we would issue
general interoperability guidance for the
2015 Edition when it becomes final.
However, we have no plans to
independently develop and issue
certification ‘‘paths’’ or ‘‘tracks’’ by care
or practice setting (e.g., a ‘‘LTPAC
certification’’) as it would be difficult to
independently devise such ‘‘paths’’ or
‘‘tracks’’ in a manner that was sure to
align with other relevant programs and
specific stakeholder needs. Rather, we
believe we are best suited for supporting
the development of standards for
specific settings/use cases and
providing technical assistance to both
health IT developers and providers
about the certification criteria, the
standards and capabilities they include,
and the processes of the ONC Health IT
Certification Program. In this regard, we
would welcome working with HHS or
other agencies, or provider associations,
in identifying the appropriate
functionality and certification criteria to
support their stakeholders, including
jointly developing specialized
certification ‘‘paths’’ or ‘‘tracks.’’ To
note, we believe this approach is also
consistent with stakeholder feedback we
received through rulemaking (79 FR
54473–74) and the HITPC
recommendations for us to work with
HHS and other agencies.
We seek comment on potential future
certification criteria that could include
capabilities that would uniquely
support LTPAC, behavioral health, or
pediatrics care\practice settings, as well
as other settings. We are specifically
interested in public comment on
whether certification criteria focused on
patient assessments (e.g., Minimum
Data Set (Nursing Homes), OASIS
(Home Health), IRF–PAI (Inpatient
Rehabilitation Facility), or Long Term
Care Hospital (CARE data set) would
support key functionality needed in
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these settings and if there standards
mature enough for structured patient
assessments. Similarly, we seek
comment on whether certification
criteria focused on patient assessments
for behavioral health settings would be
of value to health IT developers and
health care providers.
4. Referencing the ONC Health IT
Certification Program
Our proposals throughout this
proposed rule, including the proposed
adoption of various criteria that support
functionality for different care and
practice settings and the proposals to
make the ONC Health IT Certification
Program open and accessible to more
types of health IT and health IT that
supports a variety of care and practice
settings, would permit further
referencing and use of certified health
IT.
Currently, in addition to the EHR
Incentive Programs, the adopted
certification criteria editions already
support and are referenced by other
HHS programs (e.g., the CMS and HHS
Office of Inspector General (OIG) final
rules to modify the Physician SelfReferral Law exception and Antikickback Statute safe harbor for certain
EHR donations (78 FR 78751) and (78
FR 79202), respectively).226 Certified
health IT has also been referenced in
CMS payment rules such as the CY 2015
Physician Fee Schedule final rule (79
FR 67721–28) for chronic care
management services and in a proposed
rule (79 FR 61186) encouraging the use
of certified health IT by home health
agencies. The Department of Defense
has also referenced certified health IT in
a request for proposal for its Healthcare
Management System Modernization
Program.227 In the private sector, The
Joint Commission requires the use of
certified health IT to participate as an
Outcomes Research Yields Excellence
(ORYX) vendor and submit electronic
clinical quality measures on behalf of
hospitals.228
The proposed 2015 Edition and
proposed open and flexible certification
processes in this proposed rule would
continue to facilitate the efforts
226 CMS final rule, ‘‘Medicare Program;
Physicians’ Referrals to Health Care Entities With
Which They Have Financial Relationships:
Exception for Certain Electronic Health Records
Arrangements’’ (78 FR 78751) (December 27, 2013).
OIG final rule, ‘‘Medicare and State Health Care
Programs: Fraud and Abuse; Electronic Health
Records Safe Harbor Under the Anti-Kickback
Statute’’ (78 FR 79202) (December 27, 2013).
227 https://www.fbo.gov/index?s=opportunity&
mode=form&id=573cfbaa71e7843341a7c145888c48
e0&tab=core&_cview=1.
228 https://www.jointcommission.org/assets/1/18/
2015_eCQM_Vendor_List.pdf. (page 3).
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described above as well as other
ongoing and future efforts to reference
and use certified health IT.
C. Health IT Module Certification
Requirements
1. Privacy and Security
We propose a new approach for
privacy and security (P&S) certification
to the 2015 Edition. In our past
rulemakings, we have discussed and
instituted two different policy
approaches and sought comment on
others for ensuring that health IT and
providers have privacy and security
capabilities while also trying to
minimize the level of regulatory burden
imposed on health IT developers. In the
2011 Edition, we included an upfront
requirement that required Health IT
Modules to meet all P&S certification
criteria as a condition of certification
unless the health IT developer could
demonstrate that certain P&S
capabilities were either technically
infeasible or inapplicable. In the 2014
Edition, we eliminated the upfront
requirement for each Health IT Module
to be certified against the P&S criteria in
favor of what we thought would better
balance the burden potentially posed by
our rulemaking. Thus, the P&S criteria
were made part of the ‘‘2014 Edition
Base EHR definition’’ that all EPs, EHs,
and CAHs must meet in order to satisfy
the CEHRT definition (meaning each
provider needed, post-certification to
ultimately have technology certified to
the P&S criteria).
On March 23, 2013, the HITSC
recommended that we should change
our certification policy for P&S. They
recommended that each Health IT
Module presented for certification
should be certified through one or more
of the following three paths:
• Demonstrate, through system
documentation and certification testing,
that the Health IT Module includes
functionality that meets at least the
‘‘minimal set’’ 229 of privacy and
security certification criterion.
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229 The minimal set includes the following
certification criteria: ‘‘authentication, access
control, and authorization,’’ ‘‘auditable events and
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• Demonstrate, through system
documentation sufficiently detailed to
enable integration, that the Health IT
Module has implemented service
interfaces that enable it to access
external services necessary to conform
to the ‘‘minimal set’’ of privacy and
security certification criterion.
• Demonstrate through
documentation that the privacy and
security certification criterion (and the
minimal set that the HITSC defined) is
inapplicable or would be technically
infeasible for the Health IT Module to
meet. In support of this path, the HITSC
recommended that ONC develop
guidance on the documentation
required to justify inapplicability or
infeasibility.
In response to the HITSC
recommendations and stakeholder
feedback we sought comment in the
Voluntary Edition proposed rule (79 FR
10925–26) on the following four options
we believed could be applied to Health
IT Module certification for privacy and
security: (1) Re-adopt the 2011 Edition
approach; (2) maintain the 2014 Edition
approach; (3) adopt the 2013 HITSC
recommendation; or (4) adopt a limited
applicability approach—under which
ONC would establish a limited set of
P&S functionality that every Health IT
Module would be required to address in
order to be certified.
In response to our request for
comments, we received comments
generally in support of the 2014
approach (including P&S in the Base
EHR definition). While some
commenters supported requiring a
subset of P&S criteria (option 4), many
disagreed on the scope and did not see
the value vis-a-vis HIPAA compliance.
The HITSC preferred a different option.
They recommended that ONC revise
each privacy and security criterion to
specify the conditions under which it is
applicable (similar to how the end-user
device encryption criterion currently is
tamper resistance,’’ ‘‘audit report(s),’’
‘‘amendments,’’ ‘‘automatic log-off,’’ ‘‘emergency
access,’’ ‘‘end-user device encryption,’’ and
‘‘integrity.’’ The full recommendation can be found
at: https://www.healthit.gov/sites/default/files/
pswgtransmittalmemo_032613.pdf.
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16875
written), and allow each criterion to be
met using one of the three paths the
HITSC recommended in 2013.230
During their discussions regarding the
Voluntary Edition proposed rule, the
HITSC’s Privacy and Security
Workgroup (PSWG) completed an
assessment of which P&S functionality
should be required for each proposed
certification criterion. The PSWG
recognized that the privacy and security
criteria are not equally applicable or
useful to every criterion in each of the
other regulatory functional areas (i.e.,
clinical, care coordination, clinical
quality, patient engagement, public
health, utilization, and transmission)
because each P&S criterion is designed
to address specific risk conditions that
may or may not be present within a
specific regulatory functional area.
The PSWG model allows for the
appropriate safeguards to be in place for
each criterion, without overburdening
health IT developers by requiring them
to include all P&S functionality for each
criterion. We believe this serves as a
good model, in combination with the
2013 HITSC recommendations, to
propose a new, simpler, straight-forward
approach to the P&S certification
requirements for Health IT Modules that
merges many of the recommendations
and feedback we have received to date.
Under the proposed approach, a health
IT developer would know exactly what
it needed to do in order to get its Health
IT Module certified and a purchaser of
a Health IT Module would know exactly
what privacy and security functionality
against which the Health IT Module had
to be tested in order to be certified.
We propose to require that an ONC–
ACB must ensure that a Health IT
Module presented for certification to
any of the certification criteria that fall
into each regulatory text ‘‘first level
paragraph’’ category (e.g., § 170.315(a))
of § 170.315 identified below is certified
to either approach 1 (technically
demonstrate) or approach 2 (system
documentation) as follows:
230 https://www.healthit.gov/sites/default/files/
pswgtransmittalmemo_032613.pdf.
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If the Health IT Module includes
capabilities for certification listed
under:
It will need to be certified to approach 1 or approach 2 for each of the P&S certification criteria listed in the
‘‘approach 1’’ column
Approach 1
Approach 2
§ 170.315(a) ..................................
§ 170.315(d)(1) (authentication, access control, and
authorization), (d)(2) (auditable events and tamper
resistance), (d)(3) (audit reports), (d)(4) (amendments),
(d)(5)
(automatic
log-off),
(d)(6)(emergency access), and (d)(7) (end-user
device encryption).
For each applicable P&S certification criterion not
certified for approach 1, there must be system
documentation sufficiently detailed to enable integration such that the Health IT Module has implemented service interfaces for each applicable privacy and security certification criterion that enable
the Health IT Module to access external services
necessary to meet the privacy and security certification criterion.
§ 170.315(b) ..................................
§ 170.315(d)(1) through (d)(3) and (d)(5) through
(d)(8) (integrity).
§ 170.315(d)(1) through (d)(3).
§ 170.315(d)(1) through (d)(3), (d)(5), and (d)(7).
§ 170.315(d)(1) through (d)(3) and (d)(7).
§ 170.315(d)(1) through (d)(3).
§ 170.315(d)(1) through (d)(3) and (d)(5) through
(d)(8).
§ 170.315(c) ..................................
§ 170.315(e) ..................................
§ 170.315(f) ...................................
§ 170.315(h) ..................................
§ 170.315(i) ...................................
To illustrate approach 1 of privacy
and security certification, if a Health IT
Module is presented for certification to
§ 170.315(a)(5) (‘‘demographics’’), then
the Health IT Module must also be
certified to § 170.315(d)(1) through (7).
We refer readers to Appendix A of this
proposed rule for a listing of the P&S
certification requirements for each 2015
Edition criterion under approach 1.
Because we have explicitly proposed
which P&S certification criteria would
be applicable to the associated criteria
adopted in each regulatory text ‘‘first
level paragraph’’ category and have also
proposed approach 2, we have not
proposed to permit the 2011 Edition
policy of allowing for a criterion to be
met through documentation that the
criterion is inapplicable or would be
technically infeasible for the Health IT
Module to meet.
We seek comment on the overall
clarity and feasibility of this approach.
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2. Design and Performance
(§ 170.315(g))
We propose to revise § 170.550 to add
paragraph (g), which would require
ONC–ACBs to certify Health IT Modules
to certain proposed certification criteria
under § 170.315(g). We propose to
require ONC–ACBs to certify Health IT
Modules to § 170.315(g)(3) (safetyenhanced design) and § 170.315(g)(6)
(Consolidated CDA creation
performance) consistent with the
requirements included in these criteria.
Paragraph (g) also includes a
requirement for ONC–ACBs to certify all
Health IT Modules presented for
certification to the 2015 Edition to
§ 170.315(g)(4) (quality system
management) and (g)(8) (accessibilitycentered design). The proposed
certification requirements for
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§ 170.315(g)(3) and (4) maintain the
policy approach established with
certification to the 2014 Edition (see
§ 170.550(f)(2) and (3)), which ensures
Health IT Modules, as applicable, are
certified to these specific safety and
quality certification criteria. The
proposed certification requirements for
§ 170.315(g)(6) is associated with the
new ‘‘Consolidated CDA creation
performance’’ criterion we have
proposed for the 2015 Edition and
discuss in more detail in section III.A.3
of this preamble. Again, the requirement
is similarly designed to ensure that
Health IT Modules (with Consolidated
CDA creation capabilities within their
scope) are also certified to the
‘‘Consolidated CDA creation
performance’’ criterion. The proposed
certification requirements for
§ 170.315(g)(8) is associated with the
new ‘‘accessibility-centered design’’
criterion we have proposed for the 2015
Edition and discuss in more detail in
section III.A.3 of this preamble. This
criterion and approach to certification is
patterned after the 2014 Edition ‘‘quality
system management’’ criterion.
D. Principles of Proper Conduct for
ONC–ACBs
1. ‘‘In-the-Field’’ Surveillance and
Maintenance of Certification
We propose to adopt new
requirements for ‘‘in-the-field’’
surveillance under the ONC Health IT
Certification Program. Our proposal
would build on ONC–ACBs’ existing
surveillance responsibilities by
requiring ONC–ACBs to initiate in-thefield surveillance of certified Complete
EHRs and certified Health IT Modules
in certain circumstances and in
accordance with certain standards and
procedures described below. Our
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proposal would also clarify ONC–ACBs’
responsibilities for requiring certified
Health IT Module and certified
Complete EHR developers to take
corrective action in instances where the
technology fails to conform to the
requirements of its certification. We
believe these proposed requirements
would promote greater consistency,
transparency, and rigor in the
surveillance of certified capabilities in
the field. They would also provide
ONC–ACBs, health IT developers, and
users of certified health IT subject to
surveillance with greater clarity and
predictability regarding this important
aspect of the ONC Health IT
Certification Program.
Our proposal focuses on ONC–ACBs’
responsibilities for conducting
surveillance ‘‘in the field.’’ In-the-field
surveillance is already a requirement of
the ONC Health IT Certification
Program 231 and is among the most
231 We explicitly recognized an ‘‘in-the-field
surveillance’’ requirement in the Proposed
Establishment of Certification Programs for Health
Information Technology; Proposed Rule, 75 FR
11328 (Mar 10, 2010), wherein we proposed that an
ONC–ACB would be required to ‘‘evaluate and
reevaluate previously certified Complete EHRs and/
or EHR Modules to determine whether [they]
continued to perform in an acceptable, if not the
same, manner in the field as they had performed
when they were certified.’’ 75 FR 11349 (emphasis
added). We finalized this requirement in the
Establishment of the Permanent Certification for
Health Information Technology; Final Rule, 76 FR
1262 (Jan. 7, 2011) (hereinafter ‘‘PCP Final Rule’’).
Subsequently, we issued initial and annual
guidance to ONC–ACBs clarifying our
interpretation of the requirements for in-the-field
surveillance under the ONC HIT Certification
Program, the preparation and submission of ONC–
ACBs’ annual surveillance plans, and the reporting
of surveillance results to the National Coordinator
on an annual basis. See ONC HIT Certification
Program Guidance #13–01 (July 2013), available at
https://www.healthit.gov/sites/default/files/onc-acb_
2013annualsurveillanceguidance_final_0.pdf; see
also ONC HIT Certification Program Guidance #14–
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important responsibilities with which
an ONC–ACB is charged. It is rooted in
the need to provide assurance to
purchasers, implementers, and users
that certified Complete EHRs and
certified Health IT Modules not only
meet the requirements of certification in
a controlled testing environment but
will continue to do so when
implemented and used in a production
environment. This basic assurance
protects the integrity of the ONC Health
IT Certification Program and federal
health IT investments by enabling
individuals to rely upon certifications
issued on behalf of ONC to select
appropriate technologies and
capabilities; identify potential
implementation or performance issues;
and implement certified health IT in a
predictable, reliable, and successful
manner.232 The need to evaluate
certified health IT in the field is
particularly important for capabilities
related to interoperability, patient
safety, and privacy and security, which
present special implementation
challenges, complexities, or risks.233
Recognizing that in-the-field
surveillance presents technical,
operational, and other challenges, we
have previously avoided prescribing
specific requirements in this area;
instead we have provided guidance to
ONC–ACBs and encouraged them to
develop and refine their own
approaches to surveillance. We continue
to regard such flexibility as important
for minimizing the burden of
surveillance on all stakeholders and
ensuring that ONC–ACBs’ approaches to
surveillance reflect their unique
expertise and judgment. However, we
also believe that establishing certain
minimum expectations and procedures
for in-the-field surveillance could
provide ONC–ACBs as well as health IT
01 (July 2014), available at https://www.healthit.gov/
sites/default/files/onc-acb_
cy15annualsurveillanceguidance.pdf.
232 See, e.g., FDASIA Health IT Report: Proposed
Strategy and Recommendations for a Risk-Based
Framework (April 2014) (draft for public comment)
(hereinafter ‘‘FDASIA Report’’), available at https://
www.fda.gov/downloads/AboutFDA/
CentersOffices/
OfficeofMedicalProductsandTobacco/CDRH/
CDRHReports/UCM391521.pdf, at § 5.3.2 (‘‘For the
consumer, ONC certification provides purchasing
clarity and assurance that the certified EHR product
meets certain criteria and/or functions in a certain
way.’’)
233 See, e.g., FDASIA Report, supra, at section
5.2.1 (‘‘Errors in communication due to inadequate
interoperability, such as the transmission of test
results inaccurately or for the wrong patient, do
occur and can lead to patient harm.’’); ONC HIT
Certification Program Guidance #13–01, supra, at 3–
4 (prioritizing surveillance for safety-related
capabilities); Health IT Safety Plan, supra, at 14
(discussing incorporation of health IT safety in
post-market surveillance of certified EHR
technology).
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developers and users with greater clarity
and predictability regarding this
important aspect of the ONC Health IT
Certification Program. Accordingly, we
propose the following additional
requirements for in-the-field
surveillance under the ONC Health IT
Certification Program.
‘‘In-The-Field Surveillance’’ Defined
Our proposal explicitly defines in-thefield surveillance to mean an ONC–
ACB’s assessment of whether a certified
Complete EHR or certified Health IT
Module to which it has issued a
certification continues to conform to the
certification’s requirements once
implemented and in use in the field.
This assessment would, by definition,
require the ONC–ACB to assess the
certified Complete EHR or certified
Health IT Module’s capabilities in a
production environment. The
assessment of a capability would be
based on the use of the capability with
protected health information (PHI)
unless the use of test data would
provide an equivalent assessment of the
capability and were specifically
approved by the National
Coordinator.234
The following hypothetical scenarios
illustrate our proposed approach.
• Scenario 1: An ONC–ACB initiates
in-the-field surveillance for a certified
Health IT Module for the medication list
certification criterion (proposed at 45
CFR 170.315(a)(8)). An ONC–ACB
would then assess this capability at
several locations at which the certified
Health IT Module has been
implemented. The ONC–ACB would
assess whether the implemented
capability can electronically record,
change, and access one or more patients’
active medication lists and medication
histories as required by the certification
criterion.
• Scenario 2: An ONC–ACB initiates
in-the-field surveillance for a certified
Health IT Module’s transitions of care
capability and one or more applicable
transport certification criteria (proposed
at 45 CFR 170.315(b)(1) and (h),
respectively). During this surveillance,
the ONC–ACB would assess these
capabilities at several locations at which
the certified Health IT Module is
implemented to determine whether
234 In consultation with the Office for Civil
Rights, we have clarified that under the ‘‘health
oversight agency’’ exception of the HIPAA Privacy
Rule, a healthcare provider would be permitted to
disclose protected health information (PHI) to an
ONC–ACB during the course of authorized in-thefield surveillance activities, without patient
authorization and without a business associate
agreement. See ONC Regulation FAQ #45 [12–13–
045–1], available at https://www.healthit.gov/policyresearchers-implementers/45-question-12-13-045.
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these certified capabilities perform in
compliance with the applicable
certification criteria.
• Scenario 3: An ONC–ACB initiates
in-the-field surveillance for a certified
Health IT Module related to the data
portability criterion adopted at 45 CFR
170.314(b)(7). Again, the ONC–ACB
would need to assess at several
locations at which the Health IT Module
is implemented whether the certified
Health IT Module’s data portability
capability performed in compliance
with the certification criterion.
As these scenarios illustrate, an ONC–
ACB’s evaluation of health IT in the
field must focus on compliance with
one or more certification criteria to
which a Complete EHR or Health IT
Module is certified. Such compliance
must be assessed in the production
environment in which the Complete
EHR or Health IT Module is actually
implemented and used.
Because certified Complete EHRs and
certified Health IT Modules will be
integrated with other systems,
processes, and people, we acknowledge
that the unique circumstances and
contexts in which a certified Complete
EHR or certified Health IT Module
operates could impact an ONC–ACB’s
ability to assess whether it continues to
perform in compliance with adopted
certification criteria once it has been
implemented and in use. For example,
if during in-the-field surveillance an
ONC–ACB observed that the certified
capability did not perform in a
compliant manner, the ONC–ACB
would need to determine whether the
failure was the result of a problem with
the certified capability or, alternatively,
whether the failure was caused entirely
by other factors beyond the scope of
certification, such as a configuration or
implementation issue (for which the
user was primarily responsible) or the
failure of a third-party technology or
service over which the health IT
developer had limited or no control.
Further, we recognize that the
assessment of a certified Complete EHR
or certified Health IT Module in a
production environment would require
ONC–ACBs to employ different
methodologies than testing and
certification in a controlled
environment. Given the additional
factors and complexities described
above, there could be situations in
which an in-person site visit is the best
or perhaps the only reliable means of
evaluating whether health IT, as
implemented in the field, conforms to
the requirements of its certification.
However, in general, we expect that
ONC–ACBs should be able to effectively
assess certified capabilities ‘‘in the
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field’’ using other remote methods that
would not involve in-person site visits.
We believe that such methods may be
less intrusive for health care providers,
less costly or burdensome for ONC–
ACBs, or offer other benefits. Therefore,
we request comment on these and other
approaches to in-the-field surveillance,
on ways to minimize the burden and
costs of in-the-field surveillance for
ONC–ACBs and health care providers,
and on appropriate industry standards
or best practices that we should
consider adopting to provide ONC–
ACBs with consistent, objective, and
reliable methods for conducting these
evaluations.
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Duty To Initiate In-The-Field
Surveillance
In addition to defining in-the-field
surveillance, this proposal would
require ONC–ACBs to initiate in-thefield surveillance in at least two sets of
circumstances. These two separate
requirements—which we refer to as
‘‘reactive’’ and ‘‘randomized’’ in-thefield surveillance—are discussed in
detail below. Together they would
implement sections 7.9.2 and 7.9.3 of
ISO/IEC 17065 (the standard to which
ONC–ACBs are accredited under the
ONC HIT Certification Program), which
provide that surveillance ‘‘shall include
periodic surveillance . . . to ensure
ongoing validity of the demonstration of
fulfilment of [] requirements.’’ 235 As
such, the requirements would become
part of the ‘‘certification scheme’’ for
purposes of ISO/IEC 17065 and would
therefore be directly enforceable by the
ONC–AA, which is responsible for
accrediting ONC–ACBs and verifying
their conformance to ISO/IEC 17065 and
other program requirements.
Reactive Surveillance
To satisfy the proposed ‘‘reactive’’
surveillance requirement, an ONC–ACB
would be required to initiate in-the-field
surveillance whenever it becomes aware
of facts or circumstances that call into
question a certified Complete EHR or
certified Health IT Module’s continued
conformance to the requirements of its
certification. This reactive surveillance
requirement aligns with ONC–ACBs’
existing annual surveillance plans,
which should specify how an ONC–
ACB will ‘‘[s]ystematically obtain and
synthesize feedback from users of
[health IT] that the ONC–ACB has
certified to determine if certain
capabilities should be evaluated with
the [health IT] developer or with the
235 ISO/IEC 17065:2012, available at https://
www.iso.org/iso/catalogue_
detail.htm?csnumber=46568.
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user in the field, or both.’’ 236 We
anticipate that such feedback would
include (although not be limited to)
complaints received from existing and
prospective users and implementers of
the Complete EHRs and Health IT
Modules the ONC–ACB has certified.
We clarify that the receipt of a single
complaint would not automatically
trigger an ONC–ACB’s duty to initiate
in-the-field surveillance. In general, an
ONC–ACB would be required to
consider and weigh the volume,
substance, and credibility of complaints
received against the type and extent of
the alleged non-conformance, in light of
the ONC–ACB’s expertise and
experience with the particular
capabilities, health IT, and certification
criteria at issue.
We also propose as part of ‘‘reactive’’
surveillance that an ONC–ACB must
consider the impact and effect of the
disclosures made by a Complete EHR or
Health IT Module developer on the
product’s continued conformance to
adopted certification criteria. We have
proposed this additional review because
we believe there are additional factors
and circumstances that an ONC–ACB
will be unable to assess at the time the
health IT was initially certified based on
tests completed by the developer in a
controlled environment. For example,
the ONC–ACB may determine that
while a health IT developer’s Complete
EHR or Health IT Module demonstrated
it could perform a required capability in
a controlled environment, users in the
field cannot reasonably access or use the
capability because the health IT
developer does not make the capability
available; substantially restricts or limits
its use; or has not disclosed known
material information about the
implementation or use of the capability.
These and other practices, such as those
discussed in our proposal
‘‘Transparency and Disclosure
Requirements’’ below, could
substantially interfere with the
performance of certified capabilities in
the field and creates a substantial risk
that existing or prospective users will
encounter problems implementing the
capability in a manner consistent with
a Complete EHR or Health IT Module’s
certification. As a result, we have
proposed that as part of ‘‘reactive’’
surveillance ONC–ACBs evaluate the
disclosures in connection with, and in
the context of, the certified capability/
capabilities under surveillance to gain a
full understanding of the way in which
the product performs in the field.
236 ONC HIT Certification Program Guidance #13–
01, supra, at 3.
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We clarify our expectation that ONC–
ACBs could render a certified Complete
EHR or certified Health IT Module nonconformant to the certification criteria
in instances where the developer does
not make the capability available;
substantially restricts or limits its use;
or has not disclosed known material
information about the implementation
or use of the capability. We also note
that we expect ONC–ACBs to give
considerable weight to complaints or
other indications that a developer has
failed meet the disclosure requirements
of § 170.523(k)(1).
Consistent with current practice, we
expect that the National Coordinator
will continue to prioritize certain
certification criteria for purposes of
surveillance. For example, certification
criteria may be prioritized based on the
special implementation challenges or
risks associated with certain
capabilities, especially those related to
interoperability, patient safety, and
privacy and security. ONC–ACBs would
be required to give special scrutiny to
complaints about capabilities or
disclosures related to these prioritized
certification criteria. If an ONC–ACB
detected a pattern or trend of such
complaints, it would be required to
initiate in-the-field surveillance to
investigate the complaints and the
extent of any non-conformance with the
requirements of a certified Complete
EHR or certified Health IT Module’s
certification.
Finally, for the reasons discussed
earlier in this proposal and immediately
below in our proposal ‘‘Transparency
and Disclosure Requirements,’’ during
reactive surveillance of a certified
Complete EHR or Health IT Module in
the field, an ONC–ACB would need to
verify that the health IT developer has
satisfied the mandatory disclosure
requirements currently and proposed a
§ 170.523(k)(1), as applicable, for the
certification criteria that are the subject
of the ONC–ACB’s surveillance.
Randomized Surveillance
Separate from the reactive
surveillance described above, we also
propose to require ONC–ACBs to
conduct ‘‘randomized’’ surveillance of
the Complete EHRs and Health IT
Modules they have certified. We believe
randomized surveillance will serve two
important purposes: First, it will enable
ONC–ACBs to identify nonconformities
that are difficult to detect through
complaint-based or other reactive forms
of surveillance. Second, it will enable
ONC–ACBs to detect patterns of nonconformance that indicate a more
widespread or recurring problem
requiring a more comprehensive
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corrective action plan, as discussed
below. For these reasons, we believe
that randomized surveillance will
complement reactive surveillance and
strengthen the overall surveillance of
certified health IT under the ONC
Health IT Certification Program.
Under our proposal, an ONC–ACB
would be required to conduct
randomized surveillance of prioritized
certification criteria (as described in the
context of reactive surveillance earlier
in this proposal). Focusing on these
prioritized certification criteria would
maximize the impact and minimize any
associated costs or burdens of
randomized surveillance. For the same
reason, ONC–ACBs would be required
to not select certified Complete EHRs
and certified Health IT Modules that
were selected for randomized
surveillance at any time within the
preceding twelve months. 237
To satisfy the proposed randomized
surveillance requirement, an ONC–ACB
would be required during each calendar
year to randomly select at least 10% of
the Complete EHRs and Health IT
Modules to which it has issued a
certification. For each certified
Complete EHR or certified Health IT
Module selected, the ONC–ACB would
initiate in-the-field surveillance at the
lesser of 10 or 5% of locations at which
the Complete EHR or Health IT Module
is implemented and in use in the field.
• Example: A Health IT Module is in
use at 1,000 locations. Five percent of
1,000 locations equals 50 locations,
which is greater than 10 locations.
Therefore, the ONC–ACB must evaluate
the Health IT Module at a minimum of
10 locations.
• Example: A Health IT Module is in
use at 100 locations. Five percent of 100
locations equals 5 locations, which is
less than 10 locations. Therefore the
ONC–ACB must evaluate the Health IT
Module at a minimum of 5 locations.
The locations would need to be
selected at random by the ONC–ACB
from a list of all locations at which the
certified Complete EHR or certified
Health IT Module is implemented.
Where practicable, the sample would
need to reflect a diversity of practice
types, sizes, settings, and locales.
Similar to reactive surveillance, if in
the course of randomized surveillance
an ONC–ACB finds that a certified
237 This screening requirement would apply only
for the purpose of randomized surveillance. The
ONC–ACB would still be expected to initiate
reactive and other surveillance, including in-thefield surveillance, as necessary to ensure that the
Complete EHRs and Health IT Modules it has
certified continue to perform in an acceptable
manner and meet all certification program
requirements.
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Complete EHR or certified Health IT
Module is non-conformant at one or
more locations at which surveillance
takes place, the ONC–ACB must take
appropriate action with the health IT
developer, consistent with the ONC–
ACB’s accreditation, to remedy the
nonconformity.
In addition to addressing individual,
potentially one-off, nonconformities, an
ONC–ACB would also be required to
evaluate the overall results of any
certified Complete EHR or certified
Health IT Module that is subjected to
randomized surveillance. If the ONC–
ACB finds a pattern of nonconformity—
defined as a failure to demonstrate
conformance to any prioritized
certification criterion at 20% or more of
the locations surveilled—the ONC–ACB
would regard these results as deficient
and would need to require the health IT
developer to submit a corrective action
plan to address the apparent widespread
or recurring issue. Upon making such
determination, an ONC–ACB would be
required to contact the health IT
developer and require that it submit a
proposed corrective action plan to the
ONC–ACB. The corrective action plan
would be required to include, at a
minimum, for each certification
criterion or required disclosure for
which the health IT was deemed
deficient:
• A description of the identified
deficiencies;
• an assessment of how widespread
or isolated the identified deficiencies
may be;
• how the developer will address the
identified conformance deficiencies in
general and at the locations under
which surveillance occurred; and
• the timeframe under which
corrective action will be completed.
The ONC–ACB would require the
health IT developer to submit a
proposed corrective action plan to the
ONC–ACB within 30 days of the date
that the developer was notified by the
ONC–ACB of the deficiency or
deficiencies above. In general, ONC–
ACBs would be responsible for
prescribing the required form and
content of corrective action plans,
consistent with the general elements
required above, and for developing
specific procedures for the submission
and approval of corrective action plans.
ONC may also issue guidance to ensure
consistency across ONC–ACBs
corrective action procedures.
Consistent with an ONC–ACB’s
accreditation and procedures for
suspending a certification, an ONC–
ACB would be permitted to initiate
certification suspension procedures for
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a Complete EHR or Health IT Module if
the heath IT developer thereof:
• Does not submit a proposed
corrective action plan to the ONC–ACB
within 30 days of being notified of its
deficient surveillance results;
• does not comply with the ONC–
ACB’s directions for addressing any
aspects of the proposed corrective
action plan that do not meet the
requirements of the ONC–ACB or the
ONC Health IT Certification Program; or
• does not complete an approved
corrective action plan within 6 months
of approval of the plan by the ONC–
ACB.
Following the suspension of a
certified Complete EHR or certified
Health IT Module’s certification for the
reasons above, an ONC–ACB would be
permitted to initiate certification
termination procedures for the
Complete EHR or Health IT Module
(consistent with its accreditation to ISO/
IEC 17065 and procedures for
terminating a certification) should the
developer not complete the actions
necessary to reinstate the suspended
certification.
Reporting of Surveillance Results
Under our proposal, ONC–ACBs
would be required to report the results
of in-the-field surveillance to the
National Coordinator on at least a
quarterly basis. This requirement would
reduce the time between when
surveillance is initiated and when
results are submitted to ONC. Currently
under the ONC Health IT Certification
Program, ONC–ACBs are not required to
submit surveillance results for as long as
14 months after initiating in-the-field
surveillance—a significant limitation in
our ability to be responsive, including
providing relevant information to
stakeholders.
Upon requiring a corrective action
plan for a certified Complete EHR or
certified Health IT Module, an ONC–
ACB would be required to report the
corrective action plan and related data
to the publicly accessible open data
CHPL, as detailed below in our proposal
‘‘Open Data Certified Health IT Product
List (CHPL).’’ The purpose of this
reporting requirement, as described in
that proposal, would be to ensure that
health IT users, implementers, and
purchasers are alerted to potential
conformance issues in a timely and
effective manner, consistent with the
patient safety, program integrity, and
transparency objectives described
subsequently in this proposed rule.
To implement the new requirements
for in-the-field surveillance outlined in
this proposal, we propose to add
§ 170.556 (In-the-field surveillance and
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maintenance of certification for health
IT). We would also amend § 170.503
(ONC–AA Ongoing Responsibilities)
and § 170.523 (ONC–ACB Principles of
Proper Conduct) consistent with the
requirements described in this proposal
and the related proposals
‘‘Transparency and Disclosure
Requirements’’ and ‘‘Open Data
Certified Health IT Product List (CHPL)’’
below. The requirements would provide
a floor only, and would in no way limit
an ONC–ACB’s ability or responsibility
to conduct additional surveillance,
including in-the-field surveillance,
according to the requirements of its
accreditation and the ONC Health IT
Certification Program. As we have done
in the past, we would continue to give
ONC–ACBs substantial flexibility and
discretion to decide how to implement
these requirements as part of their
overall approach to surveillance. ONC–
ACBs would continue to describe their
surveillance programs in their annual
surveillance plans, which must be
submitted to the National Coordinator
prior to the covered calendar year
surveillance period. We would also
continue to provide annual surveillance
guidance to ONC–ACBs, and other
guidance or programmatic direction as
needed.
At the time of this proposed rule,
ONC–ACBs have submitted their annual
surveillance plans for calendar year
2015, which include their existing
approaches and methodologies for
randomized surveillance. To minimize
disruption to ONC–ACBs’ current
surveillance activities, we propose to
phase in the requirements proposed at
§ 170.556(c) for randomized
surveillance. As such, the randomized
surveillance requirements would
become effective beginning January 1,
2016, enabling ONC–ACBs to
implement these new requirements in
their next annual surveillance plans and
incorporate additional guidance and
clarification from ONC and the ONC–
AA. All other new requirements for inthe-field surveillance—i.e., the
requirements proposed at § 170.556(a),
(b), and (d)—would be effective
immediately; we would expect ONC–
ACBs to implement these requirements
within 3 months of the effective date of
a subsequent final rule. We request
comment on whether this timeline and
plan for implementation is appropriate
and on ways to minimize disruption
and ensure that the requirements and
purpose of this proposal are timely and
effectively achieved.
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2. Transparency and Disclosure
Requirements
We propose to revise the principles of
proper conduct for ONC–ACBs in order
to provide for greater and more effective
disclosure by health IT developers of
certain types of limitations and
additional types of costs that could
interfere with the ability to implement
or use health IT in a manner consistent
with its certification. We believe that
these additional disclosure
requirements are necessary to ensure
that existing and potential users and
implementers of certified health IT are
fully informed about these
implementation considerations that
accompany capabilities certified under
the ONC Health IT Certification
Program.
In the 2014 Edition final rule, we
adopted new ‘‘price transparency’’
requirements that require ONC–ACBs to
ensure that health IT developers
include—on their Web sites and in all
marketing materials, communications,
and other assertions related to certified
health IT—any ‘‘additional types of
costs’’ that an EP, eligible hospital, or
CAH would pay to implement certified
health IT capabilities in order to meet
meaningful use objectives and measures
(§ 170.523(k)(1)(iii)). 238 We stated that
238 77 FR 54273–75. For example, under our
current disclosure requirements, if health IT is
certified to the ‘‘view, download, and transmit to
3rd party’’ certification criterion, and an EP would
be expected to pay an ‘‘ongoing’’ monthly service
fee to the technology developer for it to host/
administer this capability in order for the EP to
meet the correlated meaningful use objective and
measure, the existence of this potential ‘‘ongoing’’
cost (though not the actual amount or ‘‘dollar
value’’ of the cost itself) would need to be disclosed
by the health IT developer. As another example, a
Health IT Module certified to the public health
electronic lab reporting certification criterion
(§ 170.314(f)(4)) would be able to create a valid HL7
message for electronic submission. However, for the
purposes of achieving meaningful use a hospital
may be expected to pay their technology developer
a separate ‘‘one-time’’ and/or ‘‘ongoing’’ interface
development and configuration fee to establish
connectivity between their certified Health IT
Module and a public health authority. In such a
situation, the potential costs of the interface
development and configuration fee would need to
be disclosed (though, again, the developer would
not be required to disclose the actual ‘‘dollar
amount’’ of the fee). A final example would be
where a health IT developer charges a ‘‘one-time’’
fee to integrate its certified health IT with a
hospital’s other certified technology or a health
information exchange organization. Again, just like
the other examples, the potential for this fee (but
not the ‘‘dollar amount’’ itself) would need to be
disclosed by the technology developer. Building off
these examples, we said that a health IT developer
could meet the disclosure requirements by
disclosing: 1) the type(s) of additional cost; and 2)
to what the cost is attributed. In reference to the
first example above, we stated that a developer
could meet our price transparency requirement by
disclosing that ‘‘an additional ongoing fee may
apply to implement XYZ online patient service.’’ In
situations where the same types of cost apply to
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there is value in requiring ONC–ACBs to
ensure that developers are transparent
about the types of costs associated with
certified health IT and that such
transparency could provide greater
purchasing clarity to EPs, eligible
hospitals, and CAHs (77 FR 54274). In
regard to purchasing clarity, we further
stated that this disclosure requirement
could help prevent purchasers from
being surprised by additional costs
beyond those associated with the
adoption and implementation of
capabilities certified as part of their
certified health IT (77 FR 54275). With
this requirement and other transparency
requirements under § 170.523(k)(1), we
have sought to mitigate potential
confusion in the marketplace and
reduce the risk that consumers will
encounter unexpected difficulties in the
implementation and use of certified
health IT.
Notwithstanding these modest
disclosure requirements, many health IT
consumers still have limited access to
certain types of information necessary to
accurately assess the potential costs,
benefits, limitations, and trade-offs of
alternative technologies and
solutions.239 This is especially true for
small health care providers and other
individuals and organizations who may
not have the time, resources, or
expertise to conduct extensive market
research.240 Health care and health IT
industry participants and observers
describe a marketplace in certified
health IT products and services that is
largely opaque and in which consumers
often lack up-front information about
the products and services they purchase
or license. For example, the American
Medical Association (AMA) has
expressed concern on behalf of its
provider members about ‘‘the lack of
transparency in EHR contracts,’’ which
‘‘may be unclear or fail to itemize
specific expenses’’ associated with
certified health IT capabilities.241 The
different services, we stated that listing each as part
of one sentence would be acceptable, such as ‘‘a
one-time fee is required to establish interfaces for
reporting to immunization registries, cancer
registries, and public health agencies.’’
239 See, e.g., Jodi G. Daniel & Karson Mahler,
Promoting Competition to Achieve Our Health IT
and Health Care Goals (Oct. 7, 2014), https://
www.healthit.gov/buzz-blog/health-informationexchange-2/promoting-competition-achievehealthit-health-care-goals/.
240 See, e.g., Kelly Devers, Arnav Shah, and
Fredric Blavin, How Local Context Affects
Providers’ Adoption and Use of Interoperable
Health Information Technology: Case Study
Evidence from Four Communities in 2012 (Round
One) (2014), at 7 (describing significant challenges
faced by smaller providers dealing with certified
EHR vendors, including ‘‘understanding vendor
contracts that were very complex.’’)
241 FTC Workshop, Submission #00151 on behalf
of the American Medical Association (April 30,
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AMA further noted that while ONC has
taken steps to promote greater contract
transparency, these efforts have fallen
short, ‘‘leaving broad discretion and
uncertainty’’ in the marketplace for
certified health IT products.242
Other observers have described
practices that may interfere with the
performance of certified health IT
capabilities in ways that are not obvious
to consumers at the time they purchase
or license technology or services. For
example, some health IT contracts may
restrict a health care provider’s ability to
use data contained within an EHR 243
require health care provider staff to
complete costly developer-imposed
training and accreditation programs
before they are allowed to extract
patient data; or impose ‘‘access and use
agreements’’ that restrict a provider’s
ability to ‘‘engage a third party to assist
with extracting and using data to benefit
patients . . . .’’ 244 Some developers also
purportedly charge ‘‘additional fees to
allow providers to extract patient data
from their systems, even though the
marginal cost of providing that data is
small. 245 In addition, as discussed
elsewhere in this proposed rule,
Congress has expressed concern that
some health IT developers of certified
health IT may be engaging in business
practices that block health information
exchange and thereby frustrate
congressional intent, devalue taxpayer
investments in health IT, and make
health IT less valuable and more
burdensome for eligible hospitals and
eligible providers to use.246
We do not assume that examples cited
above are typical or widespread. Yet it
must be acknowledged that even ONC
has but limited visibility into
developers’ business practices and
cannot reliably assess the extent to
which such practices are occurring or
the degree to which they may be
interfering with the successful
implementation and use of certified
health IT. That acknowledgement alone
2014), available at https://www.ftc.gov/system/files/
documents/public_comments/2014/04/00151–
89996.pdf (accessed Dec. 19, 2014).
242 Id.
243 FTC Workshop, Submission #00187 on behalf
of the Advisory Board Company (April 30, 2014),
available at https://www.ftc.gov/system/files/
documents/public_comments/2014/04/0018789979.pdf (accessed Dec. 19, 2014).
244 Id.
245 FTC Workshop, Submission #00045 on behalf
of the Health IT Now Coalition (March 10, 2014),
available at https://www.ftc.gov/system/files/
documents/public_comments/2014/03/0004588879.pdf (accessed Dec. 19, 2014).
246 160 Cong. Rec. H9047, H9839 (daily ed. Dec.
11, 2014) (see explanatory statement submitted by
Rep. Rogers, chairman of the House Committee on
Appropriations, regarding the Consolidated and
Further Continuing Appropriations Act, 2015).
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should be a sufficient indication of the
need to require greater transparency in
the marketplace.247
The prevailing lack of transparency
raises several specific and serious
concerns. Most importantly, health IT
developers not disclosing known
material limitations or additional types
of costs associated with the
implementation or use of certified
health IT creates a substantial risk that
existing or prospective users will
encounter problems implementing the
capabilities of the health IT in a manner
consistent with its certification. This in
turn diminishes the reliability of
certifications issued under the ONC
Health IT Certification Program.
Moreover, inadequate or incomplete
information about health IT products
and services distorts the marketplace for
certified health IT, for without reliable
information consumers cannot
accurately estimate costs and assess
capabilities in order to effectively
compare technologies and choose
appropriate solutions for their
individual circumstances or needs.248
Poor health IT purchasing decisions
increase the likelihood of downstream
implementation challenges and,
ultimately, reduced opportunities to use
health IT to improve health and health
care. Finally, consumers who purchase
or license inappropriate or suboptimal
technologies may find it difficult to
switch to superior alternatives due to
the often significant financial and other
resources they have already invested in
implementation, training, integration
with other IT systems, new clinical and
administrative processes, and the many
other costs and organizational changes
associated with implementing health IT.
When providers become ‘‘locked in’’ to
technologies or solutions that do not
247 We recognize that there is value in
encouraging developers to experiment, innovate,
and compete to deliver products and services that
consumers demand and also to price and distribute
such products and services in ways that consumers
find attractive and that meet the needs of individual
customers. Our proposal to require greater
transparency in developers’ business practices is
intended not to limit but to promote such price and
non-price innovation and competition by providing
individuals who purchase or license certified health
IT with access to basic information necessary to
make informed decisions in the marketplace.
248 Compare American Academy of Family
Physicians, Understanding EHR Contracting and
Pricing, https://www.aafp.org/practice-management/
health-it/product/contracting-pricing.html
(accessed Dec 7, 2014) (noting that there are ‘‘many
different ways of pricing EHR software’’ and that to
‘‘compare ‘apples to apples’’’ potential purchasers
need to consider many variables when selecting an
EHR) with FTC Workshop, Submission #00151 on
behalf of the American Medical Association (April
30, 2014) (expressing concern about ‘‘lack of
transparency in EHR vendor contracts’’ and ‘‘broad
discretion and uncertainty’’ despite ONC efforts to
promote greater transparency).
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meet their needs or the needs of their
patients, health IT developers may have
fewer incentives to innovate and
compete on those aspects of health IT
that these consumers most value.
For all of these reasons, we propose
to revise the principles of proper
conduct for ONC–ACBs in order to
supplement and strengthen our existing
transparency and disclosure
requirements under the ONC Health IT
Certification Program. As currently set
forth in § 170.523(k), ONC–ACBs must
require health IT developers to disclose
conspicuously on their Web sites and in
all marketing materials,
communications statements, and other
assertions related to certified health IT
any additional types of costs 249 that an
EP, eligible hospital, or CAH would pay
to implement certified health IT to meet
meaningful use objectives and
measures. We propose to carry forward
and expand these requirements as
follows.
First, we would no longer limit health
IT developers’ disclosure obligations to
the scope of the EHR Incentive
Programs. In the context of our
proposals in this proposed rule to make
the ONC Health IT Certification Program
open and accessible to more types of
health IT and to health IT that support
various care and practice settings
beyond the EHR Incentive Programs, we
believe that disclosure requirements
should go beyond a link to the EHR
Incentive Programs. Consumers are
increasingly seeking to leverage certified
health IT for a wide range of uses
beyond the EHR Incentive Programs,
such as to support care coordination
with other types of health care providers
as part of new quality improvement
initiatives and public and private sector
value-based payment programs. These
consumers of certified health IT need
reliable information associated with
implementing and using health IT for all
of these uses, not just those that are tied
to a meaningful use objective or
measure. Likewise, as the ONC Health
IT Certification Program begins to focus
on supporting these new users and uses,
it will be important to ensure that
certification is meaningful and that
surveillance is effective for all certified
health IT and capabilities, not just those
249 Costs vary widely across different developers,
products, and services. They may include but are
not limited to the cost of purchasing or licensing
necessary equipment and software; installing,
configuring, maintaining, and updating technology;
training staff and integrating technology into
clinical workflows; securing and backing up data;
licensing information or services used in
conjunction with technology; and establishing
interfaces or connectivity to other IT systems. Costs
may also be incurred on a ‘‘one time’’ or on a
‘‘recurring’’ or ‘‘ongoing’’ basis.
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that that are directly tied to the EHR
Incentive Programs. For these reasons,
we would require ONC–ACBs to ensure
that developers disclose any ‘‘additional
types of costs’’ that a user may incur in
order to implement or use capabilities of
certified health IT, whether to
demonstrate meaningful use objectives
or measures or for any other purpose
within the scope of the health IT’s
certification.
Second, the important reasons we
have described above for requiring
greater transparency and disclosure
convince us that we must move beyond
our current focus on identifying
additional types of costs and consider
other factors that may similarly interfere
with a user’s ability to successfully
implement certified health IT. In
particular, the failure to disclose
material information about limitations
associated with certified health IT
creates a substantial risk that current or
prospective users will encounter
problems implementing certified health
IT in a manner consistent with its
certification. From the perspective of
both ONC and the consumer, therefore,
the disclosure of this information is no
less important than the disclosure of
information about additional types of
costs. Accordingly, we propose to add
this additional category of information
to those which a health IT developer
must disclose.
Third, to ensure that these disclosure
requirements serve their intended
purpose, we propose that developers’
disclosures be broader and provide
greater detail than is currently required.
In contrast with our current price
transparency requirement, which
requires disclosure only of additional
types of costs that a user ‘‘would pay’’
to implement certain capabilities, our
proposal would require health IT
developers to be more proactive in
identifying the kinds of limitations and
additional types of costs that a user may
pay or encounter in order to achieve any
use within the scope of a Complete EHR
or Health IT Module’s certification. For
example, we expect that health IT
developers would disclose any
additional types of costs or limitations
that may be based on potential
conditions applicable to the user or
options available to the user. This
would be different than the current
‘‘would pay’’ requirement that focuses
on more definitive circumstances. We
believe that it is reasonable to require
health IT developers to identify this
information because they are uniquely
familiar with the costs and limitations
of their own products and services and
possess sophisticated technical
knowledge related to the
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implementation and use of health IT in
a variety of settings in which their
products are services are deployed.
Health IT developers would therefore
be required to provide, in plain
language, a detailed description of any
material information about limitations
that a purchaser may encounter and
additional types of costs that a user may
be required to pay in the course of
implementing or using capabilities to
achieve any use within the scope of the
its certification. Such information
would be ‘‘material’’ (and its disclosure
therefore required) if the failure to
disclose it could substantially interfere
with the ability of a user or prospective
user to implement certified health IT in
a manner consistent with its
certification.
To illustrate our expectations as to the
types of information that health IT
developers would be required to
disclose, we provide the following list
of types of limitations and additional
types of costs that would always be
‘‘material’’ and required to be disclosed.
We seek comment on whether we
should revise or add to the types of
information delineated below, including
whether we should require the
disclosure of more specific cost
structures (e.g., the cost structure of a
health IT developer’s for sending
transitions of care summaries, including
all relevant factors—e.g., volume
transmissions, geography, interfaces,
and exchange partner technology).
• Additional types of costs or fees
(whether fixed, recurring, transactionbased, or otherwise) imposed by a
developer (or any third-party from
whom the developer purchases,
licenses, or obtains any technology,
products, or services in connection with
its certified health IT) to purchase,
license, implement, maintain, upgrade,
use, or otherwise enable and support the
use of capabilities to which health IT is
certified; or in connection with any data
generated in the course of using any
capability to which health IT is
certified.
• Limitations, whether by contract or
otherwise, on the use of any capability
to which technology is certified for any
purpose within the scope of the
technology’s certification; or in
connection with any data generated in
the course of using any capability to
which health IT is certified.
• Limitations, including but not
limited to technical or practical
limitations of technology or its
capabilities, that could prevent or
impair the successful implementation,
configuration, customization,
maintenance, support, or use of any
capabilities to which technology is
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certified; or that could prevent or limit
the use, exchange, or portability of any
data generated in the course of using
any capability to which technology is
certified.
Because this proposal would
significantly expand a health IT
developer’s existing disclosure
obligations, we further clarify our
expectations regarding what a health IT
developer would and would not be
required to disclose. A health IT
developer would not be required to
disclose specific prices or price
information. The health IT developer
would be required, however, to describe
with particularity the nature and
magnitude of any additional types of
costs, providing sufficient detail from
which a person could arrive at a
reasonably accurate estimation of what
the likely costs might be, given the
person’s circumstances and intended
use of the capabilities within the
certified health IT. For example, if a
health IT developer charged a fee every
time a user wished to send a transition
of care summary record to another user
of certified health IT, the health IT
developer would be required to fully
disclose not only the existence of the fee
but the circumstances in which it would
apply. The health IT developer would
also be required to provide additional
information to assist the user in
realistically estimating what the cost
would be to use the transitions of care
capability. The health IT developer
could satisfy this requirement by
providing data illustrating that there are
levels of costs for different types of
users (e.g., users who send a ‘‘low,’’
‘‘medium,’’ or ‘‘high’’ number of
summary of care records per month).
Alternatively, the health IT developer
could indicate that for most (e.g., nine
out of every ten) of its users, transaction
fees represent less than 1% of a user’s
total monthly service costs. Other
methods of disclosure would also
suffice, provided they were similarly
calculated and likely to inform.
Health IT developers would not be
required to disclose trade secrets or
intellectual property. Similar to the
disclosure of information about
additional types of costs, health IT
developers could describe other types of
limitations in terms that protect their
intellectual property interests and trade
secrets. Generalized assertions of
‘‘proprietary information’’ would not
immunize a developer, however, from a
finding by an ONC–ACB that the
developer failed to disclose known
material information.
Health IT developers would not be
required to disclose information of
which they are not and could not
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reasonably be aware. In particular, we
recognize that health IT functions in
combination with many third party
technologies and services whose
specific costs/limitations may be
difficult for a health IT developer to
precisely predict or ascertain. Local
implementation factors and other
individual circumstances also vary
substantially among customers and
impact the cost and complexity of
implementing certified health IT. In
addition, the costs of upgrading health
IT to meet new regulatory requirements
or compliance timelines, which are
subject to change, may make some
particular types of additional costs
especially difficult to forecast. While we
do not expect health IT developers to
account for every conceivable cost or
implementation hurdle that a customer
may encounter in order to successfully
implement and use the capabilities of a
developer’s certified health IT, we
believe it reasonable to assume that
health IT developers are experts in their
own products and services and possess
sophisticated technical knowledge
related to the implementation and use of
health IT in a variety of settings in
which their products are used. Through
their accumulated experience
developing and providing health IT
solutions to their customers, health IT
developers should over time become
familiar with the types of costs and
limitations that most users encounter,
and should be able to describe these in
sufficient detail so as to provide
potential customers with the
information they need to make informed
purchasing and implementation
decisions. We also believe that it is
reasonable to expect that a health IT
developer would provide a detailed
description of any additional
considerations that a customer should
be aware of in order to reliably estimate
the resources needed to purchase the
certified health IT and arrive at a
realistic expectation of the product’s
capabilities and performance in the
field, to the extent that the health IT
developer has knowledge of the
customer’s circumstances and based on
its range of experience (including with
other customers).
We propose one additional aspect that
we believe will complement the
mandatory disclosure requirements set
forth in this proposal. In addition to
requiring health IT developers to
disclose known material information
about their certified health IT, an ONC–
ACB would be required to obtain a
voluntary public attestation from every
health IT developer to which it issues or
has at any previous time issued a
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certification for any edition of certified
health IT. The attestation would take the
form of a written ‘‘pledge’’ by the health
IT developer to be transparent with
regard to the information it is required
to disclose under the ONC Health IT
Certification Program. Specifically, the
health IT developer would be required
to attest that, in addition to disclosing
such information via its public Web site,
marketing materials, communications
statements, and other assertions related
to certified health IT, it will voluntarily
provide this information to: (1)
Customers, prior to providing any
certified health IT or related product or
service (including subsequent updates,
add-ons, or additional products or
services to be provided during the
course of an on-going contract); (2)
prospective customers (i.e., persons who
request or receive a quotation, estimate,
or other similar marketing or
promotional material); and (3) other
persons who request such information.
To be clear, this attestation would not
broaden or change the types of
information that a health IT developer
would be required to disclose as a
condition of certification, nor the
persons to whom such information
would have to be disclosed. While all
health IT developers would be required
to make the attestation, their adherence
to it would be strictly voluntary, and an
ONC–ACB would continue to hold
health IT developers only to the
mandatory disclosure requirements
already described above in this proposal
and proposed at § 170.523(k)(1).
Although the attestation would not
establish any new regulatory disclosure
obligations for health IT developers, it
would create a powerful incentive for
health IT developers to go beyond what
is strictly required of them by regulation
and to be more transparent about their
health IT products, services, and
business practices. The attestation
would accomplish this goal by publicly
committing health IT developers to
make a good faith effort to ensure that
consumers actually receive the
information that developers are required
to disclose at such times and in such a
manner as is likely to be useful in
informing their health IT purchasing or
licensing, implementation, and other
decisions.
In particular, health IT developers
would be required to attest publicly that
they will provide information about
their certified health IT to any person
who requests it. This would empower
not only existing or prospective
customers but all consumers and their
representatives (e.g., providers’
professional associations) to approach
developers directly and request
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information that is most relevant to
consumers’ health IT purchasing or
licensing, and implementation
decisions. We believe that as a result
consumers will come to expect greater
transparency from health IT developers
in general, and that developers, having
publicly attested that they will provide
this information, will have a stronger
interest in doing so in order to protect
their reputations. Moreover, health IT
developers who are the most transparent
and provide the most meaningful
information about their products and
services will be able to differentiate
themselves from their competitors,
creating additional incentives for other
developers to be more transparent.
Attestation will, by encouraging
greater interaction between health IT
developers and all consumers, provide
important feedback to developers about
the types of information that consumers
find important, and which are therefore
likely to be material for purposes of
health IT developers’ mandatory
disclosure obligations under the ONC
Health IT Certification Program. For
example, requests for information and
other feedback from consumers may
alert a health IT developer to the fact
that it has failed to disclose (or to
disclose with sufficient specificity)
material information about a particular
limitation or additional type of cost
associated with its certified health IT.
By encouraging consumers to make such
inquiries, the proposed attestation
requirement will assist health IT
developers in meeting their disclosure
obligations.
Overall, we believe these proposed
requirements will enable more
transparency in the marketplace for
certified health IT, provide consumers
with greater and more ready access to
information relevant to their health IT
planning, purchasing, and
implementation decisions, and reduce
the risk of implementation problems
and surprise described in this proposal.
3. Open Data Certified Health IT
Product List (CHPL)
In the initial rulemaking that we used
to establish the Temporary Certification
Program, we indicated that the National
Coordinator intended to make a master
CHPL of all Complete EHRs and EHR
Modules tested and certified by ONC–
ATCBs available on the ONC Web site
and that the CHPL would be a public
service and would be a single, aggregate
source of all the certified product
information ONC–ATCBs provide to the
National Coordinator (75 FR 36170).
Since 2010, we have maintained the
CHPL and as the ONC Health IT
Certification Program has matured,
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ONC–ACBs have continued to report the
products and information about the
products they have certified to ONC for
listing on the CHPL.
As part of the 2014 Edition final rule
(77 FR 54271), we required additional
transparency in the ONC Health IT
Certification Program in the form of a
hyperlink that ONC–ACBs needed to
maintain that would enable the public
to access the test results that the ONC–
ACB used as the basis for issuing a
certification. In the time post-final rule,
the NVLAP Accredited Testing
Laboratories (ATLs) and ONC–ACBs
worked together to develop a standard
test results summary template for
consistent data presentation and use
throughout the ONC Health IT
Certification Program. For all 2014
Edition products certified under the
ONC Health IT Certification Program,
the test result summary is accessible
and can be found as part of the
product’s detailed information page on
the CHPL Web page.
The test result summary includes
granular detail from ATLs about the
testing performed, including, among
other information: The certification
criteria tested; the test procedure, test
data, and test tool versions used during
testing for each certification criterion;
instances where optional portions of
certification criteria were tested; and
which standard was used for testing
when a certification criterion allowed
for more than one standard to be used
to meet the certification criterion. The
test result summary also includes the
user-centered design information and
summative tests results applicable to a
product in cases where it was required
to meet the ‘‘safety-enhanced design’’
certification criterion (§ 170.314(g)(3)) in
order to ultimately be certified.
Multiple stakeholders have
commented to us that while the
availability of the test report summary
and the addition detail it contains is
beneficial, its location on the CHPL and
its overall accessibility as a PDF makes
it difficult to use for any kind of product
analysis. In response to this feedback
and our overall vision to efficiently
administer the CHPL in the future, we
intend to convert the CHPL in its
current form to an open data file
represented in both XML and JSON and
with accompanying API functionality.
We estimate that this conversion along
with the future additional data
collection we have proposed for 2015
Edition certifications will occur over the
next 12 to 18 months.
To complement this conversion, we
propose to require ONC–ACBs to report
an expanded set of information to ONC
for inclusion in the open data file that
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would make up the CHPL. Specifically,
we propose to revise § 170.523(f) to
move the current (f) to (f)(2) and to
create a new paragraph (f)(1) that would
require ONC–ACBs upon issuing a 2015
Edition (or any subsequent edition
certification) to report on the same data
elements they report to ONC under
§ 170.523(f), the information contained
in the publicly available test report, and
additional data. The data that would be
required is as follows:
• The Health IT Module developer
name; product name; product version;
developer Web site, physical address,
email, phone number, and contact
name;
• The ONC–ACB Web site, physical
address, email, phone number, and
contact name, contact function/title;
• The ATL Web site, physical
address, email, phone number, and
contact name, contact function/title;
• Location and means by which the
testing was conducted (e.g., remotely
with developer at its headquarters
location);
• The date(s) the Health IT Module
was tested;
• The date the Health IT Module was
certified;
• The unique certification number or
other specific product identification;
• The certification criterion or criteria
to which the Health IT Module has been
certified, including the test procedure
and test data versions used, test tool
version used, and whether any test data
was altered (i.e., a yes/no) and for what
purpose;
• The way in which each required
privacy and security criterion was
addressed for the purposes of
certification (note: this is proposed to
track the privacy and security
certification proposal for Health IT
Modules);
• The standard or mapping used to
meet the quality management system
certification criterion;
• The standard(s) or lack thereof used
to meet the accessibility-centered design
certification criterion;
• Where applicable, the hyperlink to
access an API’s documentation and
terms of use;
• Where applicable, which
certification criteria were gap certified;
• Where applicable, if a certification
issued was a result of an inherited
certified status request;
• Where applicable, the clinical
quality measures to which the Health IT
Module has been certified;
• Where applicable, any additional
software a Health IT Module relied
upon to demonstrate its compliance
with a certification criterion or criteria
adopted by the Secretary;
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• Where applicable, the standard(s)
used to meet a certification criterion
where more than one is permitted;
• Where applicable, any optional
capabilities within a certification
criterion to which the Health IT Module
was tested and certified;
• Where applicable, and for each
applicable certification criterion, all of
the information required to be
submitted by Health IT Module
developers to meet the safety-enhanced
design certification criterion (note: This
would include each user-centered
design element required to be reported
at a granular level (e.g., task success/
failure)); and
• Where applicable, for each instance
in which a Health IT Module failed to
conform to its certification and for
which a corrective action plan was
instituted under § 170.556:
Æ The specific certification criterion
or certification program requirement
(e.g., required disclosure) to which the
health IT failed to conform as
determined by the ONC–ACB;
Æ the dates surveillance was initiated
and when available, completed;
Æ the results of the surveillance (pass
rate for each criterion);
Æ the number of sites that were used
in surveillance;
Æ the date corrective action began;
Æ when available, the date corrective
action ended;
Æ a summary of the deficiency or
deficiencies identified by the ONC–ACB
as the basis for its determination of nonconformance; and
Æ when available, the developer’s
explanation of the deficiency or
deficiencies identified by the ONC–ACB
as the basis for its determination of nonconformance.
Consistent with ONC–ACBs’ current
reporting practice required by
§ 170.523(f), ONC–ACBs would be
required to submit the additional data
listed above no less frequently than
weekly. Because this expanded list of
data would largely subsume the data
included in the test results summary,
we would no longer require for 2015
Edition and subsequent edition
certifications that ONC–ACBs provide a
publicly accessible hyperlink to the test
results used to certify a Health IT
Module.
The last category of data above would
be reportable for Complete EHRs and
Health IT Modules that have been
designated for corrective action as
described in our proposal ‘‘‘In-the-field’
Surveillance and Maintenance of
Certification’’ above. Under that
proposal, an ONC–ACB would be
required to initiate a corrective action
plan for a Complete EHR or Health IT
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Module when randomized in-the-field
surveillance reveals a pattern of nonconformance to any prioritized
certification criterion. Under this Open
Data CHPL proposal, the initiation of
corrective action would trigger the duty
to report the surveillance-related
information specified in the last
category above for inclusion in the open
data file. This reporting requirement
would be separate from and in addition
to the ‘‘rolling’’ (i.e., at least quarterly)
reporting of all surveillance results
described in our in-the-field
surveillance proposal referenced above.
The purpose of this separate reporting
requirement would be to ensure that
health IT users, implementers, and
purchasers are alerted to potential
conformance issues in a timely and
effective manner, consistent with the
patient safety, program integrity, and
transparency objectives described in
this proposed rule. By incorporating
data on health IT that has failed
surveillance in the open data file, such
information would be updated and
available to the public at least weekly.
Combined with the API functionality
described above, such data could also be
used more effectively by patient safety,
consumer, and other organizations to
analyze and disseminate information
about product safety and performance.
Our rationale with respect to the
reporting of data for health IT that has
failed surveillance applies to all, and
not only 2015 Edition, certified health
IT. Accordingly, we propose to revise
new § 170.523(f)(2) (formerly
§ 170.523(f)) so as to also require the
reporting of this surveillance-related
data for health IT certified to the 2014
Edition.
In submitting this data related to
surveillance of certified health IT, ONC–
ACBs would be required to exclude any
information that would identify any
user or location that participated in or
was subject to surveillance (as currently
required for ONC–ACBs’ annual
surveillance results reported to the
ONC).
None of the reporting requirements
above would require (or authorize) an
ONC–ACB to submit or disclose health
IT developer’s proprietary business
information or trade secrets. ONC–ACBs
would be required to implement
appropriate safeguards to ensure that
any proprietary business information or
trade secrets of the health IT developer
the ONC–ACB might encounter during
the course of its surveillance activities
would be kept confidential by the ONC–
ACB and protected from disclosure.
With respect to the safety-enhanceddesign data, as stated in our proposal for
the 2015 Edition ‘‘safety-enhanced
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design’’ certification criterion (section
III.A.3 of this preamble), we do not
expect health IT developers to include
proprietary information in the
submission of summative usability test
results to ONC–ACBs. Accordingly,
ONC–ACBs would not be required and
should take care not to submit
proprietary information to ONC for
inclusion in the open data file.
Similarly, with respect to the reporting
of surveillance information for health IT
for which corrective action has been
initiated, an ONC–ACB would be able to
meet the requirement to report a
summary of the deficiencies leading to
its determination that health IT no
longer conforms to the requirements of
its certification without disclosing
information that the ONC–ACB believes
could be proprietary or expose it to
liability. Should we adopt this proposal,
we would provide additional guidance
to ONC–ACBs regarding the particular
format of the data required to be
submitted to the open data file.
While we recognize that this
additional data places a new reporting
burden on ONC–ACBs, we believe that
the benefit to the public of having all of
this data about product certification in
granular detail far outweighs the
administrative burden it will take to
report this information. Further,
depending on the certification scope
sought some of this data will not need
to be collected by ONC–ACBs or will be
in hand for subsequent issued
certifications. We seek public comment
on whether we have omitted any
additional data generated during the
testing and certification process or the
surveillance process that would be
useful to the public.
Consistent with these proposals, we
also propose to make a conforming
modification to 45 CFR 170.523(k)(1)(ii)
which currently cross references
§ 170.523(f) to cross reference proposed
paragraph (f)(2) for 2014 Edition
certifications and an equivalent set of
data (minus the test results summary) in
paragraph (f)(1) for 2015 Edition and
subsequent certifications.
4. Records Retention
We propose to change the records
retention requirement in § 170.523(g) in
two ways. We propose to require that
ONC–ACBs retain all records related to
the certification of Complete EHRs and/
or Health IT Module(s) (including EHR
Modules) for a minimum of six years
instead of five years as currently
required. This proposed revision would
make certification records available
longer, which may be necessary for HHS
programs’ purposes, such as evaluations
our audits. To illustrate, certification to
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the 2014 Edition began in early 2013
and CMS proposes in the EHR Incentive
Programs Stage 3 proposed rule,
published elsewhere in this issue of the
Federal Register, to permit the use of
health IT certified to the 2014 Edition
through 2017. With attestation taking
place in 2018, records may need to be
available for a minimum of six years. In
addition, a six-year records retention
requirement aligns with current
accreditation standards within the
industry. We also propose that records
of certifications performed under the
ONC Health IT Certification Program
must be available to HHS upon request
during the six-year period that a record
is retained. We believe this would help
clarify the availability of certification
records for agencies (e.g., CMS) and
authorities (e.g., the Office of Inspector
General) within HHS.
5. Complaints Reporting
We propose that ONC–ACBs provide
ONC (the National Coordinator) with a
list of complaints received on a
quarterly basis. We propose that ONC–
ACBs indicate in their submission how
many complaints were received, the
nature or substance of the complaint,
and the type of complainant (e.g., type
of provider, health IT developer, etc.).
We believe this information will
provide further insight into potential
concerns with certified health IT or the
ONC Health IT Certification Program
and give ONC a better ability to identify
trends or issues that may require action
including notification of the public. We
propose to include this new
requirement in § 170.523(n).
6. Adaptations and Updates of Certified
Health IT
We propose a new principle of proper
conduct (PoPC) that would serve to
benefit ONC–ACBs as well as all
stakeholders interested in the ONC
Health IT Certification Program and the
health IT certified under the program.
We propose to require that ONC–ACBs
obtain monthly reports from health IT
developers regarding their certified
health IT. Specifically, we propose to
require that ONC–ACBs obtain a record
of all adaptations and updates,
including changes to user-facing
aspects, made to certified health IT (i.e.,
Complete EHRs and certified Health IT
Modules), on a monthly basis each
calendar year. We request comment on
whether we should require even more
frequent reporting.
This new PoPC would apply for all
certified Complete EHRs and certified
Health IT Modules (which includes
‘‘EHR Modules’’) to the 2014 Edition
and all certified Health IT Modules to
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the 2015 Edition. The PoPC would
become effective with a subsequent final
rule and we would expect ONC–ACBs
to begin complying with the PoPC at the
beginning of the first full calendar
month that is at least 30 days after the
effective date of the final rule. For
example, if a final rule became effective
on September 6, 2015, then the first full
calendar month would be November
2015. In this instance and others, there
may be no record to obtain from some
health IT developers because their
Complete EHRs and Health IT Modules
may have been recently certified and
they may not have yet created any
adaptations or made any updates. We
would, however, expect that a health IT
developer would still provide a
‘‘record’’ indicating that no adaptations
had been created and that no updates
had occurred to its ONC–ACB for its
certified health IT.
We would not expect the information
in these records to be reported to ONC
and listed on the CHPL. Rather, in
weighing the need for ONC–ACBs to
properly manage the certifications they
issue versus the additional burden a
regulatory scheme of ‘‘check-ins’’ and
potential re-testing/certification for
every adaptation and update, we
determined that the best course of
action would be to provide awareness to
ONC–ACBs on adaptations and updates
made to technologies they certified. By
doing so, we believe ONC–ACBs would
be able to make informed decisions
when conducting surveillance of
certified Complete EHRs and certified
Health IT Modules. For example, if an
ONC–ACB became aware that a certified
Health IT Module had been updated 10
or more times in a month (which could
be common with cloud-based products),
resulted in 6 adaptations over three
months, or had its user-facing aspects
altered in an apparent significant way,
then an ONC–ACB may want to conduct
surveillance on that certified Health IT
Module. Overall, we believe our
proposed approach protects the integrity
of certified health IT and promotes
safety and security of certified health IT
in a way that seeks to minimizes burden
for health IT developers.
E. ‘‘Decertification’’ of Health IT—
Request for Comment
In the explanatory statement 250
accompanying Public Law 113–235
(Consolidated and Further Continuing
250 160 Cong. Rec. H9047, H9839 (daily ed. Dec.
11, 2014) (explanatory statement submitted by Rep.
Rogers, chairman of the House Committee on
Appropriations, regarding the Consolidated and
Further Continuing Appropriations Act, 2015); and
https://www.congress.gov/congressional-record/
2014/12/11/house-section/article/H9307-1.
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Appropriations Act, 2015) the Congress
urged ONC to use its certification
program to ensure certified electronic
health record technology (CEHRT)
provides value to eligible hospitals,
eligible providers and taxpayers. It also
stated that ONC should use its authority
to certify only those products that
clearly meet current meaningful use
program standards and that do not block
health information exchange. Further, it
stated that ONC should take steps to
‘‘decertify’’ products that proactively
block the sharing of information.
This proposed rule takes certain steps
to support the certification of health IT
that meets relevant program standards
and permits the unrestricted use of
certified capabilities that facilitate
health information exchange (see the
‘‘In-The-Field Surveillance and
Maintenance of Certification’’ and
‘‘Transparency and Disclosure
Requirements’’ proposals in section
IV.D of this preamble). We believe,
however, that additional rulemaking
would be necessary to implement any
approach that would include ONC
appropriating an ONC–ACB’s delegated
authority to issue and terminate a
certification, including establishing new
program requirements and processes by
which ONC or an ONC–ACB would
have the grounds to terminate an issued
certification. Any such rulemaking
would need to, at a minimum, address
the circumstances, due process, and
remedies for the termination of an
issued certification. Given that Congress
also requested the HITPC to consider
and submit a report to them on the
challenges and barriers to
interoperability within the year,251 we
believe it is premature to include such
proposals in this rulemaking. We do,
however, solicit public comment on the
circumstances, due process, remedies,
and other factors that we should
consider regarding the termination of a
certification. In preparing comments in
response to this solicitation, we ask
commenters to keep in mind all parties
involved, including ONC–ACBs, health
IT developers, and consumers
(including those providers that
participate in the EHR Incentives
Programs). Additionally, to help inform
commenters, the following provides a
brief background of the ONC Health IT
Certification Program and examples of
the complexities and potential impacts
associated with terminating a
certification.
Section 3001(c)(5) of the Public
Health Service Act (PHSA) provides the
National Coordinator with the authority
251 https://www.congress.gov/congressionalrecord/2014/12/11/house-section/article/H9307-1.
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to establish a certification program or
programs for the voluntary certification
of health information technology.252
Specifically, this section requires the
National Coordinator, in consultation
with the Director of the National
Institute of Standards and Technology
(NIST), to keep or recognize a program
or programs for the voluntary
certification of health information
technology as being in compliance with
applicable certification criteria 253 (i.e.,
certification criteria adopted by the
Secretary under section 3004 of the
PHSA). Section 3001(c)(5) also requires
that any such certification program(s)
must include, as appropriate, testing in
accordance with section 13201(b) of the
HITECH Act, which requires that with
respect to the development of standards
and implementation specifications, the
Director of NIST support the
establishment of a conformance testing
infrastructure, including the
development of technical test beds.
In developing the ONC Health IT
Certification Program, ONC consulted
with NIST and created the program
structure based on industry best
practice. This structure includes the use
of two separate accreditation bodies: (1)
An accreditor that evaluates the
competency of a health IT testing
laboratory to operate a testing program
in accordance with international
standards; and (2) an accreditor that
evaluates the competency of a health IT
certification body to operate a
certification program in accordance
with international standards. After a
certification body is accredited, it may
apply to the National Coordinator to
receive authorization to certify health IT
on ONC’s behalf. Once authorized, we
refer to these certification bodies as
ONC-Authorized Certification Bodies or
ONC–ACBs. The ONC Health IT
Certification Program includes a full
process by which ONC oversees the
operations of ONC–ACBs. It also
includes a process for the issuance of
certain types of violations as well as a
process to revoke an ONC–ACBs
authorization to certify health IT on
ONC’s behalf.254
252 ‘‘health information technology’’ is defined in
Section 3000(5) to mean ‘‘hardware, software,
integrated technologies or related licenses,
intellectual property, upgrades, or packaged
solutions sold as services that are designed for or
support the use by health care entities or patients
for the electronic creation, maintenance, access, or
exchange of health information’’.
253 ‘‘certification criteria’’ is defined in Section
3001(c)(5)(B) to mean ‘‘with respect to standards
and implementation specifications for health
information technology, criteria to establish that the
technology meets such standards and
implementation specifications.’’
254 See the Permanent Certification Program final
rule (76 FR 1262); subpart E, part 170 of title 45;
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With respect to ONC–ACBs and the
international standard (ISO Guide 65/
ISO 17065) to which they are
accredited, they are uniquely positioned
and accountable for determining
whether a certified product continues to
conform to the certification
requirements to which the product was
certified. If an ONC–ACB can
substantiate a non-conformity, either as
a result of surveillance or otherwise, the
international standard requires that the
ONC–ACB consider and decide upon
the appropriate action, which could
include: (1) The continuation of the
certification under specified conditions
(e.g. increased surveillance); (2) a
reduction in the scope of certification to
remove nonconforming product
variants; (3) suspension of the
certification pending remedial action by
the developer; or (4) withdrawal/
termination of the certification.255
With respect to ONC’s role and ability
to revoke or terminate an issued
certification, ONC’s regulations do not
address this point directly and have
largely deferred, with one exception, to
the ONC–ACBs autonomy and delegated
authority to effectively administer its
certification business. The one
exception involves the scenario where
ONC revokes an ONC–ACB’s
authorization due to a ‘‘type-1’’ program
violation that calls into question the
legitimacy of the issued certification
(see 45 CFR 170.570). In such an
instance, we established a process by
which the National Coordinator would
review and determine whether an ONC–
ACB’s misconduct justifies revoking the
certification issued to one or more
products (76 FR 1297–99).
In general, we believe that it’s
important for commenters to account for
the potentially profound asymmetric
impacts revoking a certification could
create, especially if based on the
business practices (by a health IT
developers or their customers)
associated with the health IT’s use and
not necessarily the health IT’s
performance according to certification
requirements. These asymmetric
impacts are present in any paradigm in
which a certified product is required for
compliance with a program (e.g., the use
of certified health IT under the
Medicare and Medicaid EHR Incentive
Programs and Electronic Prescribing of
Controlled Substances). To illustrate,
the impact of revoking a certification
based on a health IT developer’s
business practice(s) may create a
and https://www.healthit.gov/policy-researchersimplementers/about-onc-hit-certification-program.
255 ISO 17065 (§ 170.599(b)(3)). See also
§ 170.599(a) for general availability of this standard.
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lopsided (and arguably unfair/
inequitable) impact to all those who rely
on the certification in order to comply
with the legal requirement(s) of a
program they are participating in.
Additionally, if such a health IT
developer’s business practice(s) were
not universally applied to all customers,
the outright removal of a certification
could unfairly penalize the health IT
developer’s other customers who were
unaffected by the business practice.
Similarly, if the practices of a group of
a health IT developer’s customers were
found to be impeding information
exchange, outright revoking the
product’s certification (for how it was
requested to be implemented or
configured) could in this case unfairly
penalize the health IT developer as well
as other ‘‘good actor’’ customers and
information exchange partners of the
developer. We also note that there could
be contractual and other legal
agreements affected by any action that
terminates a certification.
All of the above potential
circumstances are meant to highlight for
commenters the significant analysis,
complexity, and need for root cause
determinations that would be necessary
to develop and implement a regulatory
scheme supporting an equitable
certification termination process led or
directed by ONC under the ONC Health
IT Certification Program. To support
justification of such a process based on
the blocking of health information
exchange, we further solicit comment
on examples of health IT certified under
the ONC Health IT Certification Program
that may have been used in the past, or
currently, to proactively block the
sharing of health information.
V. Response to Comments
Because of the large number of public
comments normally received in
response to Federal Register documents,
we are not able to acknowledge or
respond to them individually. We will
consider all comments we receive by the
date and time specified in the DATES
section of this preamble, and, when we
proceed with a subsequent document,
we will respond to the comments in the
preamble of that document.
VI. Incorporation by Reference
The Office of the Federal Register has
established new requirements for
materials (e.g., standards and
implementation specifications) that
agencies propose to incorporate by
reference in the Federal Register (79 FR
66267; 1 CFR 51.5(a)). Specifically,
§ 51.5(a) requires agencies to discuss, in
the preamble of a proposed rule, the
ways that the materials it proposes to
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incorporate by reference are reasonably
available to interested parties or how it
worked to make those materials
reasonably available to interested
parties; and summarize, in the preamble
of the proposed rule, the material it
proposes to incorporate by reference.
To make the materials we intend to
incorporate by reference reasonably
available, we provide a uniform
resource locator (URL) for the standards
and implementation specifications. In
many cases, these standards and
implementation specifications are
directly accessible through the URL
provided. In instances where they are
not directly available, we note the steps
and requirements necessary to gain
access to the standard or
implementation specification. In most of
these instances, access to the standard
or implementation specification can be
gained through no-cost (monetary)
participation, subscription, or
membership with the applicable
standards developing organization
(SDO) or custodial organization. In a
few instances, where noted, access
requires a fee or paid membership.
The National Technology Transfer
and Advancement Act (NTTAA) of 1995
(15 U.S.C. 3701 et seq.) and the Office
of Management and Budget (OMB)
Circular A–119 256 require the use of,
wherever practical, technical standards
that are developed or adopted by
voluntary consensus standards bodies to
carry out policy objectives or activities,
with certain exceptions. The NTTAA
and OMB Circular A–119 provide
exceptions to selecting only standards
developed or adopted by voluntary
consensus standards bodies, namely
when doing so would be inconsistent
with applicable law or otherwise
impractical. As discussed in section III
of this preamble, we have followed the
NTTAA and OMB Circular A–119 in
proposing standards and
implementation specifications for
adoption, including describing any
exceptions in the proposed adoption of
standards and implementation
specifications. Over the years of
adopting standards and implementation
specifications for certification, we have
worked with SDOs, such as HL7, to
make the standards we propose to
adopt, and subsequently adopt and
incorporate by reference in the Federal
Register, available to interested
stakeholders. As described above, this
includes making the standards and
implementation specifications available
256 https://www.whitehouse.gov/omb/circulars_
a119.
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through no-cost memberships and nocost subscriptions.
As required by § 51.5(a), we provide
summaries of the standards and
implementation specifications we
propose to adopt and subsequently
incorporate by reference in the Federal
Register. We also provide relevant
information about these standards and
implementation specifications
throughout section III of the preamble.
In particular, in relevant instances, we
identify differences between currently
adopted versions of standards and
implementation specifications and
proposed versions of standards and
implementation specifications.
We have organized the following
standards and implementation
specifications that we propose to adopt
through this rulemaking according to
the sections of the Code of Federal
Regulation (CFR) in which they would
be codified and cross-referenced for
associated certification criteria that we
propose to adopt in 45 CFR 170.315. We
note, in certain instances, we request
comment in this proposed rule on
multiple standards or implementation
specifications that we are considering
for adoption and incorporation by
reference for a particular use case. We
include all of these standards and
implementation specifications in this
section of the preamble.
Transport and Other Protocol
Standards—45 CFR 170.202
• ONC Implementation Guide for
Delivery Notification in Direct.
URL: https://wiki.directproject.org/file/
view/Implementation+Guide+for+
Delivery+Notification+in+Direct+
v1.0.pdf. This is a direct link.
Summary: This document provides
implementation guidance enabling
Security/Trust Agents (STAs) to provide
a high level of assurance that a message
has arrived at its destination. It also
outlines the various exception flows
that result in a compromised message
delivery and the mitigation actions that
should be taken by STAs to provide
success and failure notifications to the
sending system.
• Healthcare Provider Directory, Trial
Implementation, October 13, 2014.
URL: https://www.ihe.net/
uploadedFiles/Documents/ITI/IHE_ITI_
Suppl_HPD.pdf. This is a direct link.
Summary: This document introduces
the Healthcare Provider Directory (HPD)
that supports queries against and
management of, health care provider
information that may be publicly shared
in a directory structure. HPD directory
structure is a listing of two categories of
health care providers, individual and
organizational providers.
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Functional Standards—45 CFR 170.204
• HL7 Version 3 Standard: Context
Aware Knowledge Retrieval Application.
(‘‘Infobutton’’), Knowledge Request,
Release 2.
URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=208. Access requires a ‘‘user
account’’ and a license agreement. There
is no monetary cost for a user account
and license agreement.
Summary: The Context-aware
knowledge retrieval specifications
(Infobutton) provide a standard
mechanism for clinical information
systems to request context-specific
clinical knowledge from online
resources. Based on the clinical context,
which includes characteristics of the
patient, provider, care setting, and
clinical task, Infobutton(s) anticipates
clinicians’ and patients’ questions and
provides automated links to resources
that may answer those questions.
• HL7 Implementation Guide:
Service-Oriented Architecture
Implementations of the Context-aware
Knowledge Retrieval (Infobutton)
Domain, Release 1.
URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=283. Access requires a ‘‘user
account’’ and a license agreement. There
is no monetary cost for a user account
and license agreement.
Summary: Context-aware knowledge
retrieval (Infobutton) into clinical
information systems help deliver
clinical knowledge to the point of care
as well as patient-tailored education
material. This specification enables the
implementation of context-aware
knowledge retrieval applications
through a Service Oriented Architecture
based on the RESTful software
architectural style.
• HL7 Version 3 Implementation
Guide: Context-Aware Knowledge
Retrieval (Infobutton), Release 4.
URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=22. Access requires a ‘‘user account’’
and a license agreement. There is no
monetary cost for a user account and
license agreement.
Summary: Context-aware knowledge
retrieval (Infobutton) in clinical
information systems help deliver
clinical knowledge to the point of care
as well as patient-tailored education
material. This implementation guide
provides a standard mechanism for EHR
systems to submit knowledge requests
over the HTTP protocol through a
standard using a URL format.
• HL7 Version 3 Standard: Clinical
Decision Support Knowledge Artifact
Specification, Release 1.2 Draft
Standard for Trial Use.
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URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=337. Access requires a ‘‘user
account’’ and a license agreement. There
is no monetary cost for a user account
and license agreement.
Summary: The Clinical Decision
Support Knowledge Artifact
Specification provides guidance on how
to specify and implement shareable CDS
knowledge artifacts using XML. The
scope of the Specification includes
event-condition-action rules, order sets,
and documentation templates.
• HL7 Implementation Guide:
Decision Support Service, Release 1.1,
US Realm, Draft Standard for Trial Use.
URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=334. Access requires a ‘‘user
account’’ and a license agreement. There
is no monetary cost for a user account
and license agreement.
Summary: A Decision Support
Service takes in patient data as the input
and provides back patient-specific
assessments and recommendations. A
Decision Support Service facilitates the
implementation of CDS capabilities in a
scalable manner. This implementation
guide defines a Decision Support
Service implementation approach that
combines the HL7 Decision Support
Service Release 2 standard with the HL7
Virtual Medical Record for CDS
information model standard to enable
the provision of standards-based,
interoperable decision support services.
Content Exchange Standards and
Implementation Specifications for
Exchanging Electronic Health
Information—45 CFR 170.205
• HL7 Implementation Guide for
CDA® R2: Quality Reporting Document
Architecture—Category I, DSTU Release
2 (US Realm) and Errata (September
2014).
URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=35. Access requires a ‘‘user account’’
and a license agreement. There is no
monetary cost for a user account and
license agreement. The DSTU package
must be downloaded in order to access
the errata.
Summary: The Quality Reporting
Document Architecture (QRDA) is an
electronic document format that
provides a standard structure with
which to report quality measure data to
organizations that will analyze and
interpret the data. The Implementation
Guide is consistent with CDA, and
Category I is an individual-patient-level
quality report. The September 2014
Errata reflects updates for the
implementation of QRDA Category I
consistent with the Quality Data Model-
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based Health Quality Measures Format
Release 2.1, an incremental version of
harmonized clinical quality measure
and CDS standards.
• HL7 Implementation Guide for
CDA® Release 2: Consolidated CDA
Templates for Clinical Notes, Draft
Standard for Trial Use, Release 2.0.
URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=379. Access requires a ‘‘user
account’’ and a license agreement. There
is no monetary cost for a user account
and license agreement.
Summary: The Consolidated CDA (C–
CDA) implementation guide contains a
library of CDA templates, incorporating
and harmonizing previous efforts from
HL7, IHE, and Health Information
Technology Standards Panel (HITSP). It
represents harmonization of the HL7
Health Story guides, HITSP C32, related
components of IHE Patient Care
Coordination (IHE PCC), and Continuity
of Care (CCD). The C–CDA Release 2
implementation guide, in conjunction
with the HL7 CDA Release 2 (CDA R2)
standard, is to be used for implementing
the following CDA documents and
header constraints for clinical notes:
Care Plan including Home Health Plan
of Care, Consultation Note, CCD,
Diagnostic Imaging Reports, Discharge
Summary, History and Physical,
Operative Note, Procedure Note,
Progress Note, Referral Note, Transfer
Summary, Unstructured Document, and
Patient Generated Document (US Realm
Header).
• HL7 Implementation Guide for
CDA® Release 2: Additional CDA R2
Templates—Clinical Documents for
Payers—Set 1, Release 1—US Realm,
Draft Standard for Trial Use.
URLs: https://www.hl7.org/special/
Committees/claims/index.cfm and
https://www.hl7.org/participate/online
balloting.cfm?ref=nav#nonmember.
This is a direct access link to the most
recent publicly available version of the
implementation guide. HL7 policy
normally requires a paid membership or
a ‘‘non-member participation’’ fee to
access the balloting process of a
standard or implementation guide. HL7
has, however, agreed to make current
balloted versions of the implementation
guide freely available for review during
the public comment period of this
proposed rule. Access requires a ‘‘user
account’’ and a license agreement. There
is no monetary cost for a user account
and license agreement.
Summary: The purpose of the Clinical
Documents for Payers—Set 1(CDP1)
implementation guide is to provide
guidance on a standardized,
implementable, interoperable electronic
solution to reduce the time and expense
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related to the exchange of clinical and
administrative information between and
among providers and payers. This guide
describes structured documentation
templates that meet requirements for
documentation of medical necessity and
appropriateness of services to be
delivered or that have been delivered in
the course of patient care. These
document templates are designed for
use when the provider needs to
exchange more clinical information than
is required by the C–CDA R2 documentlevel templates and/or must indicate
why information for specific sectionlevel or entry-level templates is not
included.
• HL7 Implementation Guide for
CDA Release 2: Digital Signatures and
Delegation of Rights, Release 1.
URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=375. Access requires a ‘‘user
account’’ and a license agreement. There
is no monetary cost for a user account
and license agreement.
Summary: The Digital Signature and
Delegation of Rights Implementation
Guides provide a standardized method
of applying Digital Signatures to CDA
documents. The standard provides for
multiple signers, signer’s declaration of
their role, declaration of purpose of the
signature, long-term validation of the
Digital Signatures and data validation of
the signed content.
• Author of Record Level 1:
Implementation Guide.
URL: https://wiki.siframework.org/file/
view/esMD%20AoR%20Level%201%20
Implementation%20Guide%20v5%20
FINAL.docx/539084894/esMD%20Ao
R%20Level%201%20Implementation
%20Guide%20v5%20FINAL.docx. This
is a direct link. This implementation
guide was developed under the
Standards and Interoperability (S&I)
Framework.257
Summary: The Author of Record
Level 1 Implementation Guide utilizes
the IHE Document Digital Signature
standard and Security Assertion Markup
Language (SAML) assertions to support
applying digital signatures and
delegation of rights information to
bundles of documents exchanged over
content neutral transports.
• Provider Profiles Authentication:
Registration Implementation Guide.
URL: https://wiki.siframework.org/file/
view/esMD%20Use%20Case%201%20
Implementation%20Guide%20V24%20
FINAL.docx/539084920/esMD
%20Use%20Case%201%20
Implementation%20Guide%20V24%20
FINAL.docx. This is a direct link. This
implementation guide was developed
under the Standards and
Interoperability (S&I) Framework.258
Summary: The Provider Profiles
Authentication Implementation Guide
provides methods for applying digital
signatures and delegation of rights
information to the most common
administrative and clinical transactions,
including: ASC X12, CONNECT, Direct,
and HL7 V2.
• HL7 Version 2.5.1 Implementation
Guide: S&I Framework Laboratory
Orders from EHR, Draft Standard for
Trial Use, Release 2—US Realm.
URL: https://www.hl7.org/participate/
onlineballoting.
cfm?ref=nav#nonmember. HL7 policy
normally requires a paid membership or
a ‘‘non-member participation’’ fee to
access the balloting process of a
standard or implementation guide. HL7
has, however, agreed to make current
balloted versions of the implementation
guide freely available for review during
the public comment period of this
proposed rule. Access requires a ‘‘user
account’’ and a license agreement. There
is no monetary cost for a user account
and license agreement.
Summary: The Laboratory Orders
Implementation Guide identifies the
requirements, specifications, and
standards, and provides the
implementation guidance for the
electronic ordering of laboratory tests in
the US Realm. The scope of the
Laboratory Orders Interface Use Case
includes requirements to enable a
particular implementation of an
Electronic Health Record System (EHR–
S) to use standardized structured data in
a defined inter-organizational laboratory
transaction. The Use Case requirements
are directed at laboratory test orders
between an Ambulatory Provider’s
EHR–S and a Laboratory’s Laboratory
Information System (LIS). Future
versions of this guide may harmonize
with existing guides to extend
interoperability of laboratory results
across care settings, e.g., acute care.
• HL7 Version 2.5.1 Implementation
Guide: S&I Framework Laboratory Test
Compendium Framework, Release 2,
Version 1.2 (eDOS).
URL: https://www.hl7.org/participate/
online
balloting.cfm?ref=nav#nonmember. HL7
policy normally requires a paid
membership or a ‘‘non-member
participation’’ fee to access the balloting
process of a standard or implementation
guide. HL7 has, however, agreed to
257 https://www.healthit.gov/policy-researchersimplementers/standards-interoperability-siframework.
258 https://www.healthit.gov/policy-researchersimplementers/standards-interoperability-siframework.
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make current balloted versions of the
implementation guide freely available
for review during the public comment
period of this proposed rule. Access
requires a ‘‘user account’’ and a license
agreement. There is no monetary cost
for a user account and license
agreement.
Summary: The focus of the Laboratory
Test Compendium Framework is to
provide a standardized means of
electronically communicating a
Laboratory’s Directory of Services
(eDOS). The content is owned by the
sending laboratory for the purpose of
being used by the compendium
consumer to order laboratory services
and to understand the requirements and
components of those services. The
consumer (and consuming systems)
should not modify or delete the content
unless instructed to do so by the
producer via eDOS updates or some
other form of written communication.
Adding to the content to provide
additional information specific to the
consumer’s needs such as cross
reference to local codes and/or other
performing labs, or other information
that does not change or conflict with the
content of the original information
provided by the performing laboratory,
is permitted.
• HL7 Version 2.5.1 Implementation
Guide: S&I Framework Lab Results
Interface, Draft Standard for Trial Use,
Release 2—US Realm.
URL: https://www.hl7.org/participate/
online
balloting.cfm?ref=nav#nonmember. HL7
policy normally requires a paid
membership or a ‘‘non-member
participation’’ fee to access the balloting
process of a standard or implementation
guide. HL7 has, however, agreed to
make current balloted versions of the
implementation guide freely available
for review during the public comment
period of this proposed rule. Access
requires a ‘‘user account’’ and a license
agreement. There is no monetary cost
for a user account and license
agreement.
Summary: The Laboratory Results
Interface (LRI) Implementation Guide
identifies the requirements, defines
specifications and standards, and
provides implementation guidance for
electronic reporting of laboratory test
results to ambulatory care providers in
the US Realm. The scope of the
Laboratory Results Interface Use Case
includes requirements to enable the
incorporation of clinical laboratory test
results into an EHR–S as standardized
structured data using the defined interorganizational laboratory transaction.
The Use Case requirements are directed
at laboratory test results reporting
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between a LIS and an ambulatory EHR–
S in different organizational entities
(e.g., different corporate structure,
ownership or governance). Future
versions of this guide may harmonize
with existing guides to extend
interoperability of laboratory results
across care settings (e.g., acute care).
• HL7 Version 3 Implementation
Guide: Family History/Pedigree
Interoperability.
URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=301. Access requires a ‘‘user
account’’ and a license agreement. There
is no monetary cost for a user account
and license agreement.
Summary: The HL7 Clinical
Genomics Family Health History
(Pedigree) Model is a data standard for
capturing, within a system, and
transmitting family histories between
systems. This includes describing a
patient’s full pedigree (family and
familial relationships) with diseases and
conditions, and the option to link
genetic information and risk analysis.
This standard allows EHR/personal
health record interoperability.
• NCPDP Formulary and Benefit
Standard Implementation Guide v3.0.
URL: https://ncpdp.org/Standards/
Standards-Info and https://ncpdp.org/
?ReturnUrl=%2fmembers%2fStandardsLookup.aspx. Access requires
completion of a membership application
and a paid membership. NCPDP has
stated that membership allows NCPDP
to provide a forum wherein a diverse
membership can develop business
solutions, standards, and guidance for
promoting information exchanges
related to medications, supplies, and
services within the health care system
through consensus building processes.
We note that CMS has already adopted
the NCPDP Formulary and Benefit
Standard Implementation Guide v3.0
and incorporated it by reference in the
Federal Register as a standard for
electronic prescribing under the
voluntary Medicare prescription drug
benefit program.259
Summary: The NCPDP Formulary and
Benefit Standard Implementation Guide
provides a standard means for pharmacy
benefit payers to communicate
formulary and benefit information to
prescribers via technology vendor
systems. It enables the physician to
consider information during the
prescribing process to help make an
appropriate drug choice for the patient.
Compared to v2.1, v3.0 removes some
unused information, provides some
259 42 CFR 423.160(b)(5)(iii). https://www.ecfr.gov/
cgi-bin/text-idx?SID=776f4d6a1759e7616051
6348d3ca4454&node=se42.3.423_1160&rgn=div8.
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value clarifications, adds additional
RxNorm references to fields, and adds
support for text messaging.
• NCPDP Formulary and Benefit
Standard Implementation Guide v4.0.
URL: https://ncpdp.org/Standards/
Standards-Info and https://ncpdp.org/
?ReturnUrl=%2fmembers%2fStandardsLookup.aspx. Access requires
completion of a membership application
and a paid membership. NCPDP has
stated that membership allows NCPDP
to provide a forum wherein a diverse
membership can develop business
solutions, standards, and guidance for
promoting information exchanges
related to medications, supplies, and
services within the health care system
through consensus building processes.
Summary: The NCPDP Formulary and
Benefit Standard Implementation Guide
provides a standard means for pharmacy
benefit payers to communicate
formulary and benefit information to
prescribers via technology vendor
systems. It enables the physician to
consider information during the
prescribing process to help make an
appropriate drug choice for the patient.
Compared to v3.0, v4.0 modifies a field
size, removes some values, and makes
editorial edits to a figure.
• NCPDP Formulary and Benefit
Standard Implementation Guide v4.1.
URL: https://ncpdp.org/Standards/
Standards-Info and https://ncpdp.org/
?ReturnUrl=%2fmembers%2fStandardsLookup.aspx. Access requires
completion of a membership application
and a paid membership. NCPDP has
stated that membership allows NCPDP
to provide a forum wherein a diverse
membership can develop business
solutions, standards, and guidance for
promoting information exchanges
related to medications, supplies, and
services within the health care system
through consensus building processes.
Summary: The NCPDP Formulary and
Benefit Standard Implementation Guide
provides a standard means for pharmacy
benefit payers to communicate
formulary and benefit information to
prescribers via technology vendor
systems. It enables the physician to
consider information during the
prescribing process to help make an
appropriate drug choice for the patient.
Compared to v4.0, v4.1 removes files to
support electronic Prior Authorization
(ePA) transactions since these were
added to the NCPDP SCRIPT Standard
Implementation Guide v2013011
(January 2013) and later versions, makes
typographical corrections, adds a new
coverage type for ePA routing, and adds
an RxNorm qualifier to some data
elements.
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• NCPDP Formulary and Benefit
Standard Implementation Guide v42.
URL: https://ncpdp.org/Standards/
Standards-Info and https://ncpdp.org/
?ReturnUrl=%2fmembers%2fStandardsLookup.aspx. Access requires
completion of a membership application
and a paid membership. NCPDP has
stated that membership allows NCPDP
to provide a forum wherein a diverse
membership can develop business
solutions, standards, and guidance for
promoting information exchanges
related to medications, supplies, and
services within the health care system
through consensus building processes.
Summary: The NCPDP Formulary and
Benefit Standard Implementation Guide
provides a standard means for pharmacy
benefit payers to communicate
formulary and benefit information to
prescribers via technology vendor
systems. It enables the physician to
consider information during the
prescribing process to help make an
appropriate drug choice for the patient.
Compared to v4.1, v42 260 includes
changes to reduce the formulary file
size, modifies some code lists and
values, and revises some fields.
• NCPDP Telecommunication
Standard Implementation Guide vE6.
URL: https://ncpdp.org/Standards/
Standards-Info and https://ncpdp.org/
?ReturnUrl=%2fmembers%2fStandardsLookup.aspx. Access requires
completion of a membership application
and a paid membership. NCPDP has
stated that membership allows NCPDP
to provide a forum wherein a diverse
membership can develop business
solutions, standards, and guidance for
promoting information exchanges
related to medications, supplies, and
services within the health care system
through consensus building processes.
Summary: The Telecommunication
Standard was developed to provide a
standard format for the electronic
submission of third party drug claims.
The development of the standard was to
accommodate the eligibility verification
process at the point-of-sale and to
provide a consistent format for
electronic claims processing. The
Telecommunication Standard includes
transactions for eligibility verification,
claim and service billing,
predetermination of benefits, prior
authorization, information reporting,
and controlled substance (general and
regulated) transaction exchanges.
• ASC X12 270/271 Health Care
Eligibility Benefit Inquiry and Response
Implementation Guide.
260 Please note a change to the naming convention
starting with Version 42.
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URL: https://store.x12.org/store/
healthcare-5010-consolidated-guides.
Access requires either a membership
with ASC X12 or the user to purchase
a single user or unlimited user license.
ASC X12 develops and maintains EDI
and CICA standards along with XML
standards for a number of sectors,
including health care, insurance,
transportation, finance, government,
and supply chain. ASC X12 has stated
that membership allows it to support
standards development and
participation; meetings, conferences,
and educational venues; standards and
publications; tools for members; and
networking and visibility.
Summary: The Health Care Eligibility/
Benefit Inquiry and Information
Response Implementation Guide
describes the use of the Eligibility,
Coverage or Benefit Inquiry (270)
Version/Release 005010 transaction set
and the Eligibility, Coverage, or Benefit
Information (271) Version/Release
005010 transaction set for the following
usages: Determine if an Information
Source organization, such as an
insurance company, has a particular
subscriber or dependent on file; and
determine the details of health care
eligibility and/or benefit information.
• HL7 Implementation Guide: Data
Segmentation for Privacy (DS4P),
Release 1.
URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=354. Access requires a ‘‘user
account’’ and a license agreement. There
is no monetary cost for a user account
and license agreement.
Summary: This guide supports
segmenting clinical records so that
protected health information (PHI) can
be appropriately shared as may be
permitted by privacy policies or
regulations.
• HL7 2.5.1 Implementation Guide
for Immunization Messaging, Release
1.5.
URL: https://www.cdc.gov/vaccines/
programs/iis/technical-guidance/
downloads/hl7guide-1-5-2014-11.pdf.
This is a direct link.
Summary: This document represents
the collaborative effort of the American
Immunization Registry Association and
CDC to improve inter-system
communication of immunization
records. The guide is intended to
facilitate exchange of immunization
records between different systems.
• PHIN Messaging Guide for
Syndromic Surveillance: Emergency
Department, Urgent, Ambulatory Care,
and Inpatient Settings, Release 2.0.
URL: https://www.cdc.gov/phin/
library/guides/
SyndrSurvMessagGuide2_
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MessagingGuide_PHN.pdf. This is a
direct link.
Summary: This document represents
the collaborative effort of the
International Society for Disease
Surveillance, CDC, and NIST to specify
a national electronic messaging standard
that enables disparate health care
applications to submit or transmit
administrative and clinical data for
public health surveillance and response.
The scope of the guide is to provide
guidelines for sending HL7 v.2.5.1
compliant messages from emergency
department, urgent and ambulatory
care, and inpatient settings to public
health authorities.
• HL7 Version 2.5.1 Implementation
Guide: Electronic Laboratory Reporting
to Public Health, Release 2 (US Realm),
Draft Standard for Trial Use R1.1.
URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=329. Access requires a ‘‘user
account’’ and a license agreement. There
is no monetary cost for a user account
and license agreement.
Summary: This guide is the result of
collaborative efforts between HL7 and
the S&I Laboratory Results Interface
Initiative. The guide describes
constraints, comments, and elements
necessary for laboratory reporting to
public health.
• HL7 Implementation Guide for
CDA⊃© Release 2: Reporting to Public
Health Cancer Registries From
Ambulatory Healthcare Providers,
Release 1.
URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=383. Access requires a ‘‘user
account’’ and a license agreement. There
is no monetary cost for a user account
and license agreement.
Summary: As ambulatory health care
providers adopt modern EHR systems,
the opportunity to automate cancer
registry reporting from ambulatory
health care provider settings is also
increasing and becoming more feasible.
This document provides clear and
concise specifications for electronic
reporting form ambulatory health care
provider EHR systems to public health
central cancer registries using the HL7
CDA based standards. This document is
designed to guide EHR vendors and
public health central cancer registries in
the implementation of standardized
electronic reporting.
• IHE IT Infrastructure Technical
Framework Volume 2b (ITI TF–2b).
URL: https://www.ihe.net/Technical_
Framework/upload/IHE_ITI_TF_Rev7–
0_Vol2b_FT_2010-08-10.pdf. This is a
direct link.
Summary: This document defines
specific implementations of established
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standards to achieve integration goals
that promote appropriate sharing of
medical information to support ongoing
patient care. The IHE IT Infrastructure
Technical Framework identifies a subset
of functional components of the health
care enterprise, called ‘‘IHE actors,’’ and
specified their interactions in terms of a
set of coordinated, standards-based
transactions. Volume 2b corresponds to
transactions [ITI–29] through [ITI–57].
• IHE Quality, Research, and Public
Health Technical Framework
Supplement, Structured Data Capture,
Trial Implementation.
URL: https://www.ihe.net/
uploadedFiles/Documents/QRPH/IHE_
QRPH_Suppl_SDC.pdf. This is a direct
link.
Summary: The Structured Data
Capture Content Profile provides
specifications to enable an EHR system
or other application to retrieve a data
capture form and submit data from the
completed form. This supplement is
based on the work of ONC’s S&I
Framework Structured Data Capture
(SDC) Initiative. The SDC Initiative has
developed use cases, identified national
standards for the structure of common
data elements and form model
definition, developed guidance to assist
in implementation, and conducted
pilots for evaluation of SDC.
• HL7 FHIR Implementation Guide:
Structured Data Capture (SDC).
URL: https://hl7.org/implement/
standards/FHIR-Develop/sdc.html#SDC.
This is a direct link.
Summary: This implementation guide
is intended to support clinical systems
in the creation and population of forms
with patient-specific data. It defines a
mechanism for linking questions in
forms to pre-defined data elements to
enable systems to automatically
populate portions of the form based on
existing data, either locally or by
invoking an operation on a third-party
system. Note that the SDC FHIR
Implementation Guide is balloted as
comment-only.
• HL7 Implementation Guide for
CDA® Release 2—Level 3: Healthcare
Associated Infection Reports, Release 1,
U.S. Realm.
URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=20. Access requires a ‘‘user account’’
and a license agreement. There is no
monetary cost for a user account and
license agreement.
Summary: This document specifies a
standard for electronic submission of
health care associated infection reports
(HAI) to the National Healthcare Safety
Network of the CDC. This document
defines the overall approach and
method of electronic submission and
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develops constraints defining specific
HAI report types.
• HL7 Implementation Guide for
CDA® Release 2: National Health Care
Surveys (NHCS), Release 1—US Realm,
Draft Standard for Trial Use (December
2014).
URL: https://www.hl7.org/implement/
standards/product_brief.cfm?product_
id=385. Consistent with HL7 policy,
non-member access would not be
available until April 14, 2015. HL7 has,
however, agreed to waive the normal 90day waiting period and make the
implementation guide freely available
during the public comment period of
this proposed rule. Access requires a
‘‘user account’’ and license agreement.
There is no monetary cost for a user
account and license agreement.
Summary: The HL7 Implementation
Guide for CDA Release 2: National
Health Care Surveys (NHCS), Release
1—US Realm will provide a
standardized format for implementers to
submit data to fulfill requirements of the
Centers for Disease Control and
Prevention/National Center for Health
Statistics/National Health Care Surveys.
This guide will support automatic
extraction of the data from a provider’s
EHR system or data repository. The data
are collected through three surveys of
ambulatory care services in the United
States: The National Ambulatory
Medical Care Survey with information
from physicians and two national
hospital care surveys: The National
Hospital Ambulatory Medical Care
Surveys and the National Hospital Care
Survey with data from hospital
emergency and outpatient departments.
• NCPDP SCRIPT Implementation
Recommendations Version 1.29.
URL: https://www.ncpdp.org/NCPDP/
media/pdf/SCRIPTImplementation
RecommendationsV1-29.pdf. This is a
direct link. The Implementation
Recommendations Version 1.29 is
available at no monetary cost, but
references the NCPDP Structured and
Codified Sig Implementation Guide
Version 1.2. Access to NCPDP standards
requires completion of a membership
application and a paid membership.
NCPDP has stated that membership
allows NCPDP to provide a forum
wherein a diverse membership can
develop business solutions, standards,
and guidance for promoting information
exchanges related to medications,
supplies, and services within the health
care system through consensus building
processes.
Summary: This Implementation
Recommendations document includes
recommendations for implementation of
the structured and codified sig format
for a subset of component composites
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that represent the most common Sig
segments using NCPDP Structured and
Codified Sig Implementation Guide
Version 1.2. The recommendations
promote consistent and complete
prescription transactions of the NCPDP
SCRIPT Standard.
Vocabulary Standards for Representing
Electronic Health Information—45 CFR
170.207
• IHTSDO SNOMED CT®, U.S.
Edition, September 2014 Release.
URL: https://www.nlm.nih.gov/
research/umls/Snomed/us_edition.html.
Access requires a user account and
license agreement. There is no monetary
cost for a user account and license
agreement.
Summary: Systemized Nomenclature
of Medicine—Clinical Terms (SNOMED
CT®) is a comprehensive clinical
terminology, originally created by the
College of American Pathologists and, as
of April 2007, owned, maintained, and
distributed by the International Health
Terminology Standards Development
Organisation. SNOMED CT® improves
the recording of information in an EHR
system and facilitates better
communication, leading to
improvements in the quality of care.
• Logical Observation Identifiers
Names and Codes (LOINC®) Database
version 2.50, a universal code system for
identifying laboratory and clinical
observations produced by the
Regenstrief Institute, Inc.
URL: https://loinc.org/downloads.
Access requires registration, a user
account, and license agreement. There is
no monetary cost for registration, a user
account, and license agreement.
Summary: LOINC® was initiated in
1994 by the Regenstrief Institute and
developed by Regenstrief and the
LOINC® committee as a response to the
demand for electronic movement of
clinical data from laboratories that
produce the data to hospitals, provider’s
offices, and payers who use the data for
clinical care and management purposes.
The scope of the LOINC® effort includes
laboratory and other clinical
observations. The LOINC® database
facilitates the exchange and pooling of
results for clinical care, outcomes
management, and research.
• RxNorm, a standardized
nomenclature for clinical drugs
produced by the United States National
Library of Medicine, February 2, 2015
Release.
URL: https://www.nlm.nih.gov/
research/umls/rxnorm/docs/
rxnormfiles.html. Access requires a user
account and license agreement. There is
no monetary cost for a user account and
license agreement.
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Summary: RxNorm provides
normalized names for clinical drugs and
links its names to many of the drug
vocabularies commonly used in
pharmacy management and drug
interaction software. By providing links
between vocabularies commonly used
in pharmacy management and drug
interaction software, RxNorm can
mediate messages between systems not
using the same software and vocabulary.
RxNorm now includes the National
Drug File—Reference Terminology
(NDF–RT) from the Veterans Health
Administration, which is used to code
clinical drug properties, including
mechanism of action, physiologic effect,
and therapeutic category.
• HL7 Standard Code Set CVX—
Vaccines Administered, updates
through February 2, 2015.
URL: https://www2a.cdc.gov/vaccines/
iis/iisstandards/vaccines.asp?rpt=cvx.
This is a direct link.
Summary: CDC’s National Center of
Immunization and Respiratory Diseases
developed and maintains HL7 Table
0292, Vaccine Administered (CVX).
CVX includes both active and inactive
vaccines available in the U.S. CVX
codes for inactive vaccines allow
transmission of historical immunization
records; when paired with a
manufacturer (MVX) code, the specific
trade named vaccine may be indicated.
• National Drug Code Directory—
Vaccine Codes, updates through
January 15, 2015.
URL: https://www2a.cdc.gov/vaccines/
iis/iisstandards/ndc_tableaccess.asp.
This is a direct access link.
Summary: The Drug Listing Act of
1972 requires registered drug
establishments to provide the FDA with
a current list of all drugs manufactured,
prepared, propagated, compounded, or
processed by it by commercial
distribution. Drug products are
identified and reported using a unique,
three-segment number, called the
National Drug Code (NDC), which
services as the universal product
identifier for drugs. This standard is
limited to the NDC vaccine codes
identified by CDC at the URL provided.
• HL7 Standard Code Set MVX—
Manufacturers of Vaccines Code Set,
updates through October 30, 2014.
URL: https://www2a.cdc.gov/vaccines/
iis/iisstandards/vaccines.asp?rpt=mvx.
This is a direct link.
Summary: CDC’s National Center of
Immunization and Respiratory Diseases
developed and maintains HL7 Table
0227, Manufacturers of Vaccines (MVX).
The MVX table includes both active and
inactive vaccines available in the U.S.
MVX codes allow transmission of
historical immunization records. When
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MVX code is paired with a CVX code,
the specific trade named vaccine may be
indicated.
• ‘‘Race & Ethnicity—CDC’’ code
system in the PHIN Vocabulary Access
and Distribution System (VADS),
Release 3.3.9.
URL: https://phinvads.cdc.gov/vads/
ViewCodeSystem.action?id=2.16.840.1.
113883.6.238. This is a direct link.
Summary: The Public Health
Information Network (PHIN) VADS is a
web-based enterprise vocabulary
systems for accessing, searching, and
distributing vocabularies used within
the PHIN. PHIN VADS provides
standard vocabularies to CDC and its
public health partners in one place. It
promotes the use of standards-based
vocabulary to support the exchange of
consistent information among public
health partners.
• Request for Comments (RFC) 5646.
URL: https://www.rfc-editor.org/info/
rfc5646. This is a direct access link.
Summary: RFC 5646 describes the
structure, content, construction, and
semantics of language tags for use in
cases where it is desirable to indicate
the language used in an information
object. It also describes how to register
values for use in language tags and the
creation of user-defined extensions for
private interchange.
• The Unified Code of Units of
Measure, Revision 1.9.
URL: https://unitsofmeasure.org/trac/.
This is a direct access link. The codes
can be viewed in html or xml.
Summary: The Unified Code of Units
of Measure is a code system intended to
include all units of measures being
contemporarily used in international
science, engineering, and business. The
purpose is to facilitate unambiguous
electronic communication of quantities
together with units.
Standards for Health Information
Technology To Protect Electronic Health
Information Created, Maintained, and
Exchanged—45 CFR 170.210
• Any encryption algorithm identified
by the National Institute of Standards
and Technology (NIST) as an approved
security function in Annex A of the
Federal Information Processing
Standards (FIPS) Publication 140–2,
October 8, 2014.
URL: https://csrc.nist.gov/
publications/fips/fips140-2/
fips1402annexa.pdf. This is a direct
link.
Summary: Federal Information
Processing Standards Publication (FIPS
PUB) 140–2, Security Requirements for
Cryptographic Modules, specifies the
security requirements that are to be
satisfied by the cryptographic module
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utilized within a security system
protecting sensitive information within
computer and telecommunications
systems. The standard provides four
increasing qualitative levels of security
that are intended to cover the wide
range of potential applications and
environments in which cryptographic
modules may be employed.
VII. Collection of Information
Requirements
Under the Paperwork Reduction Act
of 1995 (PRA), agencies are required to
provide 60-day notice in the Federal
Register and solicit public comment on
a proposed collection of information
before it is submitted to the Office of
Management and Budget for review and
approval. In order to fairly evaluate
whether an information collection
should be approved by the Office of
Management and Budget, section
3506(c)(2)(A) of the PRA requires that
we solicit comment on the following
issues:
1. Whether the information collection
is necessary and useful to carry out the
proper functions of the agency;
2. The accuracy of the agency’s
estimate of the information collection
burden;
3. The quality, utility, and clarity of
the information to be collected; and
4. Recommendations to minimize the
information collection burden on the
affected public, including automated
collection techniques.
Under the PRA, the time, effort, and
financial resources necessary to meet
the information collection requirements
referenced in this section are to be
considered. We explicitly seek, and will
consider, public comment on our
assumptions as they relate to the PRA
requirements summarized in this
section. To comment on the collection
of information or to obtain copies of the
supporting statements and any related
forms for the proposed paperwork
collections referenced in this section,
email your comment or request,
including your address and phone
number to Sherette.funncoleman@
hhs.gov, or call the Reports Clearance
Office at (202) 690–6162. Written
comments and recommendations for the
proposed information collections must
be directed to the OS Paperwork
Clearance Officer at the above email
address within 60 days.
Abstract
Under the ONC Health IT
Certification Program, accreditation
organizations that wish to become the
ONC-Approved Accreditor (ONC–AA)
must submit certain information,
organizations that wish to become an
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ONC–ACB must submit the information
specified by the application
requirements, and ONC–ACBs must
comply with collection and reporting
requirements, records retention
requirements, and submit annual
surveillance plans and annually report
surveillance results.
In the Permanent Certification
Program final rule (76 FR 1312–14), we
solicited public comment on each of the
information collections associated with
the requirements described above (and
included in regulation at 45 CFR
170.503(b), 170.520, and 170.523(f), (g),
and (i), respectively). In the 2014
Edition final rule (77 FR 54275–76), we
sought comment on these collection
requirements again and finalized an
additional requirement at § 170.523(f)(8)
for ONC–ACBs to report to ONC a
hyperlink with each EHR technology
they certify that provides the public
with the ability to access the test results
used to certify the EHR technology.
These collections of information were
approved under OMB control number
0955–0013 (previous OMB control
number 0990–0378).
As discussed in more detail below, we
estimate less than 10 annual
respondents for all of the regulatory
‘‘collection of information’’
requirements under Part 170 of Title 45,
including those previously approved by
OMB and proposed in this proposed
rule. Accordingly, the regulatory
‘‘collection of information’’
requirements under the ONC Health IT
Certification Program described in this
section are not subject to the PRA under
5 CFR 1320.3(c). We welcome
comments on this conclusion and our
supporting rationale for this conclusion
as recited below. We also set out below
proposed revisions to previously
approved ‘‘collections of information’’
and potential new ‘‘collections of
information’’ as well as our burden
estimates for these ‘‘collections of
information.’’
We propose to change the records
retention requirement in § 170.523(g)
from five years to six years. It is our
understanding that a six-year records
retention requirement aligns with
current accreditation standards that
ONC–ACBs follow. Therefore, we do not
believe there will be any additional
burden based on this proposed change.
We propose in § 170.523(o) that ONC–
ACBs provide ONC with a list of
complaints received on a quarterly
basis. We only request that ONC–ACBs
indicate in their submission how many
complaints were received, the nature or
substance of the complaint, and the type
of complainant (e.g., type of provider,
health IT developer, etc.). Therefore, we
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believe ONC–ACBs will face little
burden in complying with this new
proposed requirement.
For regulatory clarity in relation to
new proposed ONC–ACB collection and
reporting requirements, we have
proposed to move all of the current
ONC–ACB collection and reporting
requirements in § 170.523(f) to
§ 170.523(f)(2). These collection and
reporting requirements are specific to
the certification of health IT to the 2014
Edition. We note that we have also
proposed to add a data element to the
list of collection and reporting
requirements for 2014 Edition
certifications. The data element is the
reporting of any corrective action
instituted under the proposed
provisions of § 170.556 (see section
IV.D.3 of this preamble; see also
§ 170.523(f)(2)(ix)).
We propose to add a new ONC–ACB
collection and reporting requirements
for the certification of health IT to the
2015 Edition (and any subsequent
edition certification) in § 170.523(f)(1).
As proposed for § 170.523(f)(1), ONC–
ACBs would be required to report on the
same data elements they report to ONC
under current § 170.523(f), the
information contained in the publicly
available test report, and additional data
in an open data file format. These
collection and reporting requirements
are described in more detail in section
IV.D.3, titled ‘‘Open Data Certified
Health IT Product List (CHPL).’’ We do
not anticipate any additional burden on
ONC–ACBs for reporting similar
information for 2015 Edition
certifications as they do for 2014 Edition
certifications. For the additional data
that we propose they report, we believe
that burden would be minimal as
discussed below.
For the purposes of estimating the
additional potential burden for
reporting under § 170.523(f)(1) and (2):
• We assume there will be three
ONC–ACBs as this is the current
number of ONC–ACBs.
• We assume ONC–ACBs will
continue to report weekly (i.e.,
respondents will respond 52 times per
year) as is the current practice.
• We assume an equal distribution
among ONC–ACBs in certifying Health
IT Modules on a weekly basis. As such,
based on the number of Complete EHRs
and EHR Modules listed on the CHPL at
the end of July of 2014 (approximately
one and a half years since ONC began
certifying 2014 Edition products), we
estimate that, on average, each ONC–
ACB will report information to ONC on
2015 Edition certifications for 2.5
Health IT Modules per week.
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• We expect 2014 Edition
certifications to slow upon issuance of
a subsequent final rule and estimate that
each ONC–ACB will only issue, on
average, one 2014 Edition certification
per week after a subsequent final rule is
effective. Therefore, we have reduced
the average burden hours per response
to .75 from 1.33 for § 170.523(f)(2). This
new average burden hour estimate takes
into account any potential ONC–ACB
reporting of data associated with the
new proposed provisions for corrective
action instituted under § 170.556 (see
§ 170.523(f)(2)(ix)).
• We believe it will take
approximately 1.5 hours per week on
average to collect and report to ONC the
information required for 2015 Edition
certifications in § 170.523(f)(1),
including the information that goes
beyond what is currently collected and
reported for 2014 Edition certifications.
Our estimate includes a potential wide
range of certifications issued for Health
IT Modules, including, but not limited
to, certifying Health IT Modules to
multiple certification criteria and
CQMs. Our estimates also take into
account that it may take ONC–ACBs
more time in the beginning of the
collection and reporting processes as
they may need to recode their systems
to collect and report the new
information in an automated manner.
Therefore, we believe 1.5 hours
represents a reasonable average of the
amount of time for an ONC–ACB to
collect and report the information
proposed under § 170.523(f)(1). Our
burden estimate is incorporated into the
table below.
As stated above, we anticipate that
there will be three ONC–ACBs
participating in the ONC Health IT
Certification Program as this is the
current number of ONC–ACBs. Further,
since the establishment of the ONC
Health IT Certification Program in 2010,
ONC has never had more than six
applicants for ONC–ACB or ONC–ATCB
status or selected more than six ONC–
ACBs or ONC–ATCBs.261 Therefore, we
have aligned the estimated number of
respondents for the applicable
regulation provisions (i.e.,
§ 170.523(f)(1) and (2), (g), (i), and (o);
and § 170.540(c)) with the current
number of ONC–ACBs. We have also
revised the estimated number of
respondents for § 170.503(b) (applicants
for ONC-Approved Accreditor (ONC–
AA) status) based on past selection
processes for the ONC–AA, which have
261 See also: https://www.healthit.gov/policyresearchers-implementers/authorized-testing-andcertifications-bodies and https://www.healthit.gov/
policy-researchers-implementers/certificationbodies-testing-laboratories.
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included no more than two applicants.
We have retained the same number of
responses per respondent and average
burden hours per response for the
regulation provisions currently included
in OMB control number 0995–0013,
except for § 170.523(f) as specified
above (now § 170.523(f)(2)). Our
estimates for the total burden hours are
expressed in the table below.
ESTIMATED ANNUALIZED TOTAL BURDEN HOURS
45
45
45
45
45
45
45
45
CFR
CFR
CFR
CFR
CFR
CFR
CFR
CFR
Number of
responses per
respondent
Number of
respondents
Type of respondent
Average burden hours per
response
Total burden
hours
170.503(b) ..........................................................................................
170.520 ..............................................................................................
170.523(f)(1) ......................................................................................
170.523(f)(2) ......................................................................................
170.523(g) ..........................................................................................
170.523(i) ...........................................................................................
170.523(o) ..........................................................................................
170.540(c) ..........................................................................................
2
1
3
3
3
3
3
3
1
1
52
52
n/a
2
4
1
1
1
1.5
.75
n/a
1
1
1
2
1
234
117
n/a
6
12
3
Total burden hours ...................................................................................
........................
........................
........................
375
VIII. Regulatory Impact Statement
A. Statement of Need
This proposed rule is being published
to adopt the 2015 Edition. Certification
criteria and associated standards and
implementation specifications would be
used to test and certify health IT in
order to make it possible for EPs,
eligible hospitals, and CAHs to adopt
and implement health IT that can be
used to meet the CEHRT definition. EPs,
eligible hospitals, and CAHs who
participate in the EHR Incentive
Programs are required by statute to use
CEHRT.262
The certification criteria and
associated standards and
implementation specifications would
also support the certification of more
types of health IT and health IT that
supports care and practice settings
beyond the scope of the EHR Incentive
Programs.
The adoption and implementation of
health IT certified to the 2015 Edition
promotes interoperability in support of
a nationwide health information
infrastructure and improves health care
quality, safety and efficiency consistent
with the goals of the HITECH Act.
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B. Overall Impact
We have examined the impact of this
proposed rule as required by Executive
Order 12866 on Regulatory Planning
and Review (September 30, 1993),
Executive Order 13563 on Improving
Regulation and Regulatory Review
(February 2, 2011), the Regulatory
Flexibility Act (5 U.S.C. 601 et seq.),
section 202 of the Unfunded Mandates
Reform Act of 1995 (2 U.S.C. 1532), and
Executive Order 13132 on Federalism
(August 4, 1999).
262 Section
1848(o) of the Social Security Act.
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1. Executive Orders 12866 and 13563—
Regulatory Planning and Review
Analysis
Executive Orders 12866 and 13563
direct agencies to assess all costs and
benefits of available regulatory
alternatives and, if regulation is
necessary, to select regulatory
approaches that maximize net benefits
(including potential economic,
environmental, public health and safety
effects, distributive impacts, and
equity). A regulatory impact analysis
(RIA) must be prepared for major rules
with economically significant effects
($100 million or more in any 1 year).
OMB has determined that this proposed
rule is an economically significant rule
as ONC has estimated the costs to
develop and prepare health IT to be
tested and certified may be greater than
$100 million per year. Because of the
public interest in this proposed rule, we
have prepared an RIA that to the best of
our ability presents the costs and
benefits of the proposed rule.
a. Costs
This proposed rule proposes the
adoption of standards, implementation
specifications, and certification criteria
that would establish the capabilities that
health IT would need to demonstrate to
be certified to the 2015 Edition. Our
analysis focuses on the direct effects of
the provisions of this proposed rule—
the costs incurred by health IT
developers to develop and prepare
health IT to be tested and certified in
accordance with the certification criteria
(and the standards and implementation
specifications they include) adopted by
the Secretary. That is, we focus on the
technological development and
preparation costs necessary for health IT
already certified to the 2014 Edition to
upgrade to the proposed 2015 Edition
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and for, in limited cases, developing
and preparing a new Health IT Module
to meet the 2015 Edition. The costs for
the testing and certification of health IT
to the 2015 Edition were captured in the
regulatory impact analysis of the
Permanent Certification Program final
rule as we discuss in more detail below
(VIII.B.1.a.iii ‘‘Testing and Certification
Costs for the 2015 Edition’’). Because
the costs that EPs, eligible hospitals, and
CAHs would incur in adopting and
implementing (including training,
maintenance, and any other ongoing
costs) health IT certified to the 2015
Edition is overwhelmingly attributable
to CMS’s EHR Incentive Programs Stage
3 proposed rule (proposed elsewhere in
this issue of the Federal Register), and
would not be incurred in the absence of
such rulemaking, such costs are not
within the scope of the analysis of this
proposed rule; similarly, any benefits
that are contingent upon adoption and
implementation would be attributable to
CMS’s rulemaking.263 We also note that
this proposed rule does not impose the
costs cited as compliance costs, but
rather as investments which health IT
263 ONC administers a voluntary certification
program that provides no incentives for
certification. Therefore, to the extent that providers’
implementation and adoption costs are attributable
to CMS’s rulemaking, health IT developers’
preparation and development costs would also be
attributable to that rulemaking (because all of the
costly activities are, directly or indirectly,
incentivized by CMS’s proposed payment
structure). However, even if CMS’s proposed rule
were not finalized, a professional organization or
other such entity could require or promote
certification, thus generating costs and benefits that
are attributable to this proposed rule. To avoid
giving the misleading impression that such effects
equal zero, we present in this RIA a subset of the
relevant impacts—a quantification of costs that are
incurred by health IT developers and a qualitative
discussion of benefits. (The missing portion of the
subset is providers’ implementation and adoption
costs.)
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developers voluntarily take on and
expect to recover with an appropriate
rate of return.
i. Development and Preparation Costs
for the 2015 Edition
The development and preparation
costs we estimate are derived through a
health IT developer per criterion cost. In
simple terms, we estimate: (1) How
many health developers will prepare
and develop products against the
proposed certification criteria; (2) how
many products they will develop; and
(3) what it will likely cost them to
develop and prepare those products to
meet the proposed certification criteria.
We are not aware of an available
independent study (e.g., a study
capturing the preparation efforts and
costs to develop and Health IT Modules
to meet the requirements of the 2014
Edition) that we could rely upon as a
basis for estimating the efforts and costs
required to develop and prepare health
IT to meet the 2015 Edition. We
welcome comments identifying such a
study or on any valid and reliable data
upon which we could base our
estimates in a subsequent final rule.
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Proposed Certification Criteria
We have divided the proposed
certification criteria into two tables. One
table is for the certification criteria
associated with EHR Incentive Programs
Stage 3 proposed objectives and
measures (‘‘Stage 3 Criteria’’). This table
also includes certification criteria that
are included in conditional certification
requirements, such as privacy and
security, safety-enhanced design, and
quality management system certification
criteria as certified Health IT Modules
certified to these criteria would likely be
used to meet the CEHRT definition
under the EHR Incentive Programs. The
second table is for all other proposed
certification criteria (‘‘Independent
Criteria’’). We have done this because,
based on available data, we can more
accurately estimate the number of
health IT developers that may develop
and prepare Health IT Modules for
certification to proposed certification
criteria associated with the EHR
Incentive Programs.
Health IT Developers
We derive our estimates for the
number of health IT developers by
beginning with the number of Health IT
developers certified to each of the 2014
Edition certification criteria as
identified in CHPL data from November
10, 2014. For the Stage 3 Criteria that
correspond to 2014 Edition certification
criteria, we have reduced the number of
Health IT developers by 30% from the
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number that certified against the 2014
Edition. We have done this because we
have found a 22% drop in the number
of health IT developers that certified
technology against the 2014 Edition
versus the 2011 Edition. We believe that
as both interoperability requirements
increase by edition and certain health IT
developers gain more market share
through competition and acquisition of
other health IT developers, there will be
an even greater drop in the number of
health IT developers that seek
certification to the 2015 Edition. We
welcome comments on this assumption.
For the Independent Criteria, we have
established a number of health IT
developers for all the criteria at 16. We
derived this number by taking the
lowest number of health IT developers
certified to a 2014 Edition certification
criteria and reducing that number by
50%. Only 32 health IT developers have
certified to the 2014 Edition
‘‘transmission to cancer registries’’
certification criterion (§ 170.314(f)(6))
even though it is associated with an
EHR Incentive Programs Stage 2 menu
objective. The Independent Criteria are
not currently associated with the EHR
Incentive Programs or other HHS
payment programs. Therefore, we
estimate that a small number of health
IT developers would certify to these
criteria (i.e., 50% less than the least
amount of health IT developers certified
to a certification criterion that supports
the EHR Incentive Programs). We
welcome comments on our approach to
estimating the number of health IT
developers for Independent Criteria. We
also seek comment on reasons (e.g., use
cases) why health IT developers would
currently seek certification to these
criteria in general or for each proposed
criteria.
To note, the estimated number of
Health IT developers for each criterion
includes any potential new entrants to
the market.
Number of Health IT Modules
We estimate 2.5 products per health
IT developer for each Stage 3 criterion.
We reached this estimate based both on
the number of unique 264 certified
products listed on the CHPL as of
November 10, 2014 divided by the
number of health IT developers certified
and stakeholder feedback on our
Voluntary Edition proposed rule (79 FR
54474). We estimate 1 product for each
of the Independent Criteria (60% less).
As noted above, the Independent
264 We attempted to discern how many Complete
EHRs and Health IT Modules were used that would
not constitute a newer version of the same
technology.
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Fmt 4701
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Criteria are not currently associated
with the EHR Incentive Programs or
other HHS payment programs.
Therefore, it is not only unclear how
many health IT developers will seek
certification to these criteria, but also
how many products they would certify
to these criteria. We can only assume
that the number of products certified by
each health IT developer will likely be
less than for Stage 3 Criteria. Again, we
welcome comments on estimates.
Average Development and Preparation
Hours
Our estimated average development
hours are based on feedback we
received in response to the RIA we
completed for on our Voluntary Edition
proposed rule and internal estimates for
criteria where there is no external data
to validly rely upon. As noted in the
Voluntary Edition final rule, we have
generally used estimates from the
Electronic Health Record Association as
a basis for our high estimates, where
applicable. For the Stage 3 Criteria, we
include the development and
preparation for 2.5 certified products
per health IT developer in the estimated
average development and preparation
hours. For the Independent Criteria, we
have built in an estimate of 60% less
overall development and preparation
hours due to our assumption that a
health IT developer would develop only
one product.
As mentioned above, for proposed
2015 Edition certification criteria that
have a corresponding 2014 Edition
criterion, we estimate only the
development and preparation hours to
meet the new and revised capabilities
included in a proposed criterion.
Health IT Developer Hourly Cost and
Cost Range
We have based the effort levels on the
hours necessary for a software developer
to develop and prepare the health IT for
testing and certification. The U.S.
Department of Labor, Bureau of Labor
Statistics estimates that the median
hourly wage for a software developer is
$44.55.265 We have also calculated the
costs of an employee’s benefits by
assuming that an employer expends
thirty-six percent (36%) of an
employee’s hourly wage on benefits for
the employee. We have concluded that
a 36% expenditure on benefits is an
appropriate estimate because it is the
routine percentage used by HHS for
contract cost estimates. We have
rounded up the average software
265 https://www.bls.gov/oes/current/
oes151132.htm.
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Federal Register / Vol. 80, No. 60 / Monday, March 30, 2015 / Proposed Rules
developer’s wage with benefits to $61
per hour.
To calculate our cost estimates for
each certification criterion in the tables
below, we have multiplied both the
average low and average high number of
development and preparation hours by
$61. For tables 8 and 9, dollar amounts
are expressed in 2013 dollars.
For unchanged certification
criteria,266 we have estimated a range of
0–50 hours to account for new entrants
in the Stage 3 Criteria table (Table 6)
and used 60% less of that estimate in
the ‘‘Independent Criteria’’ table (Table
7). To illustrate, that would produce a
high development hours of 12,700 for
the ‘‘medication list’’ criterion (item #
7). This likely still overestimates the
burden hours of all potential new
entrants.
Estimated Health IT Developers and
Development Hours Per Criterion
TABLE 6—ESTIMATED HEALTH IT DEVELOPERS AND DEVELOPMENT AND PREPARATION HOURS FOR PROPOSED
CERTIFICATION CRITERIA—CRITERIA ASSOCIATED WITH THE EHR INCENTIVE PROGRAMS STAGE 3
[Stage 3 Criteria]
Item No.
Certification
criterion name
CFR text
§ 170.315(a)(1) .....................
§ 170.315(a)(2) .....................
§ 170.315(a)(3) .....................
§ 170.315(a)(4) .....................
§ 170.315(a)(5) .....................
§ 170.315(a)(7) .....................
§ 170.315(a)(8) .....................
§ 170.315(a)(9) .....................
§ 170.315(a)(10) ...................
§ 170.315(a)(11) ...................
11
12
13
14
15
16
17
18
.................
.................
.................
.................
.................
.................
.................
.................
§ 170.315(a)(12) ...................
§ 170.315(a)(14) ...................
§ 170.315(a)(15) ...................
§ 170.315(a)(17) ...................
§ 170.315(a)(19) ...................
§ 170.315(a)(20) ...................
§ 170.315(b)(1) .....................
§ 170.315(b)(2) .....................
19
20
21
22
.................
.................
.................
.................
§ 170.315(b)(3) .....................
§ 170.315(b)(6) .....................
§ 170.315(c)(1) ......................
§ 170.315(d)(1) .....................
23
24
25
26
27
28
29
30
31
32
33
.................
.................
.................
.................
.................
.................
.................
.................
.................
.................
.................
§ 170.315(d)(2) .....................
§ 170.315(d)(3) .....................
§ 170.315(d)(4) .....................
§ 170.315(d)(5) .....................
§ 170.315(d)(6) .....................
§ 170.315(d)(7) .....................
§ 170.315(d)(8) .....................
§ 170.315(e)(1) .....................
§ 170.315(e)(2) .....................
§ 170.315(f)(1) ......................
§ 170.315(f)(2) ......................
34 .................
§ 170.315(f)(3) ......................
35 .................
36 .................
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
1 ...................
2 ...................
3 ...................
4 ...................
5 ...................
6 ...................
7 ...................
8 ...................
9 ...................
10 .................
§ 170.315(f)(4) ......................
§ 170.315(f)(5) ......................
37 .................
§ 170.315(f)(6) ......................
38 .................
§ 170.315(f)(7) ......................
39 .................
40 .................
41 .................
§ 170.315(g)(1) .....................
§ 170.315(g)(2) .....................
§ 170.315(g)(3) .....................
266 For the purposes of estimating development
hours, we are currently characterizing the 2015
Edition ‘‘automatic access time-out’’
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Number of
health IT
developers who
develop
product(s) for
certification
to criterion
CPOE—medications ....................................
CPOE—laboratory ........................................
CPOE—diagnostic imaging ..........................
DD/DAI Checks for CPOE ...........................
Demographics ..............................................
Problem List .................................................
Medication List .............................................
Medication Allergy List .................................
Clinical Decision Support .............................
Drug-formulary and Preferred Drug List
Checks.
Smoking Status ............................................
Family Health History ...................................
Family Health History—pedigree .................
Patient-specific Education Resources .........
Patient Health Information Capture .............
Implantable Device List ................................
Transitions of Care .......................................
Clinical Information Reconciliation and Incorporation.
Electronic Prescribing ..................................
Data Portability .............................................
CQMs—record and export ...........................
Authentication, Access Control, Authorization.
Auditable Events and Tamper-resistance ....
Audit Report(s) .............................................
Amendments ................................................
Automatic Access Time-out .........................
Emergency Access ......................................
End-User Device Encryption ........................
Integrity .........................................................
View, Download, and Transmit to 3rd party
Secure Messaging .......................................
Transmission to Immunization Registries ....
Transmission to Public Health Agencies—
syndromic surveillance.
Transmission to Public Health Agencies—
reportable laboratory tests and values/results.
Transmission to Cancer Registries ..............
Transmission to Public Health Agencies—
case reporting.
Transmission to Public Health Agencies—
antimicrobial use and resistance reporting.
Transmission to Public Health Agencies—
health care surveys.
Automated Numerator Recording ................
Automated Measure Calculation ..................
Safety-enhanced Design ..............................
(§ 170.315(d)(5)) and ‘‘end-user device encryption’’
certification criterion (§ 170.315(d)(7)) as
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Hourly development effort by
health IT developer
Low Avg
High Avg
83.3
83.3
83.3
242.2
268.8
256.9
254.8
252.7
235.2
233.1
0
1,000
0
400
500
100
0
0
600
310
50
2,000
50
800
1,000
200
50
50
1,200
620
266.7
216
24
249.2
88.9
90
242.9
224
100
100
500
600
500
1,100
1,550
600
200
200
1,200
1,200
1,000
1,700
3,100
1,200
224.7
228.9
246.4
333.9
1,050
800
200
0
2,100
1,600
500
50
272.3
280
243.6
333.9
308.7
267.4
312.2
256.2
246.4
220.5
213.5
0
0
0
0
0
0
0
1,000
0
680
480
50
50
50
50
50
50
50
2,000
50
1,360
960
49
520
1,040
22.4
21
500
500
1,000
1,000
21
500
1,000
21
500
1,000
113.4
264.6
266
400
600
300
800
1,200
600
unchanged despite clarifying edits to the criteria
and updates.
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TABLE 6—ESTIMATED HEALTH IT DEVELOPERS AND DEVELOPMENT AND PREPARATION HOURS FOR PROPOSED
CERTIFICATION CRITERIA—CRITERIA ASSOCIATED WITH THE EHR INCENTIVE PROGRAMS STAGE 3—Continued
[Stage 3 Criteria]
Item No.
Number of
health IT
developers who
develop
product(s) for
certification
to criterion
Certification
criterion name
CFR text
42 .................
43 .................
44 .................
§ 170.315(g)(4) .....................
§ 170.315(g)(6) .....................
§ 170.315(g)(7) .....................
45 .................
46 .................
47 .................
§ 170.315(g)(8) .....................
§ 170.315(h)(1) .....................
§ 170.315(h)(2) .....................
Quality Management System .......................
Consolidated CDA Creation Performance ...
Application Access to Common Clinical
Data Set.
Accessibility-Centered Design .....................
Direct Project ................................................
Direct Project, Edge Protocol, and XDR/
XDM.
Hourly development effort by
health IT developer
Low Avg
High Avg
401.8
242
242
400
400
500
800
1,000
1,000
401.8
140
70
50
0
0
100
50
50
TABLE 7—ESTIMATED HEALTH IT DEVELOPERS AND DEVELOPMENT AND PREPARATION HOURS FOR PROPOSED
CERTIFICATION CRITERIA—CRITERIA NOT ASSOCIATED WITH THE EHR INCENTIVE PROGRAMS STAGE 3
[‘‘Independent Criteria’’]
Item No.
CFR text
1 ..................
2 ..................
3 ..................
4 ..................
5 ..................
6 ..................
7 ..................
8 ..................
9 ..................
10 ................
11 ................
12 ................
13 ................
14 ................
15 ................
16 ................
17 ................
§ 170.315(a)(6) ...............
§ 170.315(a)(13) .............
§ 170.315(a)(16) .............
§ 170.315(a)(18) .............
§ 170.315(a)(21) .............
§ 170.315(a)(22) .............
§ 170.315(a)(23) .............
§ 170.315(b)(4) ...............
§ 170.315(b)(5) ...............
§ 170.315(b)(7) ...............
§ 170.315(b)(8) ...............
§ 170.315(b)(9) ...............
§ 170.315(c)(2) ...............
§ 170.315(c)(4) ...............
§ 170.315(d)(9) ...............
§ 170.315(g)(5) ...............
§ 170.315(h)(3) ...............
18 ................
19 ................
20 ................
§ 170.315(h)(4) ...............
§ 170.315(h)(5) ...............
§ 170.315(i)(1) ................
Number of health
IT developers
who develop
product(s)
for certification
to criterion
Certification criterion name
Vital Signs, BMI, and Growth Charts ......................
Image Results .........................................................
Patient List Creation ................................................
Electronic Medication Administration Record .........
Social, Psychological, and Behavioral Data ...........
Decision Support—knowledge artifact ....................
Decision Support—service ......................................
Incorporate Laboratory Tests and Values/Results
Transmission of Laboratory Test Reports ..............
Data Segmentation for Privacy—send ....................
Data Segmentation for Privacy—receive ................
Care Plan ................................................................
CQMs—import and calculate ..................................
CQMs—filter ............................................................
Accounting of Disclosures .......................................
Accessibility Technology Compatibility ...................
SOAP Transport and Security Specification and
XDR/XDR for Direct Messaging.
Healthcare Provider Directory—query request .......
Healthcare Provider Directory—query response ....
Electronic Submission of Medical Documentation ..
Hourly development
effort by health
IT developer
Low Avg
High Avg
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
614
0
0
0
235
394
229
313
360
450
450
300
0
316
0
800
0
922
20
20
20
470
788
458
626
720
900
900
500
200
632
20
1,400
20
16
16
16
120
120
1,000
240
240
2,000
Estimated Cost Per Criterion for Health
IT Developers
TABLE 8—TOTAL DEVELOPMENT AND PREPARATION COSTS PER CRITERION FOR HEALTH IT DEVELOPERS—CRITERIA
ASSOCIATED WITH THE EHR INCENTIVE PROGRAMS STAGE 3
[‘‘Stage 3 Criteria’’]
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
Average cost estimates ($)
Item No.
1
2
3
4
5
............
............
............
............
............
CFR text
§ 170.315(a)(1)
§ 170.315(a)(2)
§ 170.315(a)(3)
§ 170.315(a)(4)
§ 170.315(a)(5)
VerDate Sep<11>2014
Certification criterion name
..........................
..........................
..........................
..........................
..........................
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Average
low
($)
CPOE—medications .....................................................................
CPOE—laboratory ........................................................................
CPOE—diagnostic imaging ..........................................................
DD/DAI Checks for CPOE ............................................................
Demographics ...............................................................................
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E:\FR\FM\30MRP2.SGM
30MRP2
0
508,1300
0
5,909,680
8,198,400
Average
high
($)
254,065
1,0162,600
254,065
11,819,360
16,396,800
Federal Register / Vol. 80, No. 60 / Monday, March 30, 2015 / Proposed Rules
16899
TABLE 8—TOTAL DEVELOPMENT AND PREPARATION COSTS PER CRITERION FOR HEALTH IT DEVELOPERS—CRITERIA
ASSOCIATED WITH THE EHR INCENTIVE PROGRAMS STAGE 3—Continued
[‘‘Stage 3 Criteria’’]
Average cost estimates ($)
Item No.
CFR text
Certification criterion name
6 ............
7 ............
8 ............
9 ............
10 ..........
11 ..........
12 ..........
13 ..........
14 ..........
15 ..........
16 ..........
17 ..........
18 ..........
19 ..........
20 ..........
21 ..........
22 ..........
23 ..........
24 ..........
25 ..........
26 ..........
27 ..........
28 ..........
29 ..........
30 ..........
31 ..........
32 ..........
33 ..........
§ 170.315(a)(7) ..........................
§ 170.315(a)(8) ..........................
§ 170.315(a)(9) ..........................
§ 170.315(a)(10) ........................
§ 170.315(a)(11) ........................
§ 170.315(a)(12) ........................
§ 170.315(a)(14) ........................
§ 170.315(a)(15) ........................
§ 170.315(a)(17) ........................
§ 170.315(a)(19) ........................
§ 170.315(a)(20) ........................
§ 170.315(b)(1) ..........................
§ 170.315(b)(2) ..........................
§ 170.315(b)(3) ..........................
§ 170.315(b)(6) ..........................
§ 170.315(c)(1) ..........................
§ 170.315(d)(1) ..........................
§ 170.315(d)(2) ..........................
§ 170.315(d)(3) ..........................
§ 170.315(d)(4) ..........................
§ 170.315(d)(5) ..........................
§ 170.315(d)(6) ..........................
§ 170.315(d)(7) ..........................
§ 170.315(d)(8) ..........................
§ 170.315(e)(1) ..........................
§ 170.315(e)(2) ..........................
§ 170.315(f)(1) ...........................
§ 170.315(f)(2) ...........................
34 ..........
§ 170.315(f)(3) ...........................
35 ..........
36 ..........
37 ..........
§ 170.315(f)(4) ...........................
§ 170.315(f)(5) ...........................
§ 170.315(f)(6) ...........................
38
39
40
41
42
43
44
45
46
47
§ 170.315(f)(7) ...........................
§ 170.315(g)(1) ..........................
§ 170.315(g)(2) ..........................
§ 170.315(g)(3) ..........................
§ 170.315(g)(4) ..........................
§ 170.315(g)(6) ..........................
§ 170.315(g)(7) ..........................
§ 170.315(g)(8) ..........................
§ 170.315(h)(1) ..........................
§ 170.315(h)(2) ..........................
Problem List ..................................................................................
Medication List ..............................................................................
Medication Allergy List ..................................................................
Clinical Decision Support ..............................................................
Drug-formulary and Preferred Drug List Checks ..........................
Smoking Status .............................................................................
Family Health History ...................................................................
Family Health History—pedigree ..................................................
Patient-specific Education Resources ..........................................
Patient Health Information Capture ..............................................
Implantable Device List ................................................................
Transitions of Care .......................................................................
Clinical Information Reconciliation and Incorporation ..................
Electronic Prescribing ...................................................................
Data Portability .............................................................................
CQMs—record and export ............................................................
Authentication, Access Control, Authorization .............................
Auditable Events and Tamper-resistance ....................................
Audit Report(s) ..............................................................................
Amendments .................................................................................
Automatic Access Time-out ..........................................................
Emergency Access .......................................................................
End-User Device Encryption ........................................................
Integrity .........................................................................................
View, Download, and Transmit to 3rd party .................................
Secure Messaging ........................................................................
Transmission to Immunization Registries .....................................
Transmission to Public Health Agencies—syndromic surveillance.
Transmission to Public Health Agencies—reportable laboratory
tests and values/results.
Transmission to Cancer Registries ..............................................
Transmission to Public Health Agencies—case reporting ...........
Transmission to Public Health Agencies—antimicrobial use and
resistance reporting.
Transmission to Public Health Agencies—health care surveys ...
Automated Numerator Recording .................................................
Automated Measure Calculation ..................................................
Safety-enhanced Design ..............................................................
Quality Management System .......................................................
Consolidated CDA Creation Performance ....................................
Application Access to Common Clinical Data Set .......................
Accessibility-Centered Design ......................................................
Direct Project ................................................................................
Direct Project, Edge Protocol, and XDR/XDM .............................
..........
..........
..........
..........
..........
..........
..........
..........
..........
..........
Average
low
($)
Average
high
($)
1,567,090
0
0
8,608,320
4,407,921
1,626,870
1,317,600
732,000
9,120,720
2,711,450
6,039,000
22,966,195
8,198,400
14,392,035
1,117,0320
3,006,080
0
0
0
0
0
0
0
0
15,628,200
0
9,146,340
6,251,280
3,134,180
777,140
770,735
17,216,640
8,815,842
3,253,740
2,635,200
1,756,800
18,241,440
5,422,900
9,333,000
45,932,390
16,396,800
28,784,070
22,340,640
7,515,200
1,018,395
830,515
854,000
742,980
1,018,395
941,535
815,570
952,210
31,256,400
751,520
18,292,680
12,502,560
1,554,280
3,108,560
683,200
640,500
640,500
1,366,400
1,281,000
1,281,000
640,500
2,766,960
9,684,360
4867800
9,803,920
5,904,800
7,381,000
1,225,490
0
0
1,281,000
5,533,920
19,368,720
9,735,600
19,607,840
14,762,000
14,762,000
2,450,980
427,000
213,500
TABLE 9—TOTAL DEVELOPMENT AND PREPARATION COSTS PER CRITERION FOR HEALTH IT DEVELOPERS—CRITERIA NOT
ASSOCIATED WITH THE EHR INCENTIVE PROGRAMS STAGE 3
[‘‘Stage 3 Criteria’’]
Average cost estimates ($)
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
Item No.
1
2
3
4
5
6
7
8
9
............
............
............
............
............
............
............
............
............
CFR text
Certification criterion name
§ 170.315(a)(6) ..........................
§ 170.315(a)(13) ........................
§ 170.315(a)(16) ........................
§ 170.315(a)(18) ........................
§ 170.315(a)(21) ........................
§ 170.315(a)(22) ........................
§ 170.315(a)(23) ........................
§ 170.315(b)(4) ..........................
§ 170.315(b)(5) ..........................
Vital Signs, BMI, and Growth Charts ...........................................
Image Results ...............................................................................
Patient List Creation .....................................................................
Electronic Medication Administration Record ...............................
Social, Psychological, and Behavioral Data .................................
Decision Support—knowledge artifact ..........................................
Decision Support—service ...........................................................
Incorporate Laboratory Tests and Values/Results .......................
Transmission of Laboratory Test Reports ....................................
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E:\FR\FM\30MRP2.SGM
Average
low
($)
30MRP2
599,264
0
0
0
229,360
384,544
223,504
305,488
351,360
Average
high
($)
899,872
19,520
19,520
19,520
458,720
769,088
447,008
610,976
702,720
16900
Federal Register / Vol. 80, No. 60 / Monday, March 30, 2015 / Proposed Rules
TABLE 9—TOTAL DEVELOPMENT AND PREPARATION COSTS PER CRITERION FOR HEALTH IT DEVELOPERS—CRITERIA NOT
ASSOCIATED WITH THE EHR INCENTIVE PROGRAMS STAGE 3—Continued
[‘‘Stage 3 Criteria’’]
Average cost estimates ($)
Item No.
10
11
12
13
14
15
16
17
..........
..........
..........
..........
..........
..........
..........
..........
18 ..........
19 ..........
20 ..........
CFR text
§ 170.315(b)(7)
§ 170.315(b)(8)
§ 170.315(b)(9)
§ 170.315(c)(2)
§ 170.315(c)(4)
§ 170.315(d)(9)
§ 170.315(g)(5)
§ 170.315(h)(3)
Certification criterion name
..........................
..........................
..........................
..........................
..........................
..........................
..........................
..........................
§ 170.315(h)(4) ..........................
§ 170.315(h)(5) ..........................
§ 170.315(i)(1) ...........................
Average
low
($)
Data Segmentation for Privacy—send .........................................
Data Segmentation for Privacy—receive .....................................
Care Plan ......................................................................................
CQMs—import and calculate ........................................................
CQMs—filter .................................................................................
Accounting of Disclosures ............................................................
Accessibility Technology Compatibility .........................................
SOAP Transport and Security Specification and XDR/XDR for
Direct Messaging.
Healthcare Provider Directory—query request .............................
Healthcare Provider Directory—query response ..........................
Electronic Submission of Medical Documentation .......................
ii. Overall Development and Preparation
Costs Over a Four-Year Period
We estimate the development and
preparation costs over a four-year period
because a four-year period aligns with
our estimated publication date for a
subsequent final rule (Summer 2015)
and the year in which CMS proposes
that participants in the EHR Incentive
Programs must use health IT certified to
the 2015 Edition (2018) (see the EHR
Incentive Programs Stage 3 proposed
rule published elsewhere in this issue of
the Federal Register).
In total, we estimate the overall costs
to develop and prepare health IT for
certification over a four-year period to
be $197.43 million to $407.20 million,
with a cost mid-point of approximately
$302.32 million. Evenly distributed over
calendar years 2015 through 2018, the
cost range would be $49.36 million to
$101.80 per year with an annual cost
mid-point of approximately $75.58.
However, we project these costs to be
unevenly distributed. We estimate the
distribution as follows: 2015 (25%);
2016 (30%); 2017 (30%); and 2018
(15%). We reached this distribution
based on these assumptions and
information:
• We expect a subsequent 2015
Edition final rule to be published in the
summer of 2015 and for health IT
developers to spend the rest of the year
preparing and developing their health
IT to meet the 2015 Edition.
Average
high
($)
439,200
439,200
292,800
0
308,416
0
780,800
0
878,400
878,400
488000
195,200
616,832
19,520
1,366,400
19,520
117,120
117,120
976,000
234,240
234,240
1,952,000
• We expect health IT developers to
aggressively work in 2016 and 2017 to
prepare and develop their health IT to
meet the 2015 Edition as the compliance
date for the EHR Incentive Programs
CEHRT definition draws near (i.e., 2018)
and because health IT certified to the
2015 Edition could be used in 2017
under the EHR Incentive Programs Stage
3 proposal for the CEHRT definition.
• We expect health IT developers to
continue to prepare and develop health
IT to the 2015 Edition in 2018 based on
their approach to the 2014 Edition.
Table 10 below represents the costs
attributable to this proposed rule
distributed as discussed above. The
dollar amounts expressed in Table 10
are expressed in 2013 dollars.
TABLE 10—DISTRIBUTED TOTAL DEVELOPMENT AND PREPARATION COSTS FOR HEALTH IT DEVELOPERS (4-YEAR
PERIOD)—TOTALS ROUNDED
Ratio
(%)
Year
2015
2016
2017
2018
Total low
cost estimate
($M)
Total high
cost estimate
($M)
Total average
cost estimate
($M)
...................................................................................................................
...................................................................................................................
...................................................................................................................
...................................................................................................................
25
30
30
15
49.36
59.23
59.23
29.61
101.80
122.16
122.16
61.08
75.58
90.70
90.70
45.35
4-Year Totals ..............................................................................................
................
197.43
407.20
302.32
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iii. Testing and Certification Costs for
the 2015 Edition
In the RIA of the Permanent
Certification Program final rule, we
estimated the costs for testing and
certification of technologies that would
be used for providers to attempt to
achieve EHR Incentive Programs Stages
1–3.267 These costs were based on the
267 76
FR 1318
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requirements of the certification
program and a two-year rulemaking
cycle for the CEHRT definition and each
EHR Incentive Programs stage. We
believe the costs we attributed to testing
and certification of technologies in
support of EHR Incentive Programs
Stage 2 in the Permanent Certification
Program final rule would encompass the
actual testing and certification of
technologies to both the 2014 and 2015
Editions. This assessment is based on
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the number of technologies currently
certified to the 2014 Edition and our
projections in this proposed rule for the
number of technologies that would
likely be tested and certified to the 2015
Edition. Further, we note that the
estimated costs in the Permanent
Certification Program final rule
included costs for surveillance of
technologies and also estimated the
costs for testing and certification above
what we understand are the cost ranges
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2. Regulatory Flexibility Act (RFA)
The RFA requires agencies to analyze
options for regulatory relief of small
businesses if a rule has a significant
impact on a substantial number of small
entities.
The Small Business Administration
(SBA) establishes the size of small
businesses for federal government
programs based on average annual
receipts or the average employment of a
firm. While health IT developers that
pursue certification under the ONC
Health IT Certification Program
represent a small segment of the overall
information technology industry, we
believe that the entities impacted by this
proposed rule most likely fall under the
North American Industry Classification
System (NAICS) code 541511 ‘‘Custom
Computer Programming Services’’
specified at 13 CFR 121.201 where the
SBA publishes ‘‘Small Business Size
Standards by NAICS Industry.’’ The
SBA size standard associated with this
NAICS code is set at $27.5 million in
annual receipts 269 which ‘‘indicates the
maximum allowed for a concern and its
affiliates to be considered small
entities.’’
Based on our analysis, we believe that
there is enough data generally available
to establish that between 75% and 90%
of entities that are categorized under the
NAICS code 541511 are under the SBA
size standard, but note that the available
data does not show how many of these
entities will develop a health IT product
that will be certified to the 2015 Edition
under the ONC Health IT Certification
Program. We also note that with the
exception of aggregate business
information available through the U.S.
Census Bureau and the SBA related to
NAICS code 541511, it appears that
many health IT developers that pursue
certification under the ONC Health IT
Certification Program are privately held
or owned and do not regularly, if at all,
make their specific annual receipts
publicly available. As a result, it is
difficult to locate empirical data related
to many of these health IT developers to
correlate to the SBA size standard.
However, although not correlated to the
size standard for NAICS code 541511,
we do have information indicating that
over 60% of health IT developers that
have had Complete EHRs and/or EHR
Modules certified to the 2011 Edition
have less than 51 employees.
We estimate that this proposed rule
would have effects on health IT
developers that are likely to pursue
certification under the ONC Health IT
Certification Program, some of which
may be small entities. However, we
believe that we have proposed the
minimum amount of requirements
necessary to accomplish our policy
goals, including a reduction in
regulatory burden and additional
268 We note that, in general, these benefits will be
realized only if health care providers actually adopt
new technology. As discussed elsewhere in this
RIA, we believe that such adoption—and thus the
benefits noted in this section—would be
overwhelmingly attributable to CMS’s proposed
rulemaking.
269 The SBA references that annual receipts
means ‘‘total income’’ (or in the case of a sole
proprietorship, ‘‘gross income’’) plus ‘‘cost of goods
sold’’ as these terms are defined and reported on
Internal Revenue Service tax return forms. https://
www.sba.gov/sites/default/files/files/Size_
Standards_Table.pdf
charged by ONC–ACBs today. We
welcome comments on our
determination and our cost estimates.
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
b. Benefits
We believe that there will be several
significant benefits that may arise from
this proposed rule for patients, health
care providers, and health IT
developers. The 2015 Edition continues
to improve health IT interoperability
through the adoption of new and
updated standards and implementation
specifications. For example, many
proposed certification criteria include
standards and implementation
specifications for interoperability that
directly support the EHR Incentive
Programs, which include objectives and
measures for the interoperable exchange
of health information and for providing
patients electronic access to their health
information in structured formats. In
addition, proposed certification criteria
that support the collection of patient
data that could be used to address
health disparities would not only
benefit patients, but the entire health
care delivery system through improved
quality of care. The 2015 Edition also
supports usability and patient safety
through new and enhanced certification
requirements for health IT.
Our proposals to make the ONC
Health IT Certification Program open
and accessible to more types of health
IT and for health IT that supports a
variety of care and practice settings
should benefit health IT developers,
providers practicing in other care/
practice settings, and consumers
through the availability and use of
certified health IT that includes
capabilities that promote
interoperability and enhanced
functionality.268
We welcome comment on other
benefits, including monetary savings,
which could be achieved through the
proposals we have put forth in this
proposed rule.
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16901
flexibility for the regulated community,
and that no additional appropriate
regulatory alternatives could be
developed to lessen the compliance
burden associated with this proposed
rule. We note that this proposed rule
does not impose the costs cited in the
RIA as compliance costs, but rather as
investments which these health IT
developers voluntarily take on and
expect to recover with an appropriate
rate of return. Accordingly, we do not
believe that the proposed rule will
create a significant impact on a
substantial number of small entities, but
request comment on whether there are
small entities that we have not
identified that may be affected in a
significant way by this proposed rule.
Additionally, the Secretary certifies that
this proposed rule will not have a
significant impact on a substantial
number of small entities.
3. Executive Order 13132—Federalism
Executive Order 13132 establishes
certain requirements that an agency
must meet when it promulgates a
proposed rule (and subsequent final
rule) that imposes substantial direct
requirement costs on state and local
governments, preempts state law, or
otherwise has federalism implications.
Nothing in this proposed rule imposes
substantial direct compliance costs on
state and local governments, preempts
state law or otherwise has federalism
implications. We are not aware of any
State laws or regulations that are
contradicted or impeded by any of the
standards, implementation
specifications, or certification criteria
that we propose for adoption.
4. Unfunded Mandates Reform Act of
1995
Section 202 of the Unfunded
Mandates Reform Act of 1995 requires
that agencies assess anticipated costs
and benefits before issuing any rule
whose mandates require spending in
any one year of $100 million in 1995
dollars, updated annually for inflation.
The current inflation-adjusted statutory
threshold is approximately $141
million. This proposed rule will not
impose an unfunded mandate on State,
local, and tribal governments or on the
private sector that will reach the
threshold level.
OMB reviewed this proposed rule.
List of Subjects in 45 CFR Part 170
Computer technology, Electronic
health record, Electronic information
system, Electronic transactions, Health,
Health care, Health information
technology, Health insurance, Health
records, Hospitals, Incorporation by
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Federal Register / Vol. 80, No. 60 / Monday, March 30, 2015 / Proposed Rules
reference, Laboratories, Medicaid,
Medicare, Privacy, Reporting and
recordkeeping requirements, Public
health, Security.
For the reasons set forth in the
preamble, 45 CFR subtitle A, subchapter
D, part 170, is proposed to be amended
as follows:
PART 170—HEALTH INFORMATION
TECHNOLOGY STANDARDS,
IMPLEMENTATION SPECIFICATIONS,
AND CERTIFICATION CRITERIA AND
CERTIFICATION PROGRAMS FOR
HEALTH INFORMATION
TECHNOLOGY
1. The authority citation for part 170
continues to read as follows:
■
Authority: 42 U.S.C. 300jj–11; 42 U.S.C.
300jj–14; 5 U.S.C. 552.
2. Amend § 170.102 by:
a. Removing the ‘‘Base EHR’’,
‘‘Certified EHR Technology’’, ‘‘Common
MU Data Set’’, and ‘‘EHR Module’’
definitions; and
■ b. Adding in alphanumeric order the
definitions for ‘‘2014 Edition Base
EHR’’, ‘‘2015 Edition Base EHR’’, ‘‘2015
Edition health IT certification criteria’’,
‘‘Common Clinical Data Set’’, ‘‘Device
identifier’’, ‘‘Global Unique Device
Identification Database (GUDID)’’,
‘‘Health IT Module’’, ‘‘Implantable
device’’, ‘‘Production identifier’’, and
‘‘Unique device identifier’’.
The revisions read as follows:
■
■
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
§ 170.102
Definitions.
2014 Edition Base EHR means an
electronic record of health-related
information on an individual that:
(1) Includes patient demographic and
clinical health information, such as
medical history and problem lists;
(2) Has the capacity:
(i) To provide clinical decision
support;
(ii) To support physician order entry;
(iii) To capture and query information
relevant to health care quality;
(iv) To exchange electronic health
information with, and integrate such
information from other sources;
(v) To protect the confidentiality,
integrity, and availability of health
information stored and exchanged; and
(3) Has been certified to the
certification criteria adopted by the
Secretary:
(i) For at least one of the four criteria
adopted at § 170.314(a)(1), (18), (19), or
(20);
(ii) At § 170.314(a)(3);
(iii) At § 170.314(a)(5) through (8);
(iv) Both § 170.314(b)(1) and (2); or,
both § 170.314(b)(8) and (h)(1); or
§ 170.314(b)(1) and (2) combined with
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either § 170.314(b)(8) or (h)(1), or both
§ 170.314(b)(8) and (h)(1);
(v) At § 170.314(b)(7);
(vi) At § 170.314(c)(1) through (3);
(vii) At § 170.314(d)(1) through (8);
(4) Has been certified to the
certification criteria at § 170.314(c)(1)
and (2):
(i) For no fewer than 9 clinical quality
measures covering at least 3 domains
from the set selected by CMS for eligible
professionals, including at least 6
clinical quality measures from the
recommended core set identified by
CMS; or
(ii) For no fewer than 16 clinical
quality measures covering at least 3
domains from the set selected by CMS
for eligible hospitals and critical access
hospitals.
*
*
*
*
*
2015 Edition Base EHR means an
electronic record of health-related
information on an individual that:
(1) Includes patient demographic and
clinical health information, such as
medical history and problem lists;
(2) Has the capacity:
(i) To provide clinical decision
support;
(ii) To support physician order entry;
(iii) To capture and query information
relevant to health care quality;
(iv) To exchange electronic health
information with, and integrate such
information from other sources; and
(3) Has been certified to the
certification criteria adopted by the
Secretary at § 170.315(a)(1), (2), or (3);
(a)(5); (a)(7) through (10); (a)(12); (a)(20);
(b)(1) and (6); (c)(1); (g)(7) and (h)(1) or
(2);
(4) [Reserved]
2015 Edition health IT certification
criteria means the certification criteria
at § 170.315.
*
*
*
*
*
Common Clinical Data Set means the
following data expressed, where
indicated, according to the specified
standard(s):
(1) Patient name. For certification to
both the 2014 Edition EHR certification
criteria and the 2015 Edition health IT
certification criteria.
(2) Sex. (i) No required standard for
certification to the 2014 Edition EHR
certification criteria.
(ii) The standard specified in
§ 170.207(n)(1) for certification to the
2015 Edition health IT certification
criteria.
(3) Date of birth. For certification to
both the 2014 Edition EHR certification
criteria and the 2015 Edition health IT
certification criteria.
(4) Race. (i) The standard specified in
§ 170.207(f)(1) for certification to the
2014 Edition EHR certification criteria.
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(ii) For certification to the 2015
Edition health IT certification criteria:
(A) The standard specified in
§ 170.207(f)(2);
(B) The standard specified in
§ 170.207(f)(1) for each race identified in
accordance § 170.207(f)(2).
(5) Ethnicity. (i) The standard
specified in § 170.207(f)(1) for
certification to the 2014 Edition EHR
certification criteria.
(ii) For certification to the 2015
Edition health IT certification criteria:
(A) The standard specified in
§ 170.207(f)(2);
(B) The standard specified in
§ 170.207(f)(1) for each ethnicity
identified in accordance § 170.207(f)(2).
(6) Preferred language. (i) The
standard specified in § 170.207(g)(1) for
certification to the 2014 Edition EHR
certification criteria.
(ii) The standard specified in
§ 170.207(g)(2) for certification to the
2015 Edition Health IT certification
criteria.
(7) Smoking status. For certification to
both the 2014 Edition EHR certification
criteria and the 2015 Edition health IT
certification criteria: The standard
specified in § 170.207(h).
(8) Problems. (i) At a minimum, the
standard specified in § 170.207(a)(3) for
certification to the 2014 Edition EHR
certification criteria.
(ii) At a minimum, the standard
specified in § 170.207(a)(4) for
certification to the 2015 Edition Health
IT certification criteria.
(9) Medications. (i) At a minimum, the
standard specified in § 170.207(d)(2) for
certification to the 2014 Edition EHR
certification criteria.
(ii) At a minimum, the standard
specified in § 170.207(d)(3) for
certification to the 2015 Edition Health
IT certification criteria.
(10) Medication allergies. (i) At a
minimum, the standard specified in
§ 170.207(d)(2) for certification to the
2014 Edition EHR certification criteria.
(ii) At a minimum, the standard
specified in § 170.207(d)(3) for
certification to the 2015 Edition Health
IT certification criteria.
(11) Laboratory test(s). (i) At a
minimum, the standard specified in
§ 170.207(c)(2) for certification to the
2014 Edition EHR certification criteria.
(ii) At a minimum, the standard
specified in § 170.207(c)(3) for
certification to the 2015 Edition Health
IT certification criteria.
(12) Laboratory value(s)/result(s). For
certification to both the 2014 Edition
EHR certification criteria and the 2015
Edition health IT certification criteria.
(13) Vital signs. (i) Height/length,
weight, blood pressure, and BMI for
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certification to the 2014 Edition EHR
certification criteria.
(ii) For certification to the 2015
Edition Health IT certification criteria:
(A) The patient’s body height, body
weight measured, diastolic blood
pressure, systolic blood pressure, heart
rate, respiratory rate, body temperature,
oxygen saturation in arterial blood by
pulse oximetry, body mass index (ratio),
and mean blood pressure must be
recorded in numerical values only;
(B) In accordance with the standard
specified in § 170.207(k)(1) and with the
associated applicable unit of measure
for the vital sign in the standard
specified in § 170.207(m)(1); and
including
(1) Date and time of vital sign
measurement or end time of vital sign
measurement;
(2) The measuring- or authoring-type
source of the vital sign measurement;
and
(3) Optional. Date and time of vital
sign measurement or end time of vital
sign measurement in accordance with
the standard in § 170.210(g).
(14) Care plan field(s), including goals
and instructions. For certification to the
2014 Edition EHR certification criteria.
(15) Procedures—
(i)(A) At a minimum, the version of
the standard specified in § 170.207(a)(3)
for certification to the 2014 Edition EHR
certification criteria and § 170.207(a)(4)
for certification to the 2015 Edition
health IT certification criteria, or
§ 170.207(b)(2); or
(B) For technology primarily
developed to record dental procedures,
the standard specified in § 170.207(b)(3)
for certification to both the 2014 Edition
EHR certification criteria and the 2015
Edition health IT certification criteria.
(ii) Optional. The standard specified
at § 170.207(b)(4) for certification to
both the 2014 Edition EHR certification
criteria and the 2015 Edition health IT
certification criteria.
(16) Care team member(s). For
certification to both the 2014 Edition
EHR certification criteria and the 2015
Edition health IT certification criteria.
(17) Immunizations. In accordance
with, at a minimum, the standards
specified in § 170.207(e)(3) and (4) for
certification to the 2015 Edition health
IT certification criteria.
(18) Unique device identifier(s) for a
patient’s implantable device(s). For
certification to the 2015 Edition health
IT certification criteria.
(19) Assessment and plan of
treatment. For certification to the 2015
Edition health IT certification criteria:
(i) In accordance with the
‘‘Assessment and Plan Section (V2)’’ of
the standard specified in § 170.205(a)(4);
or
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(ii) In accordance with the
‘‘Assessment Section (V2)’’ and ‘‘Plan of
Treatment Section (V2)’’ of the standard
specified in § 170.205(a)(4).
(20) Goals. In accordance with the
‘‘Goals Section’’ of the standard
specified in § 170.205(a)(4) for
certification to the 2015 Edition health
IT certification criteria.
(21) Health concerns. In accordance
with the ‘‘Health Concerns Section’’ of
the standard specified in § 170.205(a)(4)
for certification to the 2015 Edition
health IT certification criteria.
*
*
*
*
*
Device identifier is defined as it is in
21 CFR 801.3.
*
*
*
*
*
Global Unique Device Identification
Database (GUDID) is defined as it is in
21 CFR 801.3.
Health IT Module means any service,
component, or combination thereof that
can meet the requirements of at least
one certification criterion adopted by
the Secretary.
*
*
*
*
*
Implantable device is defined as it is
in 21 CFR 801.3.
*
*
*
*
*
Production identifier is defined as it is
in 21 CFR 801.3.
*
*
*
*
*
Unique device identifier is defined as
it is in 21 CFR 801.3.
§ 170.200
[Amended]
3. In § 170.200, remove the term ‘‘EHR
Modules’’ and add in its place ‘‘Health
IT Modules.’’
■ 4. In § 170.202, revise the section
heading and add paragraphs (e) and (f)
to read as follows:
■
§ 170.202 Transport standards and other
protocols.
*
*
*
*
*
(e) Delivery notification—(1)
Standard. ONC Implementation Guide
for Delivery Notification in Direct.
(2) [Reserved]
(f) Provider directories—(1) Standard.
Healthcare Provider Directory, Trial
Implementation, October 13, 2014.
(2) [Reserved]
■ 5. Amend § 170.204 by—
■ a. Revising paragraphs (a) and (b)(2);
and
■ b. Adding paragraphs (b)(3) and (4),
(d), and (e).
The additions and revisions read as
follows:
§ 170.204
Functional standards.
*
*
*
*
*
(a) Accessibility—(1) Standard. Web
Content Accessibility Guidelines
(WCAG) 2.0, Level A Conformance
(incorporated by reference in § 170.299).
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16903
(2) [Reserved]
(b) * * *
(2) Implementation specifications.
HL7 Implementation Guide: ServiceOriented Architecture Implementations
of the Context-aware Knowledge
Retrieval (Infobutton) Domain, Draft
Standard for Trial Use, Release 1.
(3) Standard. HL7 Version 3 Standard:
Context Aware Knowledge Retrieval
Application. (‘‘Infobutton’’), Knowledge
Request, Release 2. Implementation
specifications. HL7 Implementation
Guide: Service-Oriented Architecture
Implementations of the Context-aware
Knowledge Retrieval (Infobutton)
Domain, Release 1.
(4) Standard. HL7 Version 3 Standard:
Context Aware Knowledge Retrieval
Application (‘‘Infobutton’’), Knowledge
Request, Release 2. Implementation
specifications. HL7 Version 3
Implementation Guide: Context-Aware
Knowledge Retrieval (Infobutton),
Release 4.
*
*
*
*
*
(d) Clinical decision support
knowledge artifacts—(1) Standard. HL7
Version 3 Standard: Clinical Decision
Support Knowledge Artifact
Specification, Release 1.2, Draft
Standard for Trial Use.
(2) [Reserved]
(e) Clinical decision support service.
(1) HL7 Implementation Guide: Decision
Support Service, Release 1.1, US Realm,
Draft Standard for Trial Use.
(2) [Reserved]
■ 6. Amend § 170.205 by—
■ a. Adding paragraphs (a)(4) and (5),
(d)(4), and (e)(4);
■ b. Revising paragraphs (g), (i), and (j);
and
■ c. Adding paragraphs (l), (m), (n), (o),
(p), (q), (r), and (s).
The additions and revisions read as
follows:
§ 170.205 Content exchange standards
and implementation specifications for
exchanging electronic health information.
*
*
*
*
*
(a) * * *
(4) Standard. HL7 Implementation
Guide for CDA® Release 2: Consolidated
CDA Templates for Clinical Notes, Draft
Standard for Trial Use, Release 2.0.
(5) Implementation specifications. (i)
HL7 Implementation Guide for CDA®
Release 2: Additional CDA R2
Templates—Clinical Documents for
Payers—Set 1, Release 1—US Realm.
(ii) HL7 Implementation Guide for
CDA Release 2: Digital Signatures and
Delegation of Rights, Release 1.
(iii) Author of Record Level 1:
Implementation Guide.
(iv) Provider Profiles Authentication:
Registration Implementation Guide.
*
*
*
*
*
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(d) * * *
(4) Standard. HL7 2.5.1 (incorporated
by reference in § 170.299).
Implementation specifications. PHIN
Messaging Guide for Syndromic
Surveillance: Emergency Department,
Urgent, Ambulatory Care, and Inpatient
Settings, Release 2.0.
(e) * * *
(4) Standard. HL7 2.5.1 (incorporated
by reference in § 170.299).
Implementation specifications. HL7
2.5.1 Implementation Guide for
Immunization Messaging, Release 1.5.
*
*
*
*
*
(g) Electronic transmission of lab
results to public health agencies—(1)
Standard. HL7 2.5.1 (incorporated by
reference in § 170.299). Implementation
specifications. HL7 Version 2.5.1
Implementation Guide: Electronic
Laboratory Reporting to Public Health,
Release 1 (incorporated by reference in
§ 170.299) with Errata and
Clarifications, (incorporated by
reference in § 170.299) and ELR 2.5.1
Clarification Document for EHR
Technology Certification (incorporated
by reference in § 170.299).
(2) Standard. HL7 2.5.1 (incorporated
by reference in § 170.299).
Implementation specifications. HL7
Version 2.5.1 Implementation Guide:
Electronic Laboratory Reporting to
Public Health, Release 2 (US Realm),
Draft Standard for Trial Use, Release
1.1.
*
*
*
*
*
(i) Cancer information—(1) Standard.
HL7 Clinical Document Architecture
(CDA), Release 2.0, Normative Edition
(incorporated by reference in § 170.299).
Implementation specifications.
Implementation Guide for Ambulatory
Healthcare Provider Reporting to
Central Cancer Registries, HL7 Clinical
Document Architecture (CDA), Release
1.0 (incorporated by reference in
§ 170.299).
(2) Standard. HL7 Clinical Document
Architecture (CDA), Release 2.0,
Normative Edition (incorporated by
reference in § 170.299). Implementation
specifications. HL7 Implementation
Guide for CDA © Release 2: Reporting to
Public Health Cancer Registries from
Ambulatory Healthcare Providers,
Release 1.
(j) Electronic incorporation and
transmission of lab results—(1)
Standard. HL7 Version 2.5.1
Implementation Guide: S&I Framework
Lab Results Interface (incorporated by
reference in § 170.299).
(2) Standard. HL7 Version 2.5.1
Implementation Guide: S&I Framework
Lab Results Interface, Draft Standard for
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Trial Use, Release 2—US Realm (S&I
Framework LRI).
*
*
*
*
*
(l) Laboratory orders—(1) Standard.
HL7 Version 2.5.1 Implementation
Guide: S&I Framework Laboratory
Orders from EHR, Draft Standard for
Trial Use, Release 2—US Realm.
(2) Standard. HL7 Version 2.5.1
Implementation Guide: S&I Framework
Laboratory Test Compendium
Framework, Release 2, Version 1.2.
(m) Family health history. (1) HL7
Version 3 Standard: Clinical Genomics;
Pedigree (incorporated by reference in
§ 170.299). Implementation
specifications. HL7 Version 3
Implementation Guide: Family History/
Pedigree Interoperability.
(2) [Reserved]
(n) Drug formulary checking—(1)
Standard. The standard specified at 42
CFR 423.160(b)(5)(iii).
(2) [Reserved]
(o) Data segmentation for privacy—(1)
Standard. HL7 Implementation Guide:
Data Segmentation for Privacy (DS4P),
Release 1.
(2) [Reserved]
(p) XDM package processing—(1)
Standard. IHE IT Infrastructure
Technical Framework Volume 2b (ITI
TF–2b).
(2) [Reserved]
(q) Public health—case reporting
information—(1) Standard. IHE Quality,
Research, and Public Health Technical
Framework Supplement, Structured
Data Capture, Trial Implementation.
(2) [Reserved]
(r) Public health—antimicrobial use
and resistance information—(1)
Standard. The following sections of HL7
Implementation Guide for CDA®
Release 2—Level 3: Healthcare
Associated Infection Reports, Release 1,
U.S. Realm. Technology is only required
to conform to the following sections of
the implementation guide:
(i) HAI Antimicrobial Use and
Resistance (AUR) Antimicrobial
Resistance Option (ARO) Report
(Numerator) specific document template
in Section 2.1.2.1 (pages 69–72);
(ii) Antimicrobial Resistance Option
(ARO) Summary Report (Denominator)
specific document template in Section
2.1.1.1 (pages 54–56); and
(iii) Antimicrobial Use (AUP)
Summary Report (Numerator and
Denominator) specific document
template in Section 2.1.1.2 (pages 56–
58).
(2) [Reserved]
(s) Public health—health care survey
information—(1) Standard. HL7
Implementation Guide for CDA Release
2: National Health Care Surveys
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(NHCS), Release 1—US Realm, Draft
Standard for Trial Use.
(2) [Reserved]
■ 7. Amend § 170.207 by—
■ a. Adding paragraphs (a)(4), (c)(3),
(d)(3), (e)(3) and (4);
■ b. Revising paragraphs (f) and (g); and
■ c. Adding paragraph (k), reserved
paragraph (l), and paragraphs (m), (n),
and (o).
The additions and revisions read as
follows:
§ 170.207 Vocabulary standards for
representing electronic health information.
*
*
*
*
*
(a) * * *
(4) Standard. IHTSDO SNOMED CT®,
U.S. Edition, September 2014 Release.
*
*
*
*
*
(c) * * *
(3) Standard. Logical Observation
Identifiers Names and Codes (LOINC®)
Database version 2.50, a universal code
system for identifying laboratory and
clinical observations produced by the
Regenstrief Institute, Inc.
(d) * * *
(3) Standard. RxNorm, a standardized
nomenclature for clinical drugs
produced by the United States National
Library of Medicine, February 2, 2014
Release.
(e) * * *
(3) Standard. HL7 Standard Code Set
CVX—Vaccines Administered, updates
through February 2, 2015.
(4) Standard. National Drug Code
Directory—Vaccine Codes, updates
through January 15, 2015.
(f) Race and Ethnicity—(1) Standard.
The Office of Management and Budget
Standards for Maintaining, Collecting,
and Presenting Federal Data on Race
and Ethnicity, Statistical Policy
Directive No. 15, as revised, October 30,
1997.
(2) Standard. ‘‘Race & Ethnicity—
CDC’’ code system in the PHIN
Vocabulary Access and Distribution
System (VADS), Release 3.3.9.
(g) Preferred language—(1) Standard.
As specified by the Library of Congress,
ISO 639–2 alpha-3 codes limited to
those that also have a corresponding
alpha-2 code in ISO 639–1 (incorporated
by reference in § 170.299).
(2) Standard. Request for Comments
(RFC) 5646.
*
*
*
*
*
(k) Vital signs—(1) Standard. Vital
signs must be identified, at a minimum,
with the version of LOINC® codes
adopted at paragraph (c)(3) of this
section attributed as follows:
(i) Systolic blood pressure. 8480–6
(ii) Diastolic blood pressure. 8462–4
(iii) Body height. 8302–2
(iv) Body weight measured. 3141–9
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(v) Heart rate. 8867–4
(vi) Respiratory rate. 9279–1
(vii) Body temperature. 8310–5
(viii) Oxygen saturation in arterial
blood by pulse oximetry. 59408–5
(ix) Body mass index (BMI) [ratio].
39156–5
(x) Mean blood pressure. 8478–0
(2) [Reserved]
(l) [Reserved]
(m) Numerical references—(1)
Standard. The Unified Code of Units of
Measure, Revision 1.9.
(2) [Reserved]
(n) Sex—(1) Standard. Birth sex must
be coded in accordance with HL7
Version 3 attributed as follows:
(i) Male. M
(ii) Female. F
(iii) Unknown. UNK
(2) [Reserved]
(o) Social, psychological, and
behavioral data—(1) Standard. Sexual
orientation must be coded in accordance
with, at a minimum, the version of
SNOMED CT® codes adopted at
paragraph (a)(4) of this section for
paragraphs (o)(1)(i) through (iii) of this
section and HL7 Version 3 for
paragraphs (o)(1)(iv) through (vi) of this
section, attributed as follows:
(i) Homosexual. 38628009
(ii) Heterosexual. 20430005
(iii) Bisexual. 42035005
(iv) Other. nullFlavor OTH
(v) Asked but unknown. nullFlavor
ASKU
(vi) Unknown. nullFlavor UNK
(2) Standard. Gender identity must be
coded in accordance with, at a
minimum, the version of SNOMED CT®
codes adopted at paragraph (a)(4) of this
section for paragraphs (o)(2)(i) through
(v) of this section and HL7 Version 3 for
paragraphs (o)(2)(vi) and (vii) of this
section, attributed as follows:
(i) Identifies as male gender.
446151000124109
(ii) Identifies as female gender.
446141000124107
(iii) Female-to-male transsexual.
407377005
(iv) Male-to-female transsexual.
407376001
(v) Identifies as non-conforming
gender. 446131000124102
(vi) Other. nullFlavor OTH
(vii) Asked but unknown. nullFlavor
ASKU
(3) Financial resource strain.
Financial resource strain must be coded
in accordance with, at a minimum, the
version of LOINC® codes adopted at
paragraph (c)(3) of this section and
attributed with the LOINC® code and
LOINC® answer list ID.
(4) Education. Education must be
coded in accordance with, at a
minimum, the version of LOINC® codes
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adopted at paragraph (c)(3) of this
section and attributed with LOINC®
code 63504–5 and LOINC® answer list
ID LL1069–5.
(5) Stress. Stress must be coded in
accordance with, at a minimum, the
version of LOINC® codes adopted at
paragraph (c)(3) of this section and
attributed with the LOINC® code and
LOINC® answer list ID.
(6) Depression. Depression must be
coded in accordance with, at a
minimum, the version of LOINC® codes
adopted at paragraph (c)(3) of this
section and attributed with LOINC®
codes 55757–9, 44250–9 (with LOINC®
answer list ID LL358–3), 44255–8 (with
LOINC® answer list ID LL358–3), and
55758–7 (with the answer coded with
the associated applicable unit of
measure in the standard specified in
§ 170.207(m)(1)).
(7) Physical activity. Physical activity
must be coded in accordance with, at a
minimum, the version of LOINC® codes
adopted at paragraph (c)(3) of this
section and attributed with LOINC®
codes 68515–6 and 68516–4. The
answers must be coded with the
associated applicable unit of measure in
the standard specified in
§ 170.207(m)(1).
(8) Alcohol use. Alcohol use must be
coded in accordance with, at a
minimum, the version of LOINC® codes
adopted at paragraph (c)(3) of this
section and attributed with LOINC®
codes 72109–2, 68518–0 (with LOINC®
answer list ID LL2179–1), 68519–8 (with
LOINC® answer list ID LL2180–9),
68520–6 (LOINC® answer list ID
LL2181–7), and 75626–2.
(9) Social connection and isolation.
Social connection and isolation must be
coded in accordance with, at a
minimum, the version of LOINC® codes
adopted at paragraph (c)(3) of this
section and attributed with the LOINC®
code and LOINC® answer list ID.
(10) Exposure to violence (intimate
partner violence). Exposure to violence:
intimate partner violence must be coded
in accordance with, at a minimum, the
version of LOINC® codes adopted at
paragraph (c)(3) of this section and
attributed with the LOINC® code and
LOINC® answer list ID.
■ 8. In § 170.210:
■ a. Amend paragraphs (e)(1)(i) and
(e)(3) by removing the term ‘‘EHR
technology’’ and adding in its place
‘‘health IT’’; and
■ b. Add paragraph (a)(3).
The addition reads as follows:
§ 170.210 Standards for health information
technology to protect electronic health
information created, maintained, and
exchanged.
*
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(a) * * *
(3) General. Any encryption algorithm
identified by the National Institute of
Standards and Technology (NIST) as an
approved security function in Annex A
of the Federal Information Processing
Standards (FIPS) Publication 140–2,
October 8, 2014.
*
*
*
*
*
■ 9. In § 170.300, revise paragraph (d) to
read as follows:
§ 170.300
Applicability.
*
*
*
*
*
(d) In §§ 170.314 and 170.315, all
certification criteria and all capabilities
specified within a certification criterion
have general applicability (i.e., apply to
any health care setting) unless
designated as ‘‘inpatient setting only’’ or
‘‘ambulatory setting only.’’
(1) Inpatient setting only means that
the criterion or capability within the
criterion is only required for
certification of technology designed for
use in an inpatient setting.
(2) Ambulatory setting only means
that the criterion or capability within
the criterion is only required for
certification of technology designed for
use in an ambulatory setting.
§ 170.314
[Amended]
10. In § 170.314:
■ a. In paragraph (a)(3)(i)(A), remove
‘‘§ 170.207(f)’’ and add in its place
‘‘§ 170.207(f)(1)’’;
■ b. In paragraph (a)(3)(i)(B), remove
‘‘§ 170.207(g)’’ and add in its place
‘‘§ 170.207(g)(1)’’;
■ c. In paragraph (a)(8)(iii)(B)(2), remove
‘‘paragraph (b)(1)(iii)’’ and add in its
place ‘‘paragraph (b)(1)(iii)(B) or
(b)(9)(ii)(D)’’;
■ d. In paragraphs (b)(2)(i) introductory
test, (b)(7) introductory text, (b)(8)(iii)
introductory text, (e)(1)(i)(A)(1), and
(e)(2)(iii)(A), remove the term ‘‘Common
MU Data Set’’ and add in its place
‘‘Common Clinical Data Set’’;
■ e. In paragraph (b)(5)(i)(A)(1), remove
‘‘§ 170.205(j)’’ and add in its place
‘‘§ 170.205(j)(1)’’;
■ f. In paragraph (b)(6), remove
‘‘§ 170.205(j)’’ and add in its place
‘‘§ 170.205(j)(1)’’;
■ g. In paragraph (e)(1)(i)(A)
introductory text, remove ‘‘§ 170.204(a)’’
and add in its place ‘‘§ 170.204(a)(1)’’;
■ h. In paragraph (f)(4)(i), remove
‘‘§ 170.205(g)’’ and add in its place
‘‘§ 170.205(g)(1)’’; and
■ i. In paragraph (f)(6)(i), remove
‘‘§ 170.205(i)’’ and add in its place ’’
§ 170.205(i)(1)’’.
■ 11. Add § 170.315 to read as follows:
■
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§ 170.315 2015 Edition health IT
certification criteria.
The Secretary adopts the following
certification criteria for health IT.
Health IT must be able to electronically
perform the following capabilities in
accordance with all applicable
standards and implementation
specifications adopted in this part:
(a) Clinical—(1) Computerized
provider order entry—medications.
Technology must enable a user to
record, change, and access medication
orders.
(2) Computerized provider order
entry—laboratory. (i) Technology must
enable a user to record, change, and
access laboratory orders.
(ii) Technology must be able to
receive and incorporate a new or
updated laboratory order compendium
in accordance with the standard
specified in § 170.205(l)(2) and, at a
minimum, the version of the standard in
§ 170.207(c)(3).
(iii) Ambulatory setting only.
Technology must enable a user to create
laboratory orders for electronic
transmission in accordance with the
standard specified in § 170.205(l)(1)
and, at a minimum, the version of the
standard in § 170.207(c)(3).
(3) Computerized provider order
entry—diagnostic imaging. Technology
must enable a user to record, change,
and access diagnostic imaging orders.
(4) Drug-drug, drug-allergy interaction
checks for CPOE—(i) Interventions.
Before a medication order is completed
and acted upon during computerized
provider order entry (CPOE),
interventions must automatically
indicate to a user drug-drug and drugallergy contraindications based on a
patient’s medication list and medication
allergy list.
(ii) Adjustments. (A) Enable the
severity level of interventions provided
for drug-drug interaction checks to be
adjusted.
(B) Limit the ability to adjust severity
levels to an identified set of users or
available as a system administrative
function.
(iii) Interaction check response
documentation. (A) Technology must be
able to record at least one action taken
and by whom in response to drug-drug
or drug-allergy interaction checks.
(B) Technology must be able to
generate either a human readable
display or human readable report of
actions taken and by whom in response
to drug-drug or drug-allergy interaction
checks.
(5) Demographics. (i) Enable a user to
record, change, and access patient
demographic data including preferred
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language, sex, race, ethnicity, and date
of birth.
(A) Race and ethnicity. (1) Enable
each one of a patient’s races to be
recorded in accordance with, at a
minimum, the standard specified in
§ 170.207(f)(2) and whether a patient
declines to specify race.
(2) Enable each one of a patient’s
ethnicities to be recorded in accordance
with, at a minimum, the standard
specified in § 170.207(f)(2) and whether
a patient declines to specify ethnicity.
(3) Aggregate each one of the patient’s
races and ethnicities recorded in
accordance with paragraphs
(a)(5)(i)(A)(1) and (2) of this section to
the categories in the standard specified
in § 170.207(f)(1).
(B) Enable preferred language to be
recorded in accordance with the
standard specified in § 170.207(g)(2) and
whether a patient declines to specify a
preferred language.
(C) Enable sex to be recorded in
accordance with the standard specified
in § 170.207(n)(1).
(ii) Inpatient setting only. Enable a
user to record, change, and access the
preliminary cause of death and date of
death in the event of mortality.
(6) Vital signs, body mass index, and
growth charts—(i) Vital signs. Enable a
user to record, change, and access, at a
minimum, a patient’s height, weight,
diastolic blood pressure, systolic blood
pressure, heart rate, respiratory rate,
temperature, oxygen saturation in
arterial blood by pulse oximetry, body
mass index [ratio], and mean blood
pressure in accordance with the
following (The patient’s height/length,
weight, diastolic blood pressure,
systolic blood pressure, heart rate,
respiratory rate, temperature, oxygen
saturation in arterial blood by pulse
oximetry, body mass index [ratio], and
mean blood pressure must be recorded
in numerical values only.):
(A) The standard specified in
§ 170.207(k)(1) and with the associated
applicable unit of measure for the vital
sign in the standard specified in
§ 170.207(m)(1);
(B) Metadata. For each vital sign in
paragraph (a)(6)(i) of this section, the
technology must also record the
following:
(1) Date and time of vital sign
measurement or end time of vital sign
measurement;
(2) The measuring- or authoring-type
source of the vital sign measurement;
and
(3) Optional. Date and time of vital
sign measurement or end time of vital
sign measurement in accordance with
the standard in § 170.210(g); and
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(C) Metadata for oxygen saturation in
arterial blood by pulse oximetry. For the
oxygen saturation in arterial blood by
pulse oximetry, the technology must
enable a user to record, change, and
access the patient’s inhaled oxygen
concentration identified, at a minimum,
with the version of the standard adopt
in § 170.207(c)(3) and attributed with
LOINC® code 8478–0.
(ii) Optional—Body mass index
percentile per age and sex. Enable a user
to record, change, and access a patient’s
body mass index [percentile] per age
and sex for patients two to twenty years
of age in accordance with the following
(The patient’s body mass index
[percentile] per age and sex must be
recorded in numerical values only.):
(A) Identified, at a minimum, with the
version of the standard adopt in
§ 170.207(c)(3) and attributed with
LOINC® code 59576–9 and with the
associated applicable unit of measure in
the standard specified in
§ 170.207(m)(1); and
(B) Metadata. The technology must
also record the following:
(1) Date and time of vital sign
measurement or end time of vital sign
measurement;
(2) The measuring- or authoring-type
source of the vital sign measurement;
(3) The patient’s date of birth;
(4) The patient’s sex in accordance
with the standard specified in
§ 170.207(n)(1); and
(5) Optional. Date and time of vital
sign measurement or end time of vital
sign measurement in accordance with
the standard in § 170.210(g).
(iii) Optional—Weight for length per
age and sex. Enable a user to record,
change, and access a patient’s weight for
length per age and sex for patients less
than three years of age in accordance
with the following (The patient’s weight
for length per age and sex must be
recorded in numerical values only.):
(A) Identified, at a minimum, with the
version of the standard adopt in
§ 170.207(c)(3) and attributed with the
LOINC® code and with the associated
applicable unit of measure in the
standard specified in § 170.207(m)(1);
and
(B) Metadata. The technology must
record the following:
(1) Date and time of vital sign
measurement or end time of vital sign
measurement;
(2) The measuring- or authoring-type
source of the vital sign measurement;
(3) The patient’s date of birth;
(4) The patient’s sex in accordance
with the standard specified in
§ 170.207(n)(1); and
(5) Optional. Date and time of vital
sign measurement or end time of vital
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sign measurement in accordance with
the standard in § 170.210(g).
(iv) Optional—Head occipital-frontal
circumference. Enable a user to record,
change, and access a patient’s head
occipital-frontal circumference for
patients less than three years of age in
accordance with the following (The
patient’s head occipital-frontal
circumference must be recorded in
numerical values only.):
(A) Identified, at a minimum, with the
version of the standard adopt in
§ 170.207(c)(3) and attributed with
LOINC® code 8287–5 and with the
associated applicable unit of measure in
the standard specified in
§ 170.207(m)(1); and
(B) Metadata. The technology must
also record the following:
(1) Date and time of vital sign
measurement or end time of vital sign
measurement;
(2) The measuring- or authoring-type
source of the vital sign measurement;
(3) The patient’s date of birth;
(4) The patient’s age in accordance
with the standard specified in
§ 170.207(n)(1); and
(5) Optional. Date and time of vital
sign measurement or end time of vital
sign measurement in accordance with
the standard in § 170.210(g).
(v) Optional—Calculate body mass
index. Automatically calculate and
display body mass index based on a
patient’s height and weight.
(vi) Optional—Plot and display
growth charts. Plot and display, upon
request, growth charts for patients.
(7) Problem list. Enable a user to
record, change, and access a patient’s
active problem list:
(i) Ambulatory setting. Over multiple
encounters in accordance with, at a
minimum, the version of the standard
specified in § 170.207(a)(4); or
(ii) Inpatient setting. For the duration
of an entire hospitalization in
accordance with, at a minimum, the
version of the standard specified in
§ 170.207(a)(4).
(8) Medication list. Enable a user to
record, change, and access a patient’s
active medication list as well as
medication history:
(i) Ambulatory setting. Over multiple
encounters; or
(ii) Inpatient setting. For the duration
of an entire hospitalization.
(9) Medication allergy list. Enable a
user to record, change, and access a
patient’s active medication allergy list
as well as medication allergy history:
(i) Ambulatory setting. Over multiple
encounters; or
(ii) Inpatient setting. For the duration
of an entire hospitalization.
(10) Clinical decision support—(i)
Evidence-based decision support
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interventions. Enable a limited set of
identified users to select (i.e., activate)
one or more electronic clinical decision
support interventions (in addition to
drug-drug and drug-allergy
contraindication checking) based on
each one and at least one combination
of the following data:
(A) Problem list;
(B) Medication list;
(C) Medication allergy list;
(D) At least one demographic
specified in paragraph (a)(5)(i) of this
section;
(E) Laboratory tests; and
(F) Vital signs.
(ii) Linked referential clinical decision
support. (A) Technology must be able to
identify for a user diagnostic and
therapeutic reference information in
accordance with the standard and
implementation specifications at
§ 170.204(b)(3) or (4).
(B) For paragraph (a)(10)(ii)(A) of this
section, technology must be able to
identify for a user diagnostic or
therapeutic reference information based
on each one and at least one
combination of the data referenced in
paragraphs (a)(10)(i)(A), (B), and (D) of
this section.
(iii) Clinical decision support
configuration. (A) Enable interventions
and reference resources specified in
paragraphs (a)(10)(i) and (ii) of this
section to be configured by a limited set
of identified users (e.g., system
administrator) based on a user’s role.
(B) Technology must enable
interventions to be:
(1) Based on the data referenced in
paragraphs (a)(10)(i)(A) through (F) of
this section.
(2) When a patient’s medications,
medication allergies, problems, and
laboratory tests and values/results are
incorporated from a transition of care/
referral summary received and pursuant
to paragraph (b)(2)(iii)(D) of this section.
(3) Ambulatory setting only. When a
patient’s laboratory tests and values/
results are incorporated pursuant to
paragraph (b)(4) of this section.
(iv) CDS intervention interaction.
Interventions provided to a user in
paragraphs (a)(10)(i) through (iii) of this
section must occur when a user is
interacting with technology.
(v) Source attributes. Enable a user to
review the attributes as indicated for all
clinical decision support resources:
(A) For evidence-based decision
support interventions under paragraph
(a)(10)(i) of this section:
(1) Bibliographic citation of the
intervention (clinical research/
guideline);
(2) Developer of the intervention
(translation from clinical research/
guideline);
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(3) Funding source of the intervention
development technical implementation;
and
(4) Release and, if applicable, revision
date(s) of the intervention or reference
source.
(B) For linked referential clinical
decision support in paragraph (a)(10)(ii)
of this section and drug-drug, drugallergy interaction checks in paragraph
(a)(4) of this section, the developer of
the intervention, and where clinically
indicated, the bibliographic citation of
the intervention (clinical research/
guideline).
(vi) Intervention response
documentation. (A) Technology must be
able to record at least one action taken
and by whom in response to clinical
decision support interventions.
(B) Technology must be able to
generate either a human readable
display or human readable report of
actions taken and by whom in response
to clinical decision support
interventions.
(11) Drug-formulary and preferred
drug list checks. Technology must either
meet paragraph (a)(11)(i) or (ii) of this
section.
(i) Drug formulary checks. (A)
Automatically check whether a drug
formulary exists for a given patient and
medication.
(B) Indicate for a user the last update
of the drug formulary; and
(C) Receive and incorporate a
formulary and benefit file in accordance
with the standard specified in
§ 170.205(n)(1).
(ii) Preferred drug list checks. (A)
Automatically check whether a
preferred drug list exists for a given
patient and medication.
(B) Indicate for a user the last update
of the preferred drug list.
(12) Smoking status. Enable a user to
record, change, and access the smoking
status of a patient in accordance with,
at a minimum, the version of the
standard specified in § 170.207(a)(4).
(13) Image results. Indicate to a user
the availability of a patient’s images and
narrative interpretations (relating to the
radiographic or other diagnostic test(s))
and enable electronic access to such
images and narrative interpretations.
(14) Family health history. Enable a
user to record, change, and access a
patient’s family health history in
accordance with the familial concepts or
expressions included in, at a minimum,
the version of the standard in
§ 170.207(a)(4).
(15) Family health history—pedigree.
Technology must be able to create and
incorporate a patient’s family health
history in accordance with the standard
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and implementation specification
specified in § 170.205(m)(1).
(16) Patient list creation. Enable a
user to dynamically select, sort, access,
and create patient lists by: date and
time; and based on each one and at least
one combination of the following data:
(i) Problems;
(ii) Medications;
(iii) Medication allergies;
(iv) At least one demographic
specified in paragraph (a)(5)(i) of this
section;
(v) Laboratory tests and values/
results; and
(vi) Ambulatory setting only. Patient
communication preferences.
(17) Patient-specific education
resources. Technology must be able to:
(i) Identify patient-specific education
resources based on data included in the
patient’s problem list and medication
list in accordance with the standard
(and implementation specifications)
specified in § 170.204(b)(3) or (4); and
(ii) Request that patient-specific
education resources be identified in
accordance with the standard in
§ 170.207(g)(2).
(18) Electronic medication
administration record. (i) In
combination with an assistive
technology that provides automated
information on the ‘‘rights’’ specified in
paragraphs (a)(18)(i)(A) through (E) of
this section, enable a user to verify the
following before administering
medication(s):
(A) Right patient. The patient to
whom the medication is to be
administered matches the medication to
be administered.
(B) Right medication. The medication
to be administered matches the
medication ordered for the patient.
(C) Right dose. The dose of the
medication to be administered matches
the dose of the medication ordered for
the patient.
(D) Right route. The route of
medication delivery matches the route
specified in the medication order.
(E) Right time. The time that the
medication was ordered to be
administered compared to the current
time.
(ii) Right documentation. Record the
time and date in accordance with the
standard specified in § 170.210(g), and
user identification when a medication is
administered.
(19) Patient health information
capture. Technology must be able to
enable a user to:
(i) Identify, record, and access patient
health information documents;
(ii) Reference and link to patient
health information documents; and
(iii) Record and access information
directly shared by a patient.
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(20) Implantable device list. (i) Enable
a user to record, change, and access, a
list of Unique Device Identifiers
associated with a patient’s Implantable
Device(s).
(ii) Parse the following data elements
from a Unique Device Identifier:
(A) Device Identifier;
(B) Batch/lot number;
(C) Expiration date;
(D) Production date; and
(E) Serial number.
(iii) Retrieve the ‘‘Device Description’’
attribute associated with a Unique
Device Identifier in the Global Unique
Device Identification Database.
(iv) For each Unique Device Identifier
in a patient’s list of implantable devices,
enable a user to access the following:
(A) The parsed data elements
specified under paragraph (a)(20)(ii) of
this section that are associated with the
UDI; and
(B) The retrieved data element
specified under paragraph (a)(20)(iii) of
this section.
(21) Social, psychological, and
behavioral data. Enable a user to record,
change, and access, at a minimum, one
of the following patient social,
psychological, and behavioral data.
(i) Sexual orientation. Enable sexual
orientation to be recorded in accordance
with the standard specified in
§ 170.207(o)(1) and whether a patient
declines to specify sexual orientation.
(ii) Gender identity. Enable gender
identity to be recorded in accordance
with the standard specified in
§ 170.207(o)(2) and whether a patient
declines to specify gender identity.
(iii) Financial resource strain. Enable
financial resource strain to be recorded
in accordance with the standard
specified in § 170.207(o)(3) and whether
a patient declines to specify financial
resource strain.
(iv) Education. Enable education to be
recorded in accordance with the
standard specified in § 170.207(o)(4)
and whether a patient declines to
specify education.
(v) Stress. Enable stress to be recorded
in accordance with the standard
specified in § 170.207(o)(5) and whether
a patient declines to specify stress.
(vi) Depression. Enable depression to
be recorded in accordance with the
standard specified in § 170.207(o)(6)
and whether a patient declines to
specify stress.
(vii) Physical activity. Enable physical
activity to be recorded in accordance
with the standard specified in
§ 170.207(o)(7) and whether a patient
declines to specify physical activity.
(viii) Alcohol use. Enable alcohol use
to be recorded in accordance with the
standard specified in § 170.207(o)(8)
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and whether a patient declines to
specify alcohol use.
(ix) Social connection and isolation.
Enable social connection and isolation
to be recorded in accordance the
standard specified in § 170.207(o)(9)
and whether a patient declines to
specify social connection and isolation.
(x) Exposure to violence (intimate
partner violence). Enable exposure to
violence (intimate partner violence) to
be recorded in accordance with the
standard specified in § 170.207(o)(10)
and whether a patient declines to
specify exposure to violence (intimate
partner violence).
(22) Decision support—knowledge
artifact. Enable a user to send and
receive clinical decision support
knowledge artifacts in accordance with
the standard specified in
§ 170.204(d)(1).
(23) Decision support—service. Enable
a user to send and receive electronic
clinical guidance in accordance with the
standard specified in § 170.204(e)(1).
(b) Care coordination—(1) Transitions
of care—(i) Send and receive via edge
protocol. Technology must be able to:
(A) Send transitions of care/referral
summaries through a method that
conforms to the standard specified in
§ 170.202(d); and
(B) Receive transitions of care/referral
summaries through a method that
conforms to the standard specified in
§ 170.202(d) from a service that has
implemented the standard specified in
§ 170.202(a).
(C) XDM processing. Receive and
make available the contents of a XDM
package formatted in accordance with
the standard adopted in § 170.205(p)(1)
if the technology is also being certified
using an SMTP-based edge protocol.
(ii) Validate and display—(A)
Validate C–CDA conformance—system
performance. Technology must
demonstrate its ability to detect valid
and invalid transition of care/referral
summaries received and formatted in
accordance with both of the standards
specified in § 170.205(a)(3) and
(4). This includes the ability to:
(1) Parse each of the document types
formatted according to the following
document templates: CCD; Consultation
Note; History and Physical; Progress
Note; Care Plan; Transfer Summary;
Referral Note, and Discharge Summary.
(2) Detect errors in corresponding
‘‘document-templates,’’ ‘‘sectiontemplates,’’ and ‘‘entry-templates,’’
including invalid vocabulary standards
and codes not specified in either of the
standards adopted in § 170.205(a)(3) and
(4);
(3) Identify valid document-templates
and process the data elements required
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in the corresponding section-templates
and entry-templates from either of the
standards adopted in § 170.205(a)(3) and
(4);
(4) Correctly interpret empty sections
and null combinations; and
(5) Record errors encountered and
allow for a user to be notified of or
review the errors produced.
(B) Technology must be able to
display in human readable format the
data included in transition of care/
referral summaries received and
formatted according to the standards
specified in § 170.205(a)(3) and (4).
(C) Section views. Allow for
individual display each additional
section or sections (and the
accompanying document header
information) that were included in a
transition of care/referral summary
received and formatted in accordance
with either of the standards adopted in
§ 170.205(a)(3) and (4).
(iii) Create. (A) Enable a user to create
a transition of care/referral summary:
(1) Formatted according to the
standards adopted in § 170.205(a)(3);
(2) Formatted according to the
standards adopted in § 170.205(a)(4);
and
(3) Includes, at a minimum, the
Common Clinical Data Set and the
following data expressed, where
applicable, according to the specified
standard(s):
(i) Encounter diagnoses. The standard
specified in § 170.207(i) or, at a
minimum, the version of the standard
specified in § 170.207(a)(4);
(ii) Cognitive status;
(iii) Functional status;
(iv) Ambulatory setting only. The
reason for referral; and referring or
transitioning provider’s name and office
contact information; and
(v) Inpatient setting only. Discharge
instructions.
(B) Patient matching data quality.
Technology must be capable of creating
a transition of care/referral summary
that includes the following data and,
where applicable, represent such data
according to the additional constraints
specified below:
(1) Data. first name, last name,
maiden name, middle name (including
middle initial), suffix, date of birth,
place of birth, current address, historical
address, phone number, and sex.
(2) Constraint. Represent last/family
name according to the CAQH Phase II
Core 258: Eligibility and Benefits 270/
271 Normalizing Patient Last Name Rule
version 2.1.0.
(3) Constraint. Represent suffix
according to the CAQH Phase II Core
258: Eligibility and Benefits 270/271
Normalizing Patient Last Name Rule
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version 2.1.0 (JR, SR, I, II, III, IV, V, RN,
MD, Ph.D., ESQ). If no suffix exists, the
field should be entered as null.
(4) Constraint. Represent the year,
month and date of birth are required
fields while hour, minute and second
should be optional fields. If hour,
minute and second are provided then
either time zone offset should be
included unless place of birth (city,
region, country) is provided; in latter
local time is assumed. If date of birth is
unknown, the field should be marked as
null.
(5) Constraint. Represent phone
number (home, business, cell) in the
ITU format specified in ITU–T E.123
and ITU–T E.164. If multiple phone
numbers are present, all should be
included.
(6) Constraint. Represent sex in
accordance with the standard adopted at
§ 170.207(n)(1).
(2) Clinical information reconciliation
and incorporation—(i) General
requirements. Paragraphs (b)(2)(ii) and
(iii) of this section must be completed
based on the receipt of a transition of
care/referral summary formatted in
accordance with the standard adopted
in § 170.205(a)(3) as well as separately
to the standard adopted in
§ 170.205(a)(4) using the Continuity of
Care Document, Discharge Summary
Document and Referral Summary
document templates.
(ii) Correct patient. Upon receipt of a
transition of care/referral summary
formatted according to either of the
standards adopted at § 170.205(a)(3) or
(4), technology must be able to
demonstrate that the transition of care/
referral summary received is or can be
properly matched to the correct patient.
(iii) Reconciliation. Enable a user to
reconcile the data that represent a
patient’s active medication list,
medication allergy list, and problem list
as follows. For each list type:
(A) Simultaneously display (i.e., in a
single view) the data from at least two
sources in a manner that allows a user
to view the data and their attributes,
which must include, at a minimum, the
source and last modification date;
(B) Enable a user to create a single
reconciled list of medications,
medication allergies, or problems;
(C) Enable a user to review and
validate the accuracy of a final set of
data; and
(D) Upon a user’s confirmation,
automatically update the list, and
incorporate the following data
expressed according to the specified
standard(s):
(1) Medications. At a minimum, the
version of the standard specified in
§ 170.207(d)(3);
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(2) Medication allergies. At a
minimum, the version of the standard
specified in § 170.207(d)(3); and
(3) Problems. At a minimum, the
version of the standard specified in
§ 170.207(a)(4).
(iv) System verification. Based on the
data reconciled and incorporated, the
technology must be able to create a file
formatted according to the standard
adopted at § 170.205(a)(4) using the
Continuity of Care Document document
template.
(3) Electronic prescribing. (i) Enable a
user to prescribe, send, and respond to
prescription-related transactions for
electronic transmission in accordance
with the standard specified at
§ 170.205(b)(2), and, at a minimum, the
version of the standard specified in
§ 170.207(d)(3), as follows:
(A) Create new prescriptions
(NEWRX);
(B) Change prescriptions (RXCHG,
CHGRES);
(C) Cancel prescriptions (CANRX,
CANRES);
(D) Refill prescriptions (REFREQ,
REFRES);
(E) Receive fill status notifications
(RXFILL); and
(F) Request and receive medication
history information (RXHREQ,
RXHRES).
(ii) Enable a user to enter, receive, and
transmit structured and codified
prescribing instructions for the
transactions listed in paragraph (b)(3)(i)
of this section for electronic
transmission in accordance with the
standard specified at § 170.205(b)(2)
and, at a minimum, for at least the
following component composites:
(A) Repeating Sig;
(B) Code System;
(C) Sig Free Text String;
(D) Dose;
(E) Dose Calculation;
(F) Vehicle;
(G) Route of Administration;
(H) Site of Administration;
(I) Sig Timing;
(J) Duration;
(K) Maximum Dose Restriction;
(L) Indication; and
(M) Stop.
(iii) Technology must limit a user’s
ability to prescribe all medications in
only the metric standard.
(iv) Technology must always insert
leading zeroes before the decimal point
for amounts less than one and must not
allow trailing zeroes after a decimal
point when a user prescribes
medications.
(4) Incorporate laboratory tests and
values/results—(i) Receive results—(A)
Ambulatory setting only. (1) Receive and
incorporate clinical laboratory tests and
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values/results in accordance with the
standard specified in § 170.205(j)(2);
and, at a minimum, the version of the
standard specified in § 170.207(c)(3).
(2) Display the tests and values/
results received in human readable
format.
(B) Inpatient setting only. Receive
clinical laboratory tests and values/
results in a structured format and
display such tests and values/results in
human readable format.
(ii) Display the test report
information:
(A) Specified in 42 CFR
493.1291(a)(1) through (3) and (c)(1)
through (7);
(B) Related to reference intervals or
normal values as specified in 42 CFR
493.1291(d);
(C) For alerts and delays as specified
in 42 CFR 493.1291(g) and (h); and
(D) For corrected reports as specified
in 42 CFR 493.1291(k)(2).
(iii) Attribute, associate, or link a
laboratory test and value/result with a
laboratory order or patient record.
(5) Transmission of laboratory test
reports. Technology must be able to
electronically create laboratory test
reports for electronic transmission in
accordance with the standard specified
in § 170.205(j)(2) and, at a minimum,
the version of the standard specified in
§ 170.207(c)(3).
(6) Data portability—(i) General
requirements for export summary
configuration. A user must be able to set
the following configuration options
when using technology to create an
export summary or set of export
summaries for patients whose
information is stored in the technology.
A user must be able to execute these
capabilities at any time the user chooses
and without subsequent developer
assistance to operate.
(ii) Document creation
configuration—(A) Document-template
types. A user must be able to configure
the technology to create an export
summary or export summaries
formatted according to the standard
adopted at § 170.205(a)(4) for any of the
following document-template types.
(1) Generally applicable. CCD;
Consultation Note; History and
Physical; Progress Note; Care Plan;
Transfer Summary; and Referral Note.
(2) Inpatient setting only. Discharge
Summary.
(B) For any document-template
selected the technology must be able to
include, at a minimum, the Common
Clinical Data Set and the following data
expressed, where applicable, according
to the specified standard(s):
(1) Encounter diagnoses. The standard
specified in § 170.207(i) or, at a
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minimum, the version of the standard at
§ 170.207(a)(4);
(2) Cognitive status;
(3) Functional status;
(4) Ambulatory setting only. The
reason for referral; and referring or
transitioning provider’s name and office
contact information; and
(5) Inpatient setting only. Discharge
instructions.
(C) Use of the ‘‘unstructured
document’’ document-level template is
prohibited for compliance with the
standard adopted at § 170.205(a)(4)).
(iii) Timeframe configuration. A user
must be able to configure the technology
to set the time period within which data
would be used to create the export
summary or summaries. This must
include the ability to enter in a start and
end date range as well as the ability to
set a date at least three years into the
past from the current date.
(iv) Event configuration. A user must
be able to configure the technology to
create an export summary or summaries
based on the following user selected
events:
(A) A relative date or time (e.g., the
first of every month);
(B) A specific date or time (e.g., on 10/
24/2015); and
(C) When a user signs a note or an
order.
(v) Location configuration. A user
must be able to configure and set the
storage location to which the export
summary or export summaries are
intended to be saved.
(7) Data segmentation for privacy—
send. Technology must enable a user to
create a summary record formatted in
accordance with each of the standards
adopted in § 170.205(a)(3) and (4) that is
tagged as restricted and subject to
restrictions on re-disclosure according
to the standard adopted in
§ 170.205(o)(1).
(8) Data segmentation for privacy—
receive. Technology must enable a user
to:
(i) Receive a summary record that is
tagged as restricted and subject to
restrictions on re-disclosure according
to the standard adopted in
§ 170.205(o)(1);
(ii) Apply document-level tagging and
sequester the document from other
documents received; and
(iii) View the restricted document (or
data), without incorporating the
document (or data).
(9) Care plan. Technology must
enable a user to record, change, access,
create, and receive care plan
information in accordance with the Care
Plan document template in the standard
adopted in § 170.205(a)(4).
(c) Clinical quality measures—(1)
Clinical quality measures—record and
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export—(i) Record. For each and every
CQM for which the technology is
presented for certification, the
technology must be able to record all of
the data that would be necessary to
calculate each CQM. Data required for
CQM exclusions or exceptions must be
codified entries, which may include
specific terms as defined by each CQM,
or may include codified expressions of
‘‘patient reason,’’ ‘‘system reason,’’ or
‘‘medical reason.’’
(ii) Export. A user must be able to
export a data file formatted in
accordance with the standard specified
at § 170.205(h) for one or multiple
patients that includes all of the data
captured for each and every CQM to
which technology was certified under
paragraph (c)(1)(i) of this section. A user
must be able to execute this capability
at any time the user chooses and
without subsequent developer
assistance to operate.
(2) Clinical quality measures—import
and calculate—(i) Import. Enable a user
to import a data file in accordance with
the standard specified at § 170.205(h)
for one or multiple patients and use
such data to perform the capability
specified in paragraph (c)(2)(ii) of this
section. A user must be able to execute
this capability at any time the user
chooses and without subsequent
developer assistance to operate.
(ii) Technology must be able to
calculate each and every clinical quality
measure for which it is presented for
certification.
(3) [Reserved]
(4) Clinical quality measures—filter.
(i) Technology must be able to record
the data listed in paragraph (c)(4)(iii) of
this section in accordance with the
identified standards, where specified.
(ii) Technology must be able to filter
CQM results at the patient and aggregate
levels by each one and any combination
of the data listed in paragraph (c)(4)(iii)
of this section.
(iii) Data. (A) TIN;
(B) NPI;
(C) Provider type;
(D) Patient insurance;
(E) Patient age;
(F) Patient sex in accordance with, at
a minimum, the version of the standard
specified in § 170.207(n)(1);
(G) Patient race and ethnicity in
accordance with, at a minimum, the
version of the standard specified in
§ 170.207(f)(2);
(H) Patient problem list data in
accordance with, at a minimum, the
version of the standard specified in
§ 170.207(a)(4); and
(I) Practice site address.
(d) Privacy and security—(1)
Authentication, access control, and
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authorization. (i) Verify against a unique
identifier(s) (e.g., username or number)
that a person seeking access to
electronic health information is the one
claimed; and
(ii) Establish the type of access to
electronic health information a user is
permitted based on the unique
identifier(s) provided in paragraph
(d)(1)(i) of this section, and the actions
the user is permitted to perform with
the technology.
(2) Auditable events and tamperresistance—(i) Record actions.
Technology must be able to:
(A) Record actions related to
electronic health information in
accordance with the standard specified
in § 170.210(e)(1);
(B) Record the audit log status
(enabled or disabled) in accordance
with the standard specified in
§ 170.210(e)(2) unless it cannot be
disabled by any user; and
(C) Record the encryption status
(enabled or disabled) of electronic
health information locally stored on
end-user devices by technology in
accordance with the standard specified
in § 170.210(e)(3) unless the technology
prevents electronic health information
from being locally stored on end-user
devices (see paragraph (d)(7) of this
section).
(ii) Default setting. Technology must
be set by default to perform the
capabilities specified in paragraph
(d)(2)(i)(A) of this section and, where
applicable, paragraph (d)(2)(i)(B) or (C)
of this section, or both paragraphs
(d)(2)(i)(B) and (C).
(iii) When disabling the audit log is
permitted. For each capability specified
in paragraphs (d)(2)(i)(A) through (C) of
this section that technology permits to
be disabled, the ability to do so must be
restricted to a limited set of users.
(iv) Audit log protection. Actions and
statuses recorded in accordance with
paragraph (d)(2)(i) of this section must
not be capable of being changed,
overwritten, or deleted by the
technology.
(v) Detection. Technology must be
able to detect whether the audit log has
been altered.
(3) Audit report(s). Enable a user to
create an audit report for a specific time
period and to sort entries in the audit
log according to each of the data
specified in the standards in
§ 170.210(e).
(4) Amendments. Enable a user to
select the record affected by a patient’s
request for amendment and perform the
capabilities specified in paragraph
(d)(4)(i) or (ii) of this section.
(i) Accepted amendment. For an
accepted amendment, append the
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amendment to the affected record or
include a link that indicates the
amendment’s location.
(ii) Denied amendment. For a denied
amendment, at a minimum, append the
request and denial of the request to the
affected record or include a link that
indicates this information’s location.
(5) Automatic access time-out. (i)
Automatically stop user access to health
information after a predetermined
period of inactivity.
(ii) Require user authentication in
order to resume or regain the access that
was stopped.
(6) Emergency access. Permit an
identified set of users to access
electronic health information during an
emergency.
(7) End-user device encryption.
Paragraph (d)(7)(i) or (ii) of this section
must be met to satisfy this certification
criterion.
(i) Technology that is designed to
locally store electronic health
information on end-user devices must
encrypt the electronic health
information stored on such devices after
use of the technology on those devices
stops.
(A) Electronic health information that
is stored must be encrypted in
accordance with the standard specified
in § 170.210(a)(3).
(B) Default setting. Technology must
be set by default to perform this
capability and, unless this configuration
cannot be disabled by any user, the
ability to change the configuration must
be restricted to a limited set of
identified users.
(ii) Technology is designed to prevent
electronic health information from being
locally stored on end-user devices after
use of the technology on those devices
stops.
(8) Integrity. (i) Create a message
digest in accordance with the standard
specified in § 170.210(c).
(ii) Verify in accordance with the
standard specified in § 170.210(c) upon
receipt of electronically exchanged
health information that such
information has not been altered.
(9) Accounting of disclosures. Record
disclosures made for treatment,
payment, and health care operations in
accordance with the standard specified
in § 170.210(d).
(e) Patient engagement—(1) View,
download, and transmit to 3rd party. (i)
Patients (and their authorized
representatives) must be able to use
technology to view, download, and
transmit their health information to a
3rd party in the manner specified
below. Access to these capabilities must
be online and through a secure channel
that ensures all content is encrypted and
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integrity-protected in accordance with
the standard for encryption and hashing
algorithms specified at § 170.210(f).
(A) View. Patients (and their
authorized representatives) must be able
to use health IT to view in accordance
with the standard adopted at
§ 170.204(a)(1), at a minimum, the
following data:
(1) The Common Clinical Data Set
(which should be in their English (i.e.,
non-coded) representation if they
associate with a vocabulary/code set).
(2) Ambulatory setting only.
Provider’s name and office contact
information.
(3) Inpatient setting only. Admission
and discharge dates and locations;
discharge instructions; and reason(s) for
hospitalization.
(4) Laboratory test report(s).
Laboratory test report(s), including:
(i) The information for a test report as
specified all the data specified in 42
CFR 493.1291(c)(1) through (7);
(ii) The information related to
reference intervals or normal values as
specified in 42 CFR 493.1291(d); and
(iii) The information for corrected
reports as specified in 42 CFR
493.1291(k)(2).
(5) Diagnostic image report(s).
(B) Download. (1) Patients (and their
authorized representatives) must be able
to use technology to download an
ambulatory summary or inpatient
summary (as applicable to the health IT
setting for which certification is
requested) in only human readable
format, in only the format specified in
accordance to the standard adopted at
§ 170.205(a)(4), or in both formats. The
use of the ‘‘unstructured document’’
document-level template is prohibited
for compliance with the standard
adopted at § 170.205(a)(4).
(2) When downloaded according to
the standard adopted at § 170.205(a)(4),
the ambulatory summary or inpatient
summary must include, at a minimum,
the following data (which, for the
human readable version, should be in
their English representation if they
associate with a vocabulary/code set):
(i) Ambulatory setting only. All of the
data specified in paragraph
(e)(1)(i)(A)(1), (2), (4), and (5) of this
section.
(ii) Inpatient setting only. All of the
data specified in paragraphs
(e)(1)(i)(A)(1), and (3) through (5) of this
section.
(3) Inpatient setting only. Patients
(and their authorized representatives)
must be able to download transition of
care/referral summaries that were
created as a result of a transition of care
(pursuant to the capability expressed in
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the certification criterion adopted at
paragraph (b)(1) of this section).
(C) Transmit to third party. Patients
(and their authorized representatives)
must be able to:
(1) Transmit the ambulatory summary
or inpatient summary (as applicable to
the health IT setting for which
certification is requested) created in
paragraph (e)(1)(i)(B)(2) of this section
in accordance with at least one of the
following:
(i) The standard specified in
§ 170.202(a).
(ii) Through a method that conforms
to the standard specified at § 170.202(d)
and leads to such summary being
processed by a service that has
implemented the standard specified in
§ 170.202(a).
(2) Inpatient setting only. Transmit
transition of care/referral summaries (as
a result of a transition of care/referral)
selected by the patient (or their
authorized representative) in
accordance with at least one of the
following:
(i) The standard specified in
§ 170.202(a).
(ii) Through a method that conforms
to the standard specified at § 170.202(d)
and leads to such summary being
processed by a service that has
implemented the standard specified in
§ 170.202(a).
(ii) Activity history log. (A) When
electronic health information is viewed,
downloaded, or transmitted to a thirdparty using the capabilities included in
paragraphs (e)(1)(i)(A) through (C) of
this section or when an application
requests electronic health information
using the capability specified at
paragraph (e)(1)(iii) of this section, the
following information must be recorded
and made accessible to the patient:
(1) The action(s) (i.e., view,
download, transmission, API response)
that occurred;
(2) The date and time each action
occurred in accordance with the
standard specified at § 170.210(g);
(3) The user who took the action; and
(4) Where applicable, the addressee to
whom an ambulatory summary or
inpatient summary was transmitted.
(B) Technology presented for
certification may demonstrate
compliance with paragraph (e)(1)(ii)(A)
of this section if it is also certified to the
certification criterion adopted at
§ 170.315(d)(2) and the information
required to be recorded in paragraph
(e)(1)(ii)(A) is accessible by the patient.
(iii) Application access. Patients (and
their authorized representatives) must
be able to use an application that can
interact with the following capabilities.
Additionally, the following technical
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outcomes and conditions must be met
through the demonstration of an
application programming interface (API)
that can respond to requests from other
applications for data specified within
the Common Clinical Data Set.
(A) Security. The API must include a
means to establish a trusted connection
with the application requesting patient
data, including a means for the
requesting application to register with
the data source, be authorized to request
data, and log all interactions between
the application and the data source.
(B) Patient selection. The API must
include a means for the application to
query for an ID or other token of a
patient’s record in order to subsequently
execute data requests for that record in
accordance with (e)(1)(iii)(C) of this
section.
(C) Data requests, response scope, and
return format. The API must enable and
support both of the following data
request interactions:
(1) Data-category request. The API
must support syntax that allows it to
respond to requests for each of the
individual data categories specified in
the Common Clinical Data Set and
return the full set of data for that data
category (according to the specified
standards, where applicable) in either
XML or JSON.
(2) All-request. The API must support
syntax that allows it to respond to a
request for all of the data categories
specified in the Common Clinical Data
Set at one time and return such data
(according to the specified standards,
where applicable) in a summary record
formatted according to the standard
adopted at § 170.205(a)(4).
(D) Documentation. The API must
include accompanying documentation
that contains, at a minimum:
(1) API syntax, function names,
required and optional parameters and
their data types, return variables and
their types/structures, exceptions and
exception handling methods and their
returns.
(2) The software components and
configurations that would be necessary
for an application to implement in order
to be able to successfully interact with
the API and process its response(s).
(E) Terms of use. The terms of use for
the API must be provided, including, at
a minimum, any associated developer
policies and required developer
agreements.
(2) Secure messaging. Enable a user to
send messages to, and receive messages
from, a patient in a manner that ensures:
(i) Both the patient (or authorized
representative) and technology user are
authenticated; and
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(ii) The message content is encrypted
and integrity-protected in accordance
with the standard for encryption and
hashing algorithms specified at
§ 170.210(f).
(f) Public health—(1) Transmission to
immunization registries. (i) Technology
must be able to create immunization
information for electronic transmission
in accordance with:
(A) The standard and applicable
implementation specifications specified
in § 170.205(e)(4);
(B) At a minimum, the version of the
standard specified in § 170.207(e)(3) for
historical vaccines; and
(C) At a minimum, the version of the
standard specified in § 170.207(e)(4) for
administered vaccines.
(ii) Technology must enable a user to
request, access, and display a patient’s
evaluated immunization history and the
immunization forecast from an
immunization registry in accordance
with the standard at § 170.205(e)(4).
(2) Transmission to public health
agencies—syndromic surveillance—(i)
Ambulatory setting only. (A)
Technology must be able to create
syndrome-based public health
surveillance information for electronic
transmission.
(B) Optional. Technology must be able
to create syndrome-based public health
surveillance information for electronic
transmission that contains the following
data:
(1) Patient demographics;
(2) Provider specialty;
(3) Provider address;
(4) Problem list;
(5) Vital signs;
(6) Laboratory test values/results;
(7) Procedures;
(8) Medication list; and
(9) Insurance.
(ii) Inpatient setting only. Technology
must be able to create syndrome-based
public health surveillance information
for electronic transmission in
accordance with the standard (and
applicable implementation
specifications) specified in
§ 170.205(d)(4).
(3) Transmission to public health
agencies—reportable laboratory tests
and values/results. Technology must be
able to create reportable laboratory tests
and values/results for electronic
transmission in accordance with:
(i) The standard (and applicable
implementation specifications)
specified in § 170.205(g)(2); and
(ii) At a minimum, the versions of the
standards specified in § 170.207(a)(4)
and (c)(3).
(4) Transmission to cancer registries.
Technology must be able to create
cancer case information for electronic
transmission in accordance with:
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(i) The standard (and applicable
implementation specifications)
specified in § 170.205(i)(2); and
(ii) At a minimum, the versions of the
standards specified in § 170.207(a)(4)
and (c)(3).
(5) Transmission to public health
agencies—case reporting. Technology
must be able to create case reporting
information for electronic transmission
in accordance with the standard
specified in § 170.205(q)(1).
(6) Transmission to public health
agencies—antimicrobial use and
resistance reporting. Technology must
be able to create antimicrobial use and
resistance reporting information for
electronic transmission in accordance
with the standard specified in
§ 170.205(r)(1).
(7) Transmission to public health
agencies—health care surveys.
Technology must be able to create
health care survey information for
electronic transmission in accordance
with the standard specified in
§ 170.205(s)(1).
(g) Design and performance—(1)
Automated numerator recording. For
each meaningful use objective with a
percentage-based measure, technology
must be able to create a report or file
that enables a user to review the
patients or actions that would make the
patient or action eligible to be included
in the measure’s numerator. The
information in the report or file created
must be of sufficient detail such that it
enables a user to match those patients
or actions to meet the measure’s
denominator limitations when
necessary to generate an accurate
percentage.
(2) Automated measure calculation.
For each meaningful use objective with
a percentage-based measure that is
supported by a capability included in a
technology, record the numerator and
denominator and create a report
including the numerator, denominator,
and resulting percentage associated with
each applicable meaningful use
measure.
(3) Safety-enhanced design. (i) Usercentered design processes must be
applied to each capability technology
includes that is specified in the
following certification criteria:
paragraphs (a)(1) through (10) and (18),
(20), (22), (23), and (b)(2) through (4) of
this section.
(ii) The following information must be
submitted on the user-centered design
processed used:
(A) Name, description and citation
(ULR and/or publication citation) for an
industry or federal government
standard; or
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(B) Name the process(es), provide an
outline of the process(es), a short
description of the process(es), and an
explanation of the reason(s) why use of
any of the existing user-centered design
standards was impractical.
(iii) The following information/
sections from NISTIR 7742 must be
submitted for each capability to which
user-centered design processes were
applied:
(A) Name and version of the product;
date and location of the test; test
environment; description of the
intended users; and total number of
participants;
(B) Description of participants,
including: sex; age; education;
occupation/role; professional
experience; computer experience; and
product experience;
(C) Description of the user tasks that
were tested and association of each task
to corresponding certification criteria;
(D) List of the specific metrics
captured during the testing, including;
task success (%); task failures (%); task
standard deviations (%); task
performance time; and user satisfaction
rating (based on a scale with 1 as very
difficult and 5 as very easy);
(E) Test results for each task using
metrics listed above in paragraphs
(g)(3)(ii)(A) through (D) of this section;
(F) Results and data analysis
narrative, including: major test finding;
effectiveness; efficiency; satisfaction;
and areas for improvement.
(iv) Submit test scenarios used in
summative usability testing.
(4) Quality management system. (i)
For each capability that a technology
includes and for which that capability’s
certification is sought, the use of a
Quality Management System (QMS) in
the development, testing,
implementation, and maintenance of
that capability must be identified that is:
(A) Compliant with a QMS
established by the Federal government
or a standards developing organization;
or
(B) Mapped to one or more QMS
established by the Federal government
or standards developing organization(s).
(ii) If a single QMS was used for
applicable capabilities, it would only
need to be identified once.
(iii) If different QMS were applied to
specific capabilities, each QMS applied
would need to be identified.
(5) Accessibility technology
compatibility. For each capability
technology includes that is specified in
the certification criteria at paragraphs
(a), (b), and (e) of this section, the
capability must be compatible with at
least one accessibility technology that
includes text-to-speech functionality.
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(6) Consolidated CDA creation
performance. The following technical
and performance outcomes must be
demonstrated related to Consolidated
CDA creation. The capabilities required
under paragraphs (g)(6)(i) through (iii)
of this section can be demonstrated in
tandem and do not need to be
individually addressed in isolation or
sequentially.
(i) Reference C–CDA match. Upon the
entry of clinical data consistent with the
Common Clinical Data Set, the
technology must be able to create a data
file formatted in accordance with each
of the standards adopted in
§ 170.205(a)(3) and (4) that matches a
gold-standard, reference data file.
(ii) Document-template conformance.
Upon the entry of clinical data
consistent with the Common Clinical
Data Set, the technology must be able to
create a data file formatted in
accordance with each of the standards
adopted in § 170.205(a)(3) and (4) that
demonstrates a valid implementation of
each of the following document
templates (as applicable to the adopted
standard):
(A) Generally applicable. CCD;
Consultation Note; History and
Physical; Progress Note; Care Plan;
Transfer Summary; and Referral Note.
(B) Inpatient setting only. Discharge
Summary.
(iii) Vocabulary conformance. Upon
the entry of clinical data consistent with
the Common Clinical Data Set, the
technology must be able to create a data
file formatted in accordance with each
of the standards adopted in
§ 170.205(a)(3) and (4) that demonstrates
the required vocabulary standards (and
value sets) are properly implemented.
(7) Application access to Common
Clinical Data Set. The following
technical outcomes and conditions must
be met through the demonstration of an
application programming interface (API)
that can respond to requests from other
applications for data specified within
the Common Clinical Data Set.
(i) Security. The API must include a
means to establish a trusted connection
with the application requesting patient
data, including a means for the
requesting application to register with
the data source, be authorized to request
data, and log all interactions between
the application and the data source.
(ii) Patient selection. The API must
include a means for the application to
query for an ID or other token of a
patient’s record in order to subsequently
execute data requests for that record in
accordance with paragraph (g)(7)(iii) of
this section.
(iii) Data requests, response scope,
and return format. The API must enable
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and support both of the following data
request interactions:
(A) Data-category request. The API
must support syntax that allows it to
respond to requests for each of the
individual data categories specified in
the Common Clinical Data Set and
return the full set of data for that data
category (according to the specified
standards, where applicable) in either
XML or JSON.
(B) All-request. The API must support
syntax that allows it to respond to a
request for all of the data categories
specified in the Common Clinical Data
Set at one time and return such data
(according to the specified standards,
where applicable) in a summary record
formatted according to the standard
adopted at § 170.205(a)(4).
(iv) Documentation. The API must
include accompanying documentation
that contains, at a minimum:
(A) API syntax, function names,
required and optional parameters and
their data types, return variables and
their types/structures, exceptions and
exception handling methods and their
returns.
(B) The software components and
configurations that would be necessary
for an application to implement in order
to be able to successfully interact with
the API and process its response(s).
(v) Terms of use. The terms of use for
the API must be provided, including, at
a minimum, any associated developer
policies and required developer
agreements.
(8) Accessibility-centered design. For
each capability that a Health IT Module
includes and for which that capability’s
certification is sought, the use of a
health IT accessibility-centered design
standard or law in the development,
testing, implementation and
maintenance of that capability must be
identified.
(i) If a single accessibility-centered
design standard or law was used for
applicable capabilities, it would only
need to be identified once.
(ii) If different accessibility-centered
design standards and laws were applied
to specific capabilities, each
accessibility-centered design standard
or law applied would need to be
identified. This would include the
application of an accessibility-centered
design standard or law to some
capabilities and none to others.
(iii) If no accessibility-centered design
standard or law was applied to all
applicable capabilities such a response
is acceptable to satisfy this certification
criterion.
(h) Transport methods and other
protocols—(1) Direct Project—(i)
Applicability Statement for Secure
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Health Transport. Technology must be
able to send and receive health
information in accordance with the
standards specified in § 170.202(a).
(ii) Optional—Applicability Statement
for Secure Health Transport and
Delivery Notification in Direct.
Technology must be able to send and
receive health information in
accordance with the standard specified
in § 170.202(e)(1).
(2) Direct Project, Edge Protocol, and
XDR/XDM. Technology must be able to
send and receive health information in
accordance with:
(i) The standards specified in
§ 170.202(a);
(ii) The standard specified in
§ 170.202(b); and
(iii) Both edge protocol methods
specified by the standard in
§ 170.202(d).
(3) SOAP Transport and Security
Specification and XDR/XDM for Direct
Messaging. Technology must be able to
send and receive health information in
accordance with the standards specified
in § 170.202(b) and (c).
(4) Healthcare provider directory—
query request. In accordance with the
standard specified in § 170.202(f)(1),
technology must be able to make, at a
minimum, the following queries to a
directory and subsequently process the
response returned:
(i) Query for an individual provider;
(ii) Query for an organizational
provider;
(iii) Query for both individual and
organizational providers in a single
query; and
(iv) Query for relationships between
individual and organizational providers.
(v) Optional—federation. In
accordance with the standard specified
in § 170.202(f)(1), technology must be
able to process federated responses.
(5) Healthcare provider directory—
query response. In accordance with the
standard specified in § 170.202(f)(1),
technology must be able to, at a
minimum, respond to the following
queries to a directory:
(i) Query for an individual provider;
(ii) Query for an organizational
provider;
(iii) Query for both individual and
organizational providers in a single
query; and
(iv) Query for relationships between
individual and organizational providers.
(v) Optional—federation. In
accordance with the standard specified
in § 170.202(f)(1), technology must be
able to federate queries to other
directories.
(i) Administrative—(1) Electronic
submission of medical documentation—
(i) Document templates. Health IT must
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be able to create electronic documents
for transmission formatted according to
the following standard and applicable
implementation specifications adopted
at § 170.205(a)(4) and (a)(5)(i). With
respect to § 170.205(a)(5)(i):
(A) Health IT must be able to create
the following document types regardless
of the setting for which it is designed:
Diagnostic Imaging Report;
Unstructured Document; Enhanced
Operative Note Document; Enhanced
Procedure Note Document; and Interval
Document.
(B) Ambulatory setting only. Health IT
must be able to create an Enhanced
Encounter Document.
(C) Inpatient setting only. Health IT
must be able to create an Enhanced
Hospitalization Document.
(ii) Digital signature. (A) Applying a
digital signature. Technology must be
able to apply a digital signature in
accordance with the implementation
specification adopted at
§ 170.205(a)(5)(ii) to a document
formatted according to the following
standard and applicable implementation
specifications adopted at § 170.205(a)(4)
and (a)(5)(i). It must also be able to
demonstrate that it can support the
method for delegation of right
assertions.
(1) The cryptographic module used as
part of the technology must: Be
validated to meet or exceed FIPS 140–
2 Level 1; include a digital signature
system and hashing that are compliant
with FIPS 186–2 and FIPS 180–2; and
store the private key in a FIPS–140–2
Level 1 validated cryptographic module
using a FIPS-approved encryption
algorithm. This requirement may be
satisfied through documentation only.
(2) Technology must support multifactor authentication that meets or
exceeds Level 3 assurance as defined in
NIST Special Publication 800–63–2.
(3) After ten minutes of inactivity,
technology must require the certificate
holder to re-authenticate to access the
private key.
(4) If implemented as a software
function, the system must clear the
plain text private key from the system
memory to prevent the unauthorized
access to, or use of, the private key
when the signing module is deactivated.
(5) Technology must record time and
date consistent with the standard
adopted at § 170.210(g).
(B) Validating a digital signature.
Technology must be able validate a
digital signature that has been applied
to a document according to the
implementation specification adopted at
§ 170.205(a)(5)(ii).
(iii) Author of record level 1. Using
the same system capabilities expressed
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in paragraph (i)(1)(ii), technology must
be able to apply a digital signature
according to the implementation
specification adopted at
§ 170.205(a)(5)(iii) to sign single or
bundles of documents a document
formatted according to the following
standard and applicable implementation
specifications adopted at § 170.205(a)(4)
and (a)(5)(i).
(iv) Transactions. Using the same
system capabilities expressed in
paragraph (i)(1)(ii) of this section,
technology must be able to apply a
digital signature according to the
implementation specification adopted at
§ 170.205(a)(5)(iv) to a transaction and
include the signature as accompanying
metadata in the signed transaction.
(2) [Reserved]
§§ 170.500, 170.501, 170.502, 170.503,
170.504, 170.505, 170.510, 170.520, 170.523,
170.525, 170.530, 170.535, 170.540, 170.545,
170.550, 170.553, 170.555, 170.557, 170.560,
170.565, 170.570, 170.575, and 170.599
[Amended]
12. In subpart E, consisting of
§§ 170.500 through 170.599:
■ a. Remove the term ‘‘ONC HIT
Certification Program’’ and add in its
place ‘‘ONC Health IT Certification
Program’’ wherever it may appear;
■ b. Remove the acronym ‘‘HIT’’ and
add in its place ‘‘health IT’’ wherever it
may appear;
■ c. Remove the term ‘‘EHR Module’’
and add in its place ‘‘Health IT Module’’
wherever it may appear;
■ d. Remove the term ‘‘EHR Modules’’
and add in its place ‘‘Health IT
Modules’’ wherever it may appear; and
■ e. Remove the term ‘‘EHR Module(s)’’
and add in its place ‘‘Health IT
Module(s)’’ wherever it may appear.
■ 13. In § 170.503, revise paragraph
(e)(4) to read as follows:
■
§ 170.503 Requests for ONC–AA status
and ONC–AA ongoing responsibilities.
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*
*
*
*
*
(e) * * *
(4) Verify that ONC–ACBs are
performing surveillance as required by
and in accordance with § 170.556,
§ 170.523(k), and their respective annual
plans; and
*
*
*
*
*
■ 14. Amend § 170.523 by—
■ a. Revising paragraphs (f), (g), (i), and
(k); and
■ b. Adding paragraphs (m) and (n).
The additions and revisions read as
follows:
§ 170.523 Principles of proper conduct for
ONC–ACBs.
*
*
*
*
*
(f) Provide ONC, no less frequently
than weekly, a current list of Health IT
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Modules, Complete EHRs, and/or EHR
Modules that have been certified that
includes, at a minimum:
(1) For the 2015 Edition health IT
certification criteria and subsequent
editions of health IT certification
criteria:
(i) The Health IT Module developer
name; product name; product version;
developer Web site, physical address,
email, phone number, and contact
name;
(ii) The ONC–ACB Web site, physical
address, email, phone number, and
contact name, contact function/title;
(iii) The ATL Web site, physical
address, email, phone number, and
contact name, contact function/title;
(iv) Location and means by which the
testing was conducted (e.g., remotely
with health IT developer at its
headquarters location);
(v) The date(s) the Health IT Module
was tested;
(vi) The date the Health IT Module
was certified;
(vii) The unique certification number
or other specific product identification;
(viii) The certification criterion or
criteria to which the Health IT Module
has been certified, including the test
procedure and test data versions used,
test tool version used, and whether any
test data was altered (i.e., a yes/no) and
for what purpose;
(ix) The way in which each privacy
and security criterion was addressed for
the purposes of certification;
(x) The standard or mapping used to
meet the quality management system
certification criterion;
(xi) The standard(s) or lack thereof
used to meet the accessibility-centered
design certification criterion;
(xii) Where applicable, the hyperlink
to access an application programming
interface (API)’s documentation and
terms of use;
(xiii) Where applicable, which
certification criteria were gap certified;
(xiv) Where applicable, if a
certification issued was a result of an
inherited certified status request;
(xv) Where applicable, the clinical
quality measures to which the Health IT
Module has been certified;
(xvi) Where applicable, any additional
software a Health IT Module relied
upon to demonstrate its compliance
with a certification criterion or criteria
adopted by the Secretary;
(xvii) Where applicable, the
standard(s) used to meet a certification
criterion where more than one is
permitted;
(xviii) Where applicable, any optional
capabilities within a certification
criterion to which the Health IT Module
was tested and certified;
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16915
(xix) Where applicable, and for each
applicable certification criterion, all of
the information required to be
submitted by Health IT Module
developers to meet the safety-enhanced
design certification criterion. Each usercentered design element required to be
reported must be at a granular level
(e.g., task success/failure)); and
(xx) Where applicable, for each
instance in which a Health IT Module
failed to conform to its certification and
for which corrective action was
instituted under § 170.556 (provided no
provider or practice site is identified):
(A) The specific certification criterion
to which the technology failed to
conform as determined by the ONC–
ACB;
(B) The dates surveillance was
initiated and when available,
completed;
(C) The results of the surveillance
(pass rate for each criterion);
(D) The number of sites that were
used in surveillance;
(E) The date corrective action began;
(F) When available, the date
correction action ended;
(G) A summary of the deficiency or
deficiencies identified by the ONC–ACB
as the basis for its determination of nonconformance; and
(H) When available, the health IT
developer’s explanation of the
deficiency or deficiencies identified by
the ONC–ACB as the basis for its
determination of non-conformance.
(2) For the 2014 Edition EHR
certification criteria:
(i) The Complete EHR or EHR Module
developer name (if applicable);
(ii) The date certified;
(iii) The product version;
(iv) The unique certification number
or other specific product identification;
(v) The clinical quality measures to
which a Complete EHR or EHR Module
has been certified;
(vi) Where applicable, any additional
software a Complete EHR or EHR
Module relied upon to demonstrate its
compliance with a certification criterion
or criteria adopted by the Secretary;
(vii) Where applicable, the
certification criterion or criteria to
which each EHR Module has been
certified; and
(viii) A hyperlink to the test results
used to certify the Complete EHRs and/
or EHR Modules that can be accessed by
the public.
(ix) Where applicable, for each
instance in which a Complete EHR or
EHR Module failed to conform to its
certification and for which corrective
action was instituted under § 170.556
(provided no provider or practice site is
identified):
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(A) The specific certification criterion
to which the technology failed to
conform as determined by the ONC–
ACB;
(B) The dates surveillance was
initiated and when available,
completed;
(C) The results of the surveillance
(pass rate for each criterion);
(D) The number of sites that were
used in surveillance;
(E) The date corrective action began;
(F) When available, the date
corrective action ended;
(G) A summary of the deficiency or
deficiencies identified by the ONC–ACB
as the basis for its determination of nonconformance; and
(H) When available, the developer’s
explanation of the deficiency or
deficiencies identified by the ONC–ACB
as the basis for its determination of nonconformance.
(g) Retain all records related to the
certification of Complete EHRs and
Health IT Modules for a minimum of 6
years and make them available to HHS
upon request;
*
*
*
*
*
(i) Submit an annual surveillance plan
to the National Coordinator and, in
accordance with its surveillance plan,
its accreditation, and § 170.556:
(1) Conduct surveillance of certified
Complete EHRs and Health IT Modules;
and
(2) Report, at a minimum, on a
quarterly basis to the National
Coordinator the results of its
surveillance.
*
*
*
*
*
(k) Ensure adherence to the following
requirements when issuing any
certification and during surveillance of
Complete EHRs and Health IT Modules
the ONC–ACB has certified:
(1) A Health IT developer must
conspicuously include the following on
its Web site and in all marketing
materials, communications statements,
and other assertions related to the
Complete EHR or Health IT Module’s
certification:
(i) The disclaimer ‘‘This [Complete
EHR or Health IT Module] is [specify
Edition of EHR certification criteria]
compliant and has been certified by an
ONC–ACB in accordance with the
applicable certification criteria adopted
by the Secretary of Health and Human
Services. This certification does not
represent an endorsement by the U.S.
Department of Health and Human
Services. Complaints related to this
[Complete EHR or Health IT Module]’s
certified capabilities or health IT
developer’s disclosures should be
submitted to ONC.Certification@
hhs.gov.’’
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(ii) The information an ONC–ACB is
required to report to the National
Coordinator under paragraphs (f)(1) and
(2) of this section as applicable for the
specific Complete EHR or Health IT
Module.
(iii) In plain language, a detailed
description of all known material
information concerning:
(A) Additional types of costs that a
user may be required to pay to
implement or use the Complete EHR or
Health IT Module’s capabilities,
whether to meet meaningful use
objectives and measures or to achieve
any other use within the scope of the
health IT’s certification.
(B) Limitations that a user may
encounter in the course of
implementing and using the Complete
EHR or Health IT Module’s capabilities,
whether to meet meaningful use
objectives and measures or to achieve
any other use within the scope of the
health IT’s certification.
(iv) The types of information required
to be disclosed under paragraph (k)(iii)
of this section include but are not
limited to:
(A) Additional types of costs or fees
(whether fixed, recurring, transactionbased, or otherwise) imposed by a
health IT developer (or any third-party
from whom the developer purchases,
licenses, or obtains any technology,
products, or services in connection with
its certified health IT) to purchase,
license, implement, maintain, upgrade,
use, or otherwise enable and support the
use of capabilities to which health IT is
certified; or in connection with any data
generated in the course of using any
capability to which health IT is
certified.
(B) Limitations, whether by contract
or otherwise, on the use of any
capability to which technology is
certified for any purpose within the
scope of the technology’s certification;
or in connection with any data
generated in the course of using any
capability to which health IT is
certified.
(C) Limitations, including but not
limited to technical or practical
limitations of technology or its
capabilities, that could prevent or
impair the successful implementation,
configuration, customization,
maintenance, support, or use of any
capabilities to which technology is
certified; or that could prevent or limit
the use, exchange, or portability of any
data generated in the course of using
any capability to which technology is
certified.
(vi) Health IT self-developers are
excluded from the requirements of
paragraph (k)(1)(iii) of this section.
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(2) A health IT developer must attest
as a condition of certification to any
certification criterion that it will timely
provide in plain writing, conspicuously,
and in sufficient detail:
(i) To all customers, prior to providing
or entering into any agreement to
provide any certified health IT or
related product or service (including
subsequent updates, add-ons, or
additional products or services during
the course of an on-going agreement),
the information required to be disclosed
under paragraph (k)(1) of this section;
(ii) To any person who requests or
receives a quotation, estimate,
description of services, or other
assertion or information from the
developer in connection with any
certified health IT or any capabilities
thereof, the information required to be
disclosed under paragraph (k)(1) of this
section; and
(iii) To any person, upon request, all
or any part of the information required
to be disclosed under paragraph (k)(1) of
this section.
(3) A certification issued to a precoordinated, integrated bundle of Health
IT Modules shall be treated the same as
a certification issued to a Complete EHR
for the purposes of paragraph (k)(1) of
this section, except that the certification
must also indicate each Health IT
Module that is included in the bundle;
and
(4) A certification issued to a
Complete EHR or Health IT Module
based solely on the applicable
certification criteria adopted by the
Secretary at subpart C of this part must
be separate and distinct from any other
certification(s) based on other criteria or
requirements.
*
*
*
*
*
(m) Obtain a record of all adaptations
and updates, including changes to userfacing aspects, made to certified
Complete EHRs and certified Health IT
Modules, on a monthly basis each
calendar year.
(n) Submit a list of complaints
received to the National Coordinator on
a quarterly basis that includes the
number of complaints received, the
nature/substance of each complaint, and
the type of complainant.
■ 15. Amend § 170.550 by—
■ a. Redesignating paragraph (g) as
paragraph (k);
■ b. Adding paragraphs (g) and (h); and
■ c. Adding reserved paragraph (i) and
paragraph (j).
The additions read as follows:
§ 170.550
Health IT Module certification.
*
*
*
*
*
(g) When certifying a Health IT
Module to the 2015 Edition health IT
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certification criteria, an ONC–ACB must
certify the Health IT Module in
accordance with the certification criteria
at:
(1) Section 170.315(g)(3) if the Health
IT Module is presented for certification
to one or more listed certification
criteria in § 170.315(g)(3);
(2) Section 170.315(g)(4);
(3) Section 170.315(g)(5) if the Health
IT Module is presented for certification
to one or more of the certification
criteria referenced in § 170.315(g)(5);
(4) Section 170.315(g)(6) if the Health
IT Module is presented for certification
with C–CDA creation capabilities within
its scope. If the scope of certification
sought includes multiple certification
criteria that require C–CDA creation,
§ 170.315(g)(6) need only be tested in
association with one of those
certification criteria and would not be
expected or required to be tested for
each; and
(5) Section 170.315(g)(8).
(h) Privacy and security
certification—(1) General rule. When
certifying a Health IT Module to the
2015 Edition health IT certification
criteria, an ONC–ACB can only issue a
certification to a Health IT Module if the
following adopted privacy and security
certification criteria have also been met
as applicable to the specific capabilities
included for certification:
(i) Section 170.315(a) is also certified
to the certification criteria adopted at
§ 170.315(d)(1) through (7);
(ii) Section 170.315(b) is also certified
to the certification criteria adopted at
§ 170.315(d)(1) through (3) and (d)(5)
through (8);
(iii) Section 170.315(c) is also
certified to the certification criteria
adopted at § 170.315(d)(1) through (3);
(iv) Section 170.315(e) is also certified
to the certification criteria adopted at
§ 170.315(d)(1) through (3), (5), and (7);
(v) Section 170.315(f) is also certified
to the certification criteria adopted at
§ 170.315(d)(1) through (3) and (7);
(vi) Section 170.315(h) is also
certified to the certification criteria
adopted at § 170.315(d)(1) through (3);
and
(vii) Section 170.315(i) is also
certified to the certification criteria
adopted at § 170.315(d)(1) through (3)
and (d)(5) through (8).
(2) Methods to demonstrate
compliance with each privacy and
security criterion. One of the following
methods must be used to meet each
applicable privacy and security criterion
listed in paragraph (h)(1) of this section:
(i) Directly, by demonstrating a
technical capability to satisfy the
applicable certification criterion or
certification criteria; or
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(ii) Demonstrate, through system
documentation sufficiently detailed to
enable integration, that the Health IT
Module has implemented service
interfaces for each applicable privacy
and security certification criterion that
enable the Health IT Module to access
external services necessary to meet the
privacy and security certification
criterion.
(i) [Reserved]
(j) Direct Project transport method. An
ONC–ACB can only issue a certification
to a Health IT Module for
§ 170.315(h)(1) if the Health IT Module’s
certification also includes
§ 170.315(b)(1).
*
*
*
*
*
16917
must verify that the requirements of
§ 170.523(k)(1) have been followed as
applicable to the issued certification.
(c) Randomized surveillance. An
ONC–ACB must initiate in-the-field
surveillance for at least 10% of the
Complete EHRs and Health IT Modules
to which it has issued a certification.
Such surveillance must occur on a
rolling basis throughout each calendar
year.
(1) Scope. When an ONC–ACB selects
a certified Complete EHR or certified
Health IT Module for randomized
surveillance under this paragraph, its
evaluation of the certified Complete
EHR or certified Health IT Module must
include all certification criteria
prioritized by the National Coordinator
under paragraph (b)(1) of this section
§ 170.553 [Removed and Reserved]
that are part of the scope of the
■ 16. Remove and reserve § 170.553.
certification issued to the Complete EHR
■ 17. Add § 170.556 to read as follows:
or Health IT Module.
§ 170.556 In-the-field surveillance and
(2) Rolling surveillance. Randomized
maintenance of certification for Health IT.
surveillance required by this paragraph
(a) In-the-field surveillance.
must be completed on an ongoing basis
Consistent with its accreditation to ISO/ throughout the calendar year.
IEC 17065 and the requirements of this
(3) Random selection. An ONC–ACB
subpart, an ONC–ACB must initiate
must randomly select certified Complete
surveillance ‘‘in the field’’ as necessary
EHRs and certified Health IT Modules
to assess whether a certified Complete
for surveillance under this paragraph.
(4) Number and types of locations for
EHR or certified Health IT Module
in-the-field surveillance. For each
continues to conform to the
requirements of its certification once the certified Compete EHR or certified
Health IT Module selected for
certified Complete EHR or certified
randomized surveillance under this
Health IT Module has been
paragraph (c), an ONC–ACB must
implemented and is in use in a
evaluate the certified Complete EHR or
production environment.
(1) Production environment. An
certified Health IT Module’s capabilities
ONC–ACB’s assessment of a certified
at the lesser of 10 or 5% of locations
capability in the field must be based on
where the certified Complete EHR or
the use of the capability in a production certified Health IT Module is
environment, which means a live
implemented and in use in the field.
(5) Results of randomized
environment in which the capabilities
surveillance—(i) Successful surveillance
have been implemented and are in use.
(2) Production data. An ONC–ACB’s
results. A certified Complete EHR or
assessment of a certified capability in
certified Health IT Module will be
the field must be based on the use of the deemed successful under this paragraph
capability with production data unless
if and only if an ONC–ACB determines
the use of test data is specifically
that, for each and every certification
approved by the National Coordinator.
criterion evaluated, the certified
(b) Reactive surveillance. An ONC–
Complete EHR or certified Health IT
ACB must initiate in-the-field
Module demonstrated continued
surveillance whenever it becomes aware conformance at 80% or more locations.
(ii) Deficient surveillance results. A
of facts or circumstances that would
certified Complete EHR or certified
cause a reasonable person to question a
Health IT Module will be deemed
certified Complete EHR or certified
deficient under this paragraph if an
Health IT Module’s continued
ONC–ACB determines that, for any
conformance to the requirements of its
certification criterion evaluated, the
certification.
(1) Prioritized certification criteria. An Complete EHR or Health IT Module
ONC–ACB must initiate in-the-field
demonstrated continued conformance at
surveillance if it identifies a trend of
less than 80% of locations.
(6) Corrective action plan—(i)
non-conformance complaints associated
with any certification criteria prioritized Whenever a Complete EHR or Health IT
Module is deemed deficient pursuant to
by the National Coordinator.
paragraph (c)(5)(ii) of this section, the
(2) Review of required disclosures.
ONC–ACB must notify the developer of
When an ONC–ACB performs reactive
surveillance under this paragraph (b), it the deficiency and require the developer
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to submit a proposed corrective action
plan for the applicable certification
criterion or certification criteria within
30 days of the date of said notice.
(ii) The ONC–ACB shall provide
direction to the developer as to the
required elements of the corrective
action plan.
(iii) The ONC–ACB shall determine
the required elements of the corrective
action plan, consistent with its
accreditation and any elements
specified by the National Coordinator.
At a minimum, any corrective action
plan submitted by a developer to an
ONC–ACB must include:
(A) A description of the identified
deficiencies;
(B) An assessment of how widespread
or isolated the identified deficiencies
may be across the developer’s install
base for certified Complete EHR or
certified Health IT Module;
(C) How the developer will address
the identified conformance deficiencies
in general and at the locations under
which surveillance occurred; and
(D) The timeframe under which
corrective action will be completed.
(7) Certificate suspension procedures
in the context of randomized
surveillance and corrective action plans.
Under this section and consistent with
an ONC–ACB’s accreditation to ISO/IEC
17065 and procedures for suspending a
certification, an ONC–ACB is permitted
to initiate certificate suspension
procedures for the Complete EHR or
Health IT Module if the developer
thereof:
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(i) Does not submit a proposed
corrective action plan to the ONC–ACB
within 30 days of being notified of its
deficient surveillance results;
(ii) Does not comply with the ONC–
ACB’s directions for addressing any
aspects of the proposed corrective
action plan that do not meet the
requirements of the ONC–ACB or the
ONC Health IT Certification Program; or
(iii) Does not complete an approved
corrective action plan within 6 months
of approval of the plan by the ONC–
ACB.
(8) Certificate termination procedures
in the context of randomized
surveillance. If a certified Complete EHR
or certified Health IT Module’s
certification has been suspended in the
context of randomized surveillance
under this paragraph, an ONC–ACB is
permitted to initiate certification
termination procedures for the
Complete EHR or Health IT Module
(consistent with its accreditation to ISO/
IEC 17065 and procedures for
terminating a certification) when the
developer has not completed the actions
necessary to reinstate the suspended
certification.
(9) Prohibition on consecutive
selection for randomized surveillance.
An ONC–ACB is prohibited from
selecting a certified Complete EHR or
certified Health IT Module for
randomized surveillance under this
paragraph more than once during any
consecutive 12 month period. This
limitation does not apply to reactive and
other forms of surveillance required
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under this subpart and the ONC–ACB’s
accreditation.
(d) Reporting of surveillance results
requirements—(1) Rolling submission of
in-the-field surveillance results. The
results of in-the-field surveillance under
this section must be submitted to the
National Coordinator on an ongoing
basis throughout the calendar year.
(2) Confidentiality of locations
evaluated. The contents of an ONC–
ACB’s surveillance results submitted to
the National Coordinator must not
include any information that would
identify any user or location that
participated in or was subject to
surveillance.
(3) Reporting of corrective action
plans. When a corrective action plan is
initiated for a Complete EHR or Health
IT Module, an ONC–ACB must report
the Complete EHR or Health IT Module
(and its product identification
information) to the National Coordinator
in accordance with § 170.523(f)(1)(xix)
or (f)(2)(ix), as applicable.
(e) Relationship to other surveillance
requirements. Nothing in this section
shall be construed to limit or constrain
an ONC–ACB’s general ability to
perform surveillance, including in-thefield surveillance, on any certified
Complete EHR or certified Health IT
Module at any time, as determined
appropriate by the ONC–ACB.
Dated: March 18, 2015.
Sylvia M. Burwell,
Secretary.
Note: The following appendix will not
appear in the Code of Federal Regulations.
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APPENDIX A—2015 EDITION HEALTH IT CERTIFICATION CRITERIA
Proposed CFR
citation
Certification criterion
§ 170.315(a)(1) ......
Computerized Provider
Order Entry (CPOE)—
medications.
CPOE—laboratory ...........
§ 170.315(a)(2) ......
§ 170.315(a)(3) ......
§ 170.315(d)(1)
through (d)(7).
1,000/2,000
§ 170.315(d)(1)
through (d)(7).
0/50
§ 170.315(d)(1)
through (d)(7).
400/800
§ 170.315(d)(1)
through (d)(7).
500/1,000
§ 170.315(d)(1)
through (d)(7).
Drug-drug, Drug-allergy
Interaction Checks for
CPOE.
Demographics .................
§ 170.315(a)(5) ......
Proposed privacy
and security
certification
requirements 271
(Approach 1)
0/50
CPOE—diagnostic imaging.
§ 170.315(a)(4) ......
Estimated
average
developmental
hours 270
av. low/av.
high
§ 170.315(a)(6) ......
Vital Signs, BMI, and
Growth Charts.
614/922
§ 170.315(d)(1)
through (d)(7).
§ 170.315(a)(7) ......
Problem List ....................
100/200
§ 170.315(d)(1)
through (d)(7).
§ 170.315(a)(8) ......
Medication List ................
0/50
§ 170.315(d)(1)
through (d)(7).
§ 170.315(a)(9) ......
Medication Allergy List ....
0/50
§ 170.315(d)(1)
through (d)(7).
§ 170.315(a)(10) ....
Clinical Decision Support
600/1,200
§ 170.315(d)(1)
through (d)(7).
§ 170.315(a)(11) ....
310/620
§ 170.315(a)(12) ....
Drug-formulary and Preferred Drug List Checks.
Smoking Status ...............
§ 170.315(d)(1)
through (d)(7).
§ 170.315(d)(1)
through (d)(7).
§ 170.315(a)(13) ....
Image Results .................
0/20
§ 170.315(a)(14) ....
Family Health History ......
100/200
§ 170.315(a)(15) ....
Family Health History—
pedigree.
Patient List Creation ........
500/1,200
Patient-specific Education
Resources.
Electronic Medication Administration Record.
600/1,200
Patient Health Information
Capture.
Implantable Device List ...
500/1,000
§ 170.315(a)(16) ....
§ 170.315(a)(17) ....
§ 170.315(a)(18) ....
§ 170.315(a)(19) ....
§ 170.315(a)(20) ....
0/20
0/20
1,100/1,700
§ 170.315(d)(1)
through (d)(7).
§ 170.315(d)(1)
through (d)(7).
§ 170.315(d)(1)
through (d)(7).
§ 170.315(d)(1)
through (d)(7).
§ 170.315(d)(1)
through (d)(7).
§ 170.315(d)(1)
through (d)(7).
§ 170.315(d)(1)
through (d)(7).
§ 170.315(d)(1)
through (d)(7).
Social, Psychological, and
Behavioral Data.
Decision Support—knowledge artifact.
235/470
§ 170.315(a)(22) ....
394/788
§ 170.315(d)(1)
through (d)(7).
§ 170.315(d)(1)
through (d)(7).
§ 170.315(a)(23) ....
Decision Support—service.
229/458
§ 170.315(d)(1)
through (d)(7).
§ 170.315(b)(1) ......
Transitions of Care ..........
1,550/3,100
§ 170.315(b)(2) ......
Clinical Information Reconciliation and Incorporation.
600/1,200
§ 170.315(b)(3) ......
Electronic Prescribing ......
1,050/2,100
§ 170.315(b)(4) ......
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§ 170.315(a)(21) ....
100/200
Incorporate Laboratory
Tests and Values/Results.
313/626
§ 170.315(b)(5) ......
Transmission of Laboratory Test Reports.
360/720
§ 170.315(b)(6) ......
Data Portability ................
§ 170.315(b)(7) ......
Data Segmentation for
Privacy—send.
§ 170.315(d)(1)
through (d)(3)
and (d)(5)
through (d)(8).
§ 170.315(d)(1)
through (d)(3)
and (d)(5)
through (d)(8).
§ 170.315(d)(1)
through (d)(3)
and (d)(5)
through (d)(8).
§ 170.315(d)(1)
through (d)(3)
and (d)(5)
through (d)(8).
§ 170.315(d)(1)
through (d)(3)
and (d)(5)
through (d)(8).
§ 170.315(d)(1)
through (d)(3)
and (d)(5)
through (d)(8).
§ 170.315(d)(1)
through (d)(3)
and (d)(5)
through (d)(8).
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800/1,200
450/900
PO 00000
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Conditional
certification
requirements
(§ 170.550)
Proposed inclusion in
2015 edition base
EHR definition
Gap certification
eligibility
Relationship to the proposed CEHRT 272
definition and
proposed EHR
Incentive Programs
Stage 3 objectives
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.314(a)(1)
§ 170.314(a)(18)
Included 273 ................
Objective 4.
Not eligible .............................
Included 274 ................
Objective 4.
§ 170.314(a)(1)
§ 170.314(a)(20)
Included 275 ................
Objective 4.
Not eligible .............................
Not included ..............
Objective 3.
Not eligible .............................
Included .....................
Not eligible .............................
Not included ..............
No additional relationship beyond the Base
EHR Definition.
No relationship.
Not eligible .............................
Included .....................
§ 170.314(a)(6) .......................
Included .....................
§ 170.314(a)(7) .......................
Included .....................
Not eligible .............................
Included .....................
No additional relationship beyond the Base
EHR Definition.
No additional relationship beyond the Base
EHR Definition.
No additional relationship beyond the Base
EHR Definition.
Objective 3.
Not eligible .............................
Not included ..............
Objective 2.
Not eligible .............................
Included .....................
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(6)
§ 170.315(g)(8)
§ 170.314(a)(12) .....................
Not included ..............
No additional relationship beyond the Base
EHR Definition.
No relationship.
Not eligible .............................
Not included ..............
CEHRT.276
Not eligible .............................
Not included ..............
CEHRT.277
§ 170.314(a)(14) .....................
Not included ..............
No relationship.
Not eligible .............................
Not included ..............
Objective 5.
§ 170.314(a)(16) .....................
Not included ..............
No relationship.
Not eligible .............................
Not included ..............
Not eligible .............................
Included .....................
Not eligible .............................
Not included ..............
CEHRT
Objective 6.
No additional relationship beyond the Base
EHR Definition.
No relationship.
Not eligible .............................
Not included ..............
No relationship.
Not eligible .............................
Not included ..............
No relationship.
Not eligible .............................
Included .....................
Objective 7.
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(6)
§ 170.315(g)(8)
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
Objective 7.
Not eligible .............................
Not included ..............
Objective 2.
§ 170.315(g)(3)
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
No relationship.
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
No relationship.
§ 170.315(g)(4)
§ 170.315(g)(6)
§ 170.315(g)(8)
Not eligible .............................
Included .....................
No additional relationship beyond the Base
EHR Definition.
§ 170.315(g)(4)
§ 170.315(g)(6)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
No relationship.
Fmt 4701
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30MRP2
16920
Federal Register / Vol. 80, No. 60 / Monday, March 30, 2015 / Proposed Rules
APPENDIX A—2015 EDITION HEALTH IT CERTIFICATION CRITERIA—Continued
Proposed CFR
citation
Certification criterion
Estimated
average
developmental
hours 270
av. low/av.
high
§ 170.315(b)(8) ......
Data Segmentation for
Privacy—receive.
450/900
§ 170.315(b)(9) ......
Care Plan ........................
300/500
§ 170.315(c)(1) .......
Clinical Quality Measures—record and export.
Clinical Quality Measures—import and calculate.
Reserved for Clinical
Quality Measures—
record.
Clinical Quality Measures—filter.
Authentication, Access
Control, Authorization.
Auditable Events and
Tamper-resistance.
Audit Report(s) ................
200/500
§ 170.315(c)(2) .......
§ 170.315(c)(3) .......
§ 170.315(c)(4) .......
§ 170.315(d)(1) ......
§ 170.315(d)(2) ......
§ 170.315(d)(3) ......
Proposed privacy
and security
certification
requirements 271
(Approach 1)
Not included ..............
No relationship.
§ 170.315(g)(4)
§ 170.315(g)(6)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
No relationship.
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Included .....................
CEHRT.
0/200
§ 170.315(d)(1)
through (d)(3).
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
No relationship.
Reserved
§ 170.315(d)(1)
through (d)(3).
§ 170.315(g)(4)
§ 170.315(g)(8)
Reserved ................................
Reserved ...................
Reserved.278
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(6)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
No relationship.
§ 170.314(d)(1) .......................
Not included ..............
No relationship.
§ 170.314(d)(2) .......................
Not included ..............
No relationship.
§ 170.314(d)(3) .......................
Not included ..............
No relationship.
§ 170.314(d)(4) .......................
Not included ..............
No relationship.
§ 170.314(d)(5) .......................
Not included ..............
No relationship.
§ 170.314(d)(6) .......................
Not included ..............
No relationship.
§ 170.314(d)(7) .......................
Not included ..............
No relationship.
§ 170.314(d)(8) .......................
Not included ..............
No relationship.
§ 170.314(d)(9) .......................
Not included ..............
No relationship.
Not eligible .............................
Not included ..............
Objective 5
Objective 6.
§ 170.314(e)(3) .......................
Not included ..............
Objective 6.
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
Objective 8.279
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
Objective 8.
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
Objective 8.
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
Objective 8.
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
Objective 8.
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
Objective 8.
316/632
0/50
§ 170.315(d)(1)
through (d)(3).
Not applicable (N/A)
0/50
N/A .........................
0/50
N/A .........................
Amendments ...................
0/50
N/A .........................
0/50
N/A .........................
0/50
N/A .........................
End-User Device
Encryption.
Integrity ............................
0/50
N/A .........................
§ 170.315(d)(8) ......
0/50
N/A .........................
§ 170.315(d)(9) ......
Accounting of Disclosures
0/20
N/A .........................
§ 170.315(e)(1) ......
View, Download, and
Transmit to 3rd Party.
1,000/2,000
§ 170.315(e)(2) ......
Secure Messaging ...........
§ 170.315(f)(1) .......
Transmission to Immunization Registries.
§ 170.315(f)(2) .......
Transmission to Public
Health Agencies—
syndromic surveillance.
Transmission to Public
Health Agencies—reportable laboratory
tests and values/results.
Transmission to Cancer
Registries.
§ 170.315(d)(1)
through (d)(3),
(d)(5), and (d)(7).
§ 170.315(d)(1)
through (d)(3),
(d)(5), and (d)(7).
§ 170.315(d)(1)
through (d)(3)
and (d)(7).
§ 170.315(d)(1)
through (d)(3)
and (d)(7).
§ 170.315(d)(1)
through (d)(3)
and (d)(7).
§ 170.315(f)(4) .......
§ 170.315(f)(5) .......
§ 170.315(f)(6) .......
§ 170.315(f)(7) .......
§ 170.315(g)(1) ......
§ 170.315(g)(2) ......
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
§ 170.315(g)(3) ......
§ 170.315(g)(4) ......
§ 170.315(g)(5) ......
§ 170.315(g)(6) ......
§ 170.315(g)(7) ......
§ 170.315(g)(8) ......
§ 170.315(h)(1) ......
VerDate Sep<11>2014
Transmission to Public
Health Agencies—case
reporting.
Transmission to Public
Health Agencies—antimicrobial use and resistance reporting.
Transmission to Public
Health Agencies—
health care surveys.
Automated Numerator
Recording.
Automated Measure Calculation.
Safety-Enhanced Design
Quality Management System.
Accessibility Technology
Compatibility.
Consolidated CDA Creation Performance.
Application Access to
Common Clinical Data
Set.
Accessibility-Centered
Design.
Direct Project ...................
23:09 Mar 27, 2015
Relationship to the proposed CEHRT 272
definition and
proposed EHR
Incentive Programs
Stage 3 objectives
Not eligible .............................
Automatic Access Timeout.
Emergency Access ..........
§ 170.315(f)(3) .......
Proposed inclusion in
2015 edition base
EHR definition
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(d)(5) ......
§ 170.315(d)(7) ......
Gap certification
eligibility
§ 170.315(d)(1)
through (d)(3)
and (d)(5)
through (d)(8).
§ 170.315(d)(1)
through (d)(3)
and (d)(5)
through (d)(8).
§ 170.315(d)(1)
through (d)(3).
§ 170.315(d)(4) ......
§ 170.315(d)(6) ......
Conditional
certification
requirements
(§ 170.550)
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0/50
680/1,360
480/960
520/1,040
500/1,000
500/1,000
500/1,000
500/1,000
§ 170.315(d)(1)
through (d)(3)
and (d)(7).
§ 170.315(d)(1)
through (d)(3)
and (d)(7).
§ 170.315(d)(1)
through (d)(3)
and (d)(7).
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
Objective 8.
400/800
§ 170.315(d)(1)
through (d)(3)
and (d)(7).
N/A .........................
§ 170.315(g)(4)
Fact-specific ...........................
Not included ..............
CEHRT.
600/1,200
N/A .........................
§ 170.315(g)(4)
Fact-specific ...........................
Not included ..............
CEHRT.
300/600
400/800
N/A .........................
N/A .........................
N/A
N/A
Fact-specific ...........................
Not eligible .............................
Not included ..............
Not included ..............
No relationship.
No relationship.
800/1400
N/A .........................
N/A
Not eligible .............................
Not included ..............
No relationship.
400/1,000
N/A .........................
N/A
Not eligible .............................
Not included ..............
No relationship.
500/1,000
N/A .........................
Not eligible .............................
Included .....................
Objective 5
Objective 6.
50/100
N/A .........................
§ 170.315(g)(4)
§ 170.315(g)(6)
§ 170.315(g)(8)
N/A
Not eligible .............................
Not included ..............
No relationship.
§ 170.314(b)(1)(i)(A) and
§ 170.314(b)(2)(ii)(A)
§ 170.314(h)(1)
Included 280
No relationship beyond
the Base EHR Definition.
0/50
§ 170.315(d)(1)
through (d)(3).
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§ 170.315(b)(1)
§ 170.315(g)(4)
§ 170.315(g)(8)
Fmt 4701
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................
Federal Register / Vol. 80, No. 60 / Monday, March 30, 2015 / Proposed Rules
16921
APPENDIX A—2015 EDITION HEALTH IT CERTIFICATION CRITERIA—Continued
Estimated
average
developmental
hours 270
av. low/av.
high
Proposed privacy
and security
certification
requirements 271
(Approach 1)
Conditional
certification
requirements
(§ 170.550)
Proposed CFR
citation
Certification criterion
§ 170.315(h)(2) ......
Direct Project, Edge Protocol, and XDR/XDM.
0/50
§ 170.315(d)(1)
through (d)(3).
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(h)(3) ......
SOAP Transport and Security Specification and
XDR/XDR for Direct
Messaging.
Healthcare Provider Directory—query request.
Healthcare Provider Directory—query response.
Electronic Submission of
Medical Documentation.
0/20
§ 170.315(d)(1)
through (d)(3).
§ 170.315(g)(4)
§ 170.315(g)(8)
120/240
§ 170.315(d)(1)
through (d)(3).
§ 170.315(d)(1)
through (d)(3).
§ 170.315(d)(1)
through (d)(3)
and (d)(5)
through (d)(8).
§ 170.315(h)(4) ......
§ 170.315(h)(5) ......
§ 170.315(j)(1) ........
120/240
1000/200
Proposed inclusion in
2015 edition base
EHR definition
Gap certification
eligibility
Relationship to the proposed CEHRT 272
definition and
proposed EHR
Incentive Programs
Stage 3 objectives
§ 170.314(b)(1)(i)(B),
§ 170.314(b)(2)(ii)(B), and
§ 170.314(b)(8) 281
170.314(b)(8) 283 and
170.314(h)(2)
§ 170.314(b)(1)(i)(C) and
§ 170.314(b)(2)(ii)(C)
§ 170.314(h)(3)
Included 282 ................
No relationship beyond
the Base EHR Definition.
Not included ..............
No relationship.
§ 170.315(g)(4)
§ 170.315(g)(8)
§ 170.315(g)(4)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
No relationship.
Not eligible .............................
Not included ..............
No relationship.
§ 170.315(g)(4)
§ 170.315(g)(6)
§ 170.315(g)(8)
Not eligible .............................
Not included ..............
No relationship.
[FR Doc. 2015–06612 Filed 3–20–15; 3:00 pm]
see section VIII (‘‘Regulatory Impact
Statement’’) of the preamble for information on how
estimated development hours were calculated. To
note, certification to the 2014 Edition serves as a
foundation for estimating costs. For unchanged
certification criteria, in establishing our cost
estimates for this proposed rule, we used burden
hours multiplied by all health IT developers
previously certified to the 2014 Edition version of
the certification criteria to account for new entrants.
These burden hour estimates are not estimates for
development of a new product to meet one or more
of these certification criteria. For certification
criteria not associated with the EHR Incentive
Programs Stage 3, there is a 60% reduction in
burden hours. This reduction is due to our estimate
that health IT developers would develop 1 product
instead of 2.5 products to each of the certification
criteria.
271 We propose to require that an ONC–ACB must
ensure that a Health IT Module presented for
certification to any of the certification criteria that
fall into the regulatory functional categories of
§ 170.315 for which privacy and security
certification requirements apply either pursues
approach 1 (detailed in the table) or approach 2:
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
270 Please
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23:09 Mar 27, 2015
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Demonstrate, through system documentation
sufficiently detailed to enable integration, that the
Health IT Module has implemented service
interfaces for each applicable privacy and security
certification criterion that enable the Health IT
Module to access external services necessary to
meet the privacy and security certification criterion.
272 CMS’ CEHRT definition would include the
criteria adopted in the Base EHR definition. For
more details on the CEHRT definition, please see
the CMS EHR Incentive Programs proposed rule
published elsewhere in this issue of the Federal
Register.
273 Technology needs to be certified to
§ 170.315(a)(1), (a)(2), or (a)(3).
274 Technology needs to be certified to
§ 170.315(a)(1), (a)(2), or (a)(3).
275 Technology needs to be certified to
§ 170.315(a)(1), (a)(2), or (a)(3).
276 Technology needs to be certified to
§ 170.315(a)(14) or (a)(15).
277 Technology needs to be certified to
§ 170.315(a)(14) or (a)(15).
278 As discussed in the preamble for the ‘‘clinical
quality measures—report’’ criterion, additional
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BILLING CODE 4150–45–P
CQM certification policy may be proposed in or
with CMS payment rules in CY15. As such,
additional CQM certification criteria may be
proposed for the Base EHR and/or CEHRT
definitions.
279 For the public health certification criteria in
§ 170.315(f), technology would only need to be
certified to those criteria that are required to meet
the options the provider intends to report in order
to meet the proposed Objective 8: Public Health and
Clinical Data Registry Reporting.
280 Technology needs to be certified to
§ 170.315(h)(1) or (h)(2).
281 Technology must have been certified to both
edge protocol methods specified by the standard in
§ 170.202(d) to be gap certification eligible.
282 Technology needs to be certified to
§ 170.315(h)(1) or (h)(2).
283 Technology must have been certified to both
edge protocol methods specified by the standard in
§ 170.202(d) to be gap certification eligible.
E:\FR\FM\30MRP2.SGM
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Agencies
[Federal Register Volume 80, Number 60 (Monday, March 30, 2015)]
[Proposed Rules]
[Pages 16804-16921]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2015-06612]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Office of the Secretary
45 CFR Part 170
RIN 0991-AB93
2015 Edition Health Information Technology (Health IT)
Certification Criteria, 2015 Edition Base Electronic Health Record
(EHR) Definition, and ONC Health IT Certification Program Modifications
AGENCY: Office of the National Coordinator for Health Information
Technology (ONC), Department of Health and Human Services (HHS).
ACTION: Notice of proposed rulemaking with comment period.
-----------------------------------------------------------------------
SUMMARY: This notice of proposed rulemaking introduces a new edition of
certification criteria (the 2015 Edition health IT certification
criteria or ``2015 Edition''), proposes a new 2015 Edition Base EHR
definition, and proposes to modify the ONC Health IT Certification
Program to make it open and accessible to more types of health IT and
health IT that supports various care and practice settings. The 2015
Edition would also establish the capabilities and specify the related
standards and implementation specifications that Certified Electronic
Health Record (EHR) Technology (CEHRT) would need to include to, at a
minimum, support the achievement of meaningful use by eligible
professionals (EPs), eligible hospitals, and critical access hospitals
(CAHs) under the Medicare and Medicaid EHR Incentive Programs (EHR
Incentive Programs) when such edition is required for use under these
programs.
DATES: To be assured consideration, written or electronic comments must
be received at one of the addresses provided below, no later than 5
p.m. on May 29, 2015.
ADDRESSES: You may submit comments, identified by RIN 0991-AB93, by any
of the following methods (please do not submit duplicate comments).
Because of staff and resource limitations, we cannot accept comments by
facsimile (FAX) transmission.
Federal eRulemaking Portal: Follow the instructions for
submitting comments. Attachments should be in Microsoft Word, Microsoft
Excel, or Adobe PDF; however, we prefer Microsoft Word. https://www.regulations.gov.
Regular, Express, or Overnight Mail: Department of Health
and Human Services, Office of the National Coordinator for Health
Information Technology, Attention: 2015 Edition Health IT Certification
Criteria Proposed Rule, Hubert H. Humphrey Building, Suite 729D, 200
Independence Ave SW., Washington, DC 20201. Please submit one original
and two copies.
Hand Delivery or Courier: Office of the National
Coordinator for Health Information Technology, Attention: 2015 Edition
Health IT Certification Criteria Proposed Rule, Hubert H. Humphrey
Building, Suite 729D, 200 Independence Ave SW., Washington, DC 20201.
Please submit one original and two copies. (Because access to the
interior of the Hubert H. Humphrey Building is not readily available to
persons without federal government identification, commenters are
encouraged to leave their comments in the mail drop slots located in
the main lobby of the building.)
Enhancing the Public Comment Experience: To facilitate public
comment on this proposed rule, a copy will be made available in
Microsoft Word format. We believe this version will make it easier for
commenters to access and copy portions of the proposed rule for use in
their individual comments. Additionally, a separate document will be
made available for the public to use to provide comments on the
proposed rule. This document is meant to provide the public with a
simple and organized way to submit comments on the certification
criteria, associated standards and implementation specifications, and
respond to specific questions posed in the preamble of the proposed
rule. While use of this document is entirely voluntary, we encourage
commenters to consider using the document in lieu of unstructured
comments or to use it as an addendum to narrative cover pages. Roughly
30% of the public comments submitted to our past two editions of
certification criteria proposed rules used the provided template, which
greatly assisted in our ability to rapidly process and more accurately
categorize public comments. Because of the technical nature of this
proposed rule, we believe that use of the document may facilitate our
review and understanding of the comments received. The Microsoft Word
version of the proposed rule and the document that can be used for
providing comments can be found at https://www.regulations.gov as part
of this proposed rule's docket and on ONC's Web site (https://www.healthit.gov).
Inspection of Public Comments: All comments received before the
close of the comment period will be available for public inspection,
including any personally identifiable or confidential business
information that is included in a comment. Please do not include
anything in your comment submission that you do not wish to share with
the general public. Such information includes, but is not limited to: a
person's social security number; date of birth; driver's license
number; state identification number or foreign country equivalent;
passport number; financial account number; credit or debit card number;
any personal health information; or any business information that could
be considered proprietary. We will post all comments that are received
before the close of the comment period at https://www.regulations.gov.
Docket: For access to the docket to read background documents or
comments received, go to https://www.regulations.gov or the Department
of Health and Human Services, Office of the National Coordinator for
Health Information Technology, Hubert H. Humphrey Building, Suite 729D,
200 Independence Ave SW., Washington,
[[Page 16805]]
DC 20201 (call ahead to the contact listed below to arrange for
inspection).
FOR FURTHER INFORMATION CONTACT: Michael Lipinski, Office of Policy,
Office of the National Coordinator for Health Information Technology,
202-690-7151.
SUPPLEMENTARY INFORMATION:
Commonly Used Acronyms
API Application Programming Interface
CAH Critical Access Hospital
CDA Clinical Document Architecture
CDC Centers for Disease Control and Prevention
CDS Clinical Decision Support
CEHRT Certified Electronic Health Record Technology
CFR Code of Federal Regulations
CHPL Certified Health IT Product List
CLIA Clinical Laboratory Improvement Amendments
CMS Centers for Medicare & Medicaid Services
CQM Clinical Quality Measure
EHR Electronic Health Record
HHS Department of Health and Human Services
HISP Health Information Service Providers
HIT Health Information Technology
HITPC HIT Policy Committee
HITSC HIT Standards Committee
HL7 Health Level Seven
IG Implementation Guide
LOINC[supreg] Logical Observation Identifiers Names and Codes
ONC Office of the National Coordinator for Health Information
Technology
SNOMED CT[supreg] Systematized Nomenclature of Medicine Clinical
Terms
Table of Contents
I. Executive Summary
A. Purpose of Regulatory Action
B. Summary of Major Provisions
1. Overview of the 2015 Edition Health IT Certification Criteria
2. Base EHR Definition and Certified EHR Technology Definition
3. The ONC Health IT Certification Program and Health IT Module
C. Costs and Benefits
II. Background
A. Statutory Basis
1. Standards, Implementation Specifications, and Certification
Criteria
2. HIT Certification Programs
B. Regulatory History
1. Standards, Implementation Specifications, and Certification
Criteria Rules
2. Medicare and Medicaid EHR Incentive Programs Rules
3. ONC Health IT Certification Programs Rules
III. Provisions of the Proposed Rule Affecting Standards,
Implementation Specifications, Certification Criteria, and
Definitions
A. 2015 Edition Health IT Certification Criteria
1. Applicability
2. Standards and Implementation Specifications
3. Certification Criteria
4. 2015 Edition Gap Certification Eligibility Table
5. Pharmacogenomics Data--Request for Comment
B. Definitions
1. Base EHR Definitions
2. Certified EHR Technology Definition
3. Common Clinical Data Set Definition
4. Cross-Referenced FDA Definitions
IV. Provisions of the Proposed Rule Affecting the ONC Health IT
Certification Program
A. Subpart E--ONC Health IT Certification Program
B. Modifications to the ONC Health IT Certification Program
1. Health IT Modules
2. ``Removal'' of Meaningful Use Measurement Certification
Requirements
3. Types of Care and Practice Settings
4. Referencing the ONC Health IT Certification Program
C. Health IT Module Certification Requirements
1. Privacy and Security
2. Design and Performance (Sec. 170.315(g))
D. Principles of Proper Conduct for ONC-ACBs
1. ``In-the-Field'' Surveillance and Maintenance of
Certification
2. Transparency and Disclosure Requirements
3. Open Data Certified Health IT Product List (CHPL)
4. Records Retention
5. Complaints Reporting
6. Adaptations and Updates of Certified Health IT
E. ``Decertification'' of Health IT--Request for Comment
V. Response to Comments
VI. Incorporation by Reference
VII. Collection of Information Requirements
VIII. Regulatory Impact Statement
A. Statement of Need
B. Overall Impact
1. Executive Orders 12866 and 13563--Regulatory Planning and
Review Analysis
2. Regulatory Flexibility Act
3. Executive Order 13132--Federalism
4. Unfunded Mandates Reform Act of 1995
I. Executive Summary
A. Purpose of Regulatory Action
Building on past rulemakings, this proposed rule further identifies
how health IT certification can support the establishment of an
interoperable nationwide health information infrastructure. It reflects
stakeholder feedback received through various outreach initiatives,
including the regulatory process, and is designed to broadly support
the health care continuum through the use of certified health IT. To
achieve this goal, this rule proposes to:
Improve interoperability for specific purposes by adopting
new and updated vocabulary and content standards for the structured
recording and exchange of health information, including a Common
Clinical Data Set composed primarily of data expressed using adopted
standards; and rigorously testing an identified content exchange
standard (Consolidated Clinical Document Architecture (C-CDA));
Facilitate the accessibility and exchange of data by
including enhanced data portability, transitions of care, and
application programming interface (API) capabilities in the 2015
Edition Base EHR definition;
Establish a framework that makes the ONC Health IT
Certification Program open and accessible to more types of health IT,
health IT that supports a variety of care and practice settings,
various HHS programs, and public and private interests;
Support the Medicare and Medicaid EHR Incentive Programs
(EHR Incentive Programs) through the adoption of a set of certification
criteria that align with proposals for Stage 3;
Address health disparities by providing certification: To
standards for the collection of social, psychological, and behavioral
data; for the exchange of sensitive health information (Data
Segmentation for Privacy); and for the accessibility of health IT;
Ensure all health IT presented for certification possess
the relevant privacy and security capabilities;
Improve patient safety by: Applying enhanced user-center
design principles to health IT, enhancing patient matching, requiring
relevant patient information to be exchanged (e.g., Unique Device
Identifiers), improving the surveillance of certified health IT, and
making more information about certified products publicly available and
accessible;
Increase the reliability and transparency of certified
health IT through surveillance and disclosure requirements; and
Provide health IT developers with more flexibility and
opportunities for certification that support both interoperability and
innovation.
B. Summary of Major Provisions
1. Overview of the 2015 Edition Health IT Certification Criteria
The 2015 Edition health IT certification criteria (``2015
Edition'') would facilitate greater interoperability for several
clinical health information purposes and enable health information
exchange through new and enhanced certification criteria, standards,
and implementation specifications. It incorporates changes that are
designed to spur innovation, open new market opportunities, and provide
more choices to providers when it comes to electronic
[[Page 16806]]
health information exchange. To achieve these goals, we propose a new
``Application Access to Common Clinical Data Set'' certification
criterion that would require the demonstration of an API that responds
to data requests for any one of the data referenced in the Common
Clinical Data Set as well as for all of the data referenced in the
Common Clinical Data Set. To further validate the continued
interoperability of certified health IT and the ability to exchange
health information, we propose a new certification criterion that would
rigorously assess a product's C-CDA creation performance (for both C-
CDA version 1.1 and 2.0) when presented for certification for such
capabilities.
2. Definitions
a. Base EHR Definitions
We propose to adopt a Base EHR definition specific to the 2015
Edition (i.e., a 2015 Edition Base EHR definition) at Sec. 170.102 and
rename the current Base EHR definition at Sec. 170.102 as the 2014
Edition Base EHR definition. For the proposed 2015 Edition Base EHR
definition, it would differ from the 2014 Edition Base EHR definition
in the following ways:
It does not include privacy and security capabilities and
certification criteria. We believe privacy and security capabilities
would be more appropriately addressed through our new proposed approach
for the privacy and security certification of Health IT Modules to the
2015 Edition, as discussed under ``Privacy and Security'' in section
IV.C.1 of the preamble. Our new privacy and security approach would
eliminate eligible professionals (EPs)', eligible hospitals', and
critical access hospitals (CAHs)' responsibilities to ensure that they
have technology certified to all the necessary privacy and security
criteria. Rather, as part of certification, health IT developers would
need to meet applicable privacy and security certification criteria.
It only includes the capability to record and export CQM
data (Sec. 170.315(c)(1)). To note, the capabilities to import,
calculate and report CQM data are not included in the proposed 2015
Edition Base EHR definition or any other CQM-related requirements.
Please refer to the ``Clinical Quality Measures'' section (III.A.3)
later in the preamble for a more detailed discussion of the CQM
certification criteria. Please also see the EHR Incentive Programs
Stage 3 proposed rule published elsewhere in this issue of the Federal
Register for proposals related to CQMs, including the CEHRT definition
proposal.
It includes the 2015 Edition ``smoking status,''
``implantable device list,'' and ``application access to Common
Clinical Data Set'' certification criteria. For a detailed discussion
of these certification criteria, please refer to section III.A.3 of the
preamble.
It includes the proposed 2015 Edition certification
criteria that correspond to the remaining 2014 Edition certification
criteria referenced in the ``2014 Edition'' Base EHR definition (i.e.,
Computerized Provider Order Entry (CPOE), demographics, problem list,
medication list, medication allergy list, clinical decision support
(CDS), transitions of care, data portability, and relevant transport
certification criteria). On the inclusion of transport certification
criteria, we propose to include the ``Direct Project'' criterion (Sec.
170.315(h)(1)) as well as the ``Direct Project, Edge Protocol and XDR/
XDM'' \1\ criterion (Sec. 170.315(h)(2)) as equivalent alternative
means for meeting the 2015 Edition Base EHR definition for the reasons
discussed under ``Transport Methods and Other Protocols'' in section
III.A.3 of the preamble.
---------------------------------------------------------------------------
\1\ XDR stands for Cross-Enterprise Document Reliable
Interchange. XDM stands for Cross-Enterprise Document Media
Interchange.
---------------------------------------------------------------------------
We refer readers to section III.B.1 for a more detailed discussion
of the proposed 2015 Edition Base EHR definition.
b. CEHRT Definition
We propose to remove the Certified EHR Technology (CEHRT)
definition from Sec. 170.102 for the following reasons. The CEHRT
definition has always been defined in a manner that supports the EHR
Incentive Programs. As such, the CEHRT definition would more
appropriately reside solely within the EHR Incentive Programs
regulations. This would also be consistent with our approach in this
proposed rule to make the ONC Health IT Certification Program more open
and accessible to other types of health IT beyond EHR technology and
for health IT that supports care and practice settings beyond those
included in the EHR Incentive Programs. Further, this approach should
add administrative simplicity in that regulatory provisions, which EHR
Incentive Programs participants must meet (e.g., the CEHRT definition),
would be defined within the context of rulemakings for those programs.
We understand that the CEHRT definition proposed by CMS would continue
to include the Base EHR definition(s) defined by ONC, including the
2015 Edition Base EHR definition proposed in this proposed rule. We
also refer readers to Table 2 (``2015 Edition Proposed Certification
Criteria Associated with the EHR Incentive Programs Stage 3'') found in
section III.A.3 of this preamble. Table 2 crosswalks proposed 2015
Edition certification criteria with the proposed CEHRT definition and
proposed EHR Incentive Programs Stage 3 objectives.
c. Common Clinical Data Set
We propose to revise the ``Common MU Data Set'' definition in Sec.
170.102. We propose to change the name to ``Common Clinical Data Set,''
which aligns with our approach throughout this proposed rule to make
the ONC Health IT Certification Program more open and accessible to
other types of health IT beyond EHR technology and for health IT that
supports care and practice settings beyond those included in the EHR
Incentive Programs. We also propose to change references to the
``Common MU Data Set'' in the 2014 Edition (Sec. 170.314) to ``Common
Clinical Data Set.''
We propose to revise the definition to account for the new and
updated standards and code sets we propose to adopt in this proposed
rule that would improve and advance interoperability through the
exchange of the Common Clinical Data Set. We also propose to revise the
definition to support patient safety through clearly referenced data
elements and the inclusion of new patient data. These proposed
revisions would not change the standards, codes sets, and data
requirements specified in the Common Clinical Data Set for 2014 Edition
certification. They would only apply to health IT certified to the 2015
Edition Health IT certification criteria that reference the Common
Clinical Data Set.
3. The ONC Health IT Certification Program and Health IT Module
We propose to change the name of the ONC HIT Certification Program
to the ``ONC Health IT Certification Program'' (referred to as the
``ONC Health IT Certification Program'' throughout this proposed rule).
We also propose to modify the ONC Health IT Certification Program in
ways that would further open access to other types of health IT beyond
EHR technology and for health IT that supports care and practice
settings beyond the ambulatory and inpatient settings. These
modifications would also serve to support other public and private
programs that may reference the use of health IT certified under the
ONC Health IT Certification Program. When we established the
certification
[[Page 16807]]
program (76 FR 1294), we stated our initial focus would be on EHR
technology and supporting the EHR Incentive Programs, which focus on
the ambulatory setting and inpatient setting. Our proposals in this
proposed rule would permit other types of health IT (e.g., laboratory
information systems (LISs)), and technology implemented by health
information service providers (HISPs) and health information exchanges
(HIEs)) to receive appropriate attribution and not be referenced by a
certificate with ``EHR'' in it. Our proposals also support health IT
certification for other care and practice settings such as long-term
post-acute care (LTPAC), behavioral health, and pediatrics. Further,
the proposals in this rule would make it simpler for certification
criteria and certified health IT to be referenced by other HHS programs
(e.g., Medicaid and Medicare payment programs and various grant
programs), other public programs, and private entities and
associations.
As part of our approach to evolve the ONC Health IT Certification
Program, we have replaced prior rulemaking use of ``EHR'' and ``EHR
technology'' with ``health IT.'' The term health IT is reflective of
the scope of ONC's authority under the Public Health Service Act (Sec.
3000(5) as ``health information technology'' is so defined), and
represents a broad range of technology, including EHR technology. It
also more properly represents some of the technology, as noted above,
that has been previously certified to editions of certification
criteria under the ONC Health IT Certification Program and may be
certified to the proposed 2015 Edition in the future. Similarly, to
make the ONC Health IT Certification Program more open and accessible,
we propose to rename the EHR Module as ``Health IT Module'' and will
use this term throughout the proposed rule.
We propose not to require ONC-Authorized Certification Bodies
(ACBs) to certify all Health IT Modules to the 2015 Edition
``meaningful use measurement'' certification criteria (Sec.
170.315(g)(1) ``automated numerator recording'' and Sec. 170.315(g)(2)
``automated measure calculation''). We note that CMS has proposed to
include the 2015 Edition ``meaningful use measurement'' certification
criteria in the CEHRT definition as a unique program requirement for
the EHR Incentive Programs.
We propose a new, simpler, straight-forward approach to privacy and
security certification requirements for Health IT Modules certified to
the 2015 Edition. In essence, we identify the privacy and security
certification criteria that would be applicable to a Health IT Module
presented for certification based on the other capabilities included in
the Health IT Module and for which certification is sought. Under the
proposed approach, a health IT developer would know exactly what it
needed to do in order to get its Health IT Module certified and a
purchaser of a Health IT Module would know exactly what privacy and
security functionality against which the Health IT Module had to be
tested in order to be certified.
We propose new and revised principles of proper conduct (PoPC) for
ONC-ACBs. We propose to require ONC-ACBs to report an expanded set of
information to ONC for inclusion in the open data file that would make
up the Certified Health IT Product List (CHPL). We propose to revise
the PoPC in order to provide for more meaningful disclosure of certain
types of costs and limitations that could interfere with the ability of
users to implement certified health IT in a manner consistent with its
certification. We propose that ONC-ACBs retain records longer and
consistent with industry standards. We propose to require that ONC-ACBs
obtain a record of all adaptations and updates, including changes to
user-facing aspects, made to certified health IT, on a monthly basis
each calendar year. We propose to require that ONC-ACBs report to the
National Coordinator complaints received on certified health IT. We
propose to adopt new requirements for ``in-the-field'' surveillance
under the ONC Health IT Certification Program that would build on ONC-
ACBs' existing surveillance responsibilities by specifying requirements
and procedures for in-the-field surveillance. We believe these proposed
new and revised PoPC would promote greater transparency and
accountability for the ONC Health IT Certification Program. We also
include a request for comment on the potential ``decertification'' of
health IT that proactively blocks the sharing of information.
C. Costs and Benefits
Our estimates indicate that this proposed rule is an economically
significant rule as its overall costs for health IT developers may be
greater than $100 million in at least one year. We have, therefore,
projected the costs and benefits of the proposed rule. The estimated
costs expected to be incurred by health IT developers to develop and
prepare health IT to be tested and certified in accordance with the
2015 Edition health IT certification criteria (and the standards and
implementation specifications they include) are represented in monetary
terms in Table 1 below. We note that this proposed rule does not impose
the costs cited as compliance costs, but rather as investments which
health IT developers voluntarily take on and expect to recover with an
appropriate rate of return.
The dollar amounts expressed in Table 1 are expressed in 2013
dollars.
Table 1--Distributed Total Development and Preparation Costs for Health IT Developers (4-Year Period)--Totals
Rounded
----------------------------------------------------------------------------------------------------------------
Total high Total average
Year Ratio (%) Total low cost cost estimate cost estimate
estimate ($M) ($M) ($M)
----------------------------------------------------------------------------------------------------------------
2015............................................ 25 49.36 101.80 75.58
2016............................................ 30 59.23 122.16 90.70
2017............................................ 30 59.23 122.16 90.70
2018............................................ 15 29.61 61.08 45.35
---------------------------------------------------------------
4-Year Totals............................... .............. 197.43 407.20 302.32
----------------------------------------------------------------------------------------------------------------
We believe that there will be several significant benefits that may
arise from this proposed rule for patients, health care providers, and
health IT developers. The 2015 Edition continues to improve health IT
interoperability through the adoption of new and updated standards and
implementation specifications. For example, many
[[Page 16808]]
proposed certification criteria include standards and implementation
specifications for interoperability that directly support the EHR
Incentive Programs, which include objectives and measures for the
interoperable exchange of health information and for providing patients
electronic access to their health information in structured formats. In
addition, proposed certification criteria that support the collection
of patient data that could be used to address health disparities would
not only benefit patients, but the entire health care delivery system
through improved quality of care. The 2015 Edition also supports
usability and patient safety through new and enhanced certification
requirements for health IT.
Our proposals to make the ONC Health IT Certification Program open
and accessible to more types of health IT and for health IT that
supports a variety of care and practice settings should benefit health
IT developers, providers practicing in other care/practice settings,
and consumers through the availability and use of certified health IT
that includes capabilities that promote interoperability and enhanced
functionality.
II. Background
A. Statutory Basis
The Health Information Technology for Economic and Clinical Health
(HITECH) Act, Title XIII of Division A and Title IV of Division B of
the American Recovery and Reinvestment Act of 2009 (the Recovery Act)
(Pub. L. 111-5), was enacted on February 17, 2009. The HITECH Act
amended the Public Health Service Act (PHSA) and created ``Title XXX--
Health Information Technology and Quality'' (Title XXX) to improve
health care quality, safety, and efficiency through the promotion of
HIT and electronic health information exchange.
1. Standards, Implementation Specifications, and Certification Criteria
The HITECH Act established two new federal advisory committees, the
Health IT Policy Committee (HITPC) and the Health IT Standards
Committee (HITSC) (sections 3002 and 3003 of the PHSA, respectively).
Each is responsible for advising the National Coordinator for Health
Information Technology (National Coordinator) on different aspects of
standards, implementation specifications, and certification criteria.
The HITPC is responsible for, among other duties, recommending
priorities for the development, harmonization, and recognition of
standards, implementation specifications, and certification criteria.
Main responsibilities of the HITSC include recommending standards,
implementation specifications, and certification criteria for adoption
by the Secretary under section 3004 of the PHSA, consistent with the
ONC-coordinated Federal Health IT Strategic Plan.
Section 3004 of the PHSA identifies a process for the adoption of
health IT standards, implementation specifications, and certification
criteria and authorizes the Secretary to adopt such standards,
implementation specifications, and certification criteria. As specified
in section 3004(a)(1), the Secretary is required, in consultation with
representatives of other relevant federal agencies, to jointly review
standards, implementation specifications, and certification criteria
endorsed by the National Coordinator under section 3001(c) and
subsequently determine whether to propose the adoption of any grouping
of such standards, implementation specifications, or certification
criteria. The Secretary is required to publish all determinations in
the Federal Register.
Section 3004(b)(3) of the PHSA titled, Subsequent Standards
Activity, provides that the Secretary shall adopt additional standards,
implementation specifications, and certification criteria as necessary
and consistent with the schedule published by the HITSC. We consider
this provision in the broader context of the HITECH Act to grant the
Secretary the authority and discretion to adopt standards,
implementation specifications, and certification criteria that have
been recommended by the HITSC and endorsed by the National Coordinator,
as well as other appropriate and necessary health IT standards,
implementation specifications, and certification criteria. Throughout
this process, the Secretary intends to continue to seek the insights
and recommendations of the HITSC.
2. Health IT Certification Programs
Section 3001(c)(5) of the PHSA provides the National Coordinator
with the authority to establish a certification program or programs for
the voluntary certification of health IT. Specifically, section
3001(c)(5)(A) specifies that the National Coordinator, in consultation
with the Director of the National Institute of Standards and
Technology, shall keep or recognize a program or programs for the
voluntary certification of health information technology as being in
compliance with applicable certification criteria adopted under this
subtitle (i.e., certification criteria adopted by the Secretary under
section 3004 of the PHSA).
The certification program(s) must also include, as appropriate,
testing of the technology in accordance with section 13201(b) of the
[HITECH] Act. Overall, section 13201(b) of the HITECH Act requires that
with respect to the development of standards and implementation
specifications, the Director of the National Institute of Standards and
Technology (NIST), in coordination with the HITSC, shall support the
establishment of a conformance testing infrastructure, including the
development of technical test beds. The HITECH Act also indicates that
the development of this conformance testing infrastructure may include
a program to accredit independent, non-Federal laboratories to perform
testing.
B. Regulatory History
1. Standards, Implementation Specifications, and Certification Criteria
Rules
The Secretary issued an interim final rule with request for
comments titled, ``Health Information Technology: Initial Set of
Standards, Implementation Specifications, and Certification Criteria
for Electronic Health Record Technology'' (75 FR 2014, Jan. 13, 2010)
(the ``S&CC January 2010 interim final rule''), which adopted an
initial set of standards, implementation specifications, and
certification criteria. After consideration of the public comments
received on the S&CC January 2010 interim final rule, a final rule was
issued to complete the adoption of the initial set of standards,
implementation specifications, and certification criteria and realign
them with the final objectives and measures established for the EHR
Incentive Programs Stage 1 (formally titled: Health Information
Technology: Initial Set of Standards, Implementation Specifications,
and Certification Criteria for Electronic Health Record Technology;
Final Rule, (75 FR 44590, July 28, 2010) and referred to as the ``2011
Edition final rule''). The 2011 Edition final rule also established the
first version of the Certified EHR Technology (CEHRT) definition.
Subsequent to the 2011 Edition final rule (October 13, 2010), we issued
an interim final rule with a request for comment to remove certain
implementation specifications related to public health surveillance
that had been previously adopted in the 2011 Edition final rule (75 FR
62686).
The standards, implementation specifications, and certification
criteria
[[Page 16809]]
adopted by the Secretary in the 2011 Edition final rule established the
capabilities that CEHRT must include in order to, at a minimum, support
the achievement of EHR Incentive Programs Stage 1 by EPs, eligible
hospitals, and CAHs under the EHR Incentive Programs Stage 1 final rule
(the ``EHR Incentive Programs Stage 1 final rule'') (see 75 FR 44314
for more information about meaningful use and the Stage 1
requirements).
The Secretary issued a proposed rule with request for comments
titled ``Health Information Technology: Standards, Implementation
Specifications, and Certification Criteria for Electronic Health Record
Technology, 2014 Edition; Revisions to the Permanent Certification
Program for Health Information Technology'' (77 FR 13832, March 7,
2012) (the ``2014 Edition proposed rule''), which proposed new and
revised standards, implementation specifications, and certification
criteria. After consideration of the public comments received on the
2014 Edition proposed rule, a final rule was issued to adopt the 2014
Edition set of standards, implementation specifications, and
certification criteria and realign them with the final objectives and
measures established for the EHR Incentive Programs Stage 2 as well as
Stage 1 revisions (Health Information Technology: Standards,
Implementation Specifications, and Certification Criteria for
Electronic Health Record Technology, 2014 Edition; Revisions to the
Permanent Certification Program for Health Information Technology (77
FR 54163, Sept. 4, 2012) (the ``2014 Edition final rule''). The
standards, implementation specifications, and certification criteria
adopted by the Secretary in the 2014 Edition final rule established the
capabilities that CEHRT must include in order to, at a minimum, support
the achievement of the EHR Incentive Programs Stage 2 by EPs, eligible
hospitals, and CAHs under the EHR Incentive Programs Stage 2 final rule
(the ``EHR Incentive Programs Stage 2 final rule'') (see 77 FR 53968
for more information about the EHR Incentive Programs Stage 2
requirements).
On December 7, 2012, an interim final rule with a request for
comment was jointly issued and published by ONC and CMS to update
certain standards that had been previously adopted in the 2014 Edition
final rule. The interim final rule also revised the EHR Incentive
Programs by adding an alternative measure for the Stage 2 objective for
hospitals to provide structured electronic laboratory results to
ambulatory providers, corrected the regulation text for the measures
associated with the objective for hospitals to provide patients the
ability to view online, download, and transmit information about a
hospital admission, and made the case number threshold exemption policy
for clinical quality measure (CQM) reporting applicable for eligible
hospitals and CAHs beginning with FY 2013. The rule also provided
notice of CMS's intent to issue technical corrections to the electronic
specifications for CQMs released on October 25, 2012 (77 FR 72985). On
September 4, 2014, a final rule (Medicare and Medicaid Programs;
Modifications to the Medicare and Medicaid Electronic Health Record
(EHR) Incentive Program for 2014 and Other Changes to the EHR Incentive
Program; and Health Information Technology: Revisions to the Certified
EHR Technology Definition and EHR Certification Changes Related to
Standards; Final Rule) (79 FR 52910) was published adopting these
proposals.
On November 4, 2013, the Secretary published an interim final rule
with a request for comment, 2014 Edition Electronic Health Record
Certification Criteria: Revision to the Definition of ``Common
Meaningful Use (MU) Data Set'' (78 FR 65884), to make a minor revision
to the Common MU Data Set definition. This revision was intended to
allow more flexibility with respect to the representation of dental
procedures data for EHR technology testing and certification.
On February 26, 2014, the Secretary published a proposed rule
titled ``Voluntary 2015 Edition Electronic Health Record (EHR)
Certification Criteria; Interoperability Updates and Regulatory
Improvements'' (79 FR 10880) (``Voluntary Edition proposed rule''). The
proposed rule proposed a voluntary edition of certification criteria
that was designed to enhance interoperability, promote innovation, and
incorporate ``bug fixes'' to improve upon the 2014 Edition. A
correction notice was published for the Voluntary Edition proposed rule
on March 19, 2014, entitled ``Voluntary 2015 Edition Electronic Health
Record (EHR) Certification Criteria; Interoperability Updates and
Regulatory Improvements; Correction'' (79 FR 15282). This correction
notice corrected the preamble text and gap certification table for four
certification criteria that were omitted from the list of certification
criteria eligible for gap certification for the 2015 Edition EHR
certification criteria. On September 11, 2014, a final rule was
published titled ``2014 Edition Release 2 Electronic Health Record
(EHR) Certification Criteria and the ONC HIT Certification Program;
Regulatory Flexibilities, Improvements, and Enhanced Health Information
Exchange'' (79 FR 54430) (``2014 Edition Release 2 final rule''). The
final rule adopted a small subset of the original proposals in the
Voluntary Edition proposed rule as optional and revised 2014 Edition
EHR certification criteria that provide flexibility, clarity, and
enhance health information exchange. It also finalized administrative
proposals (i.e., removal of regulatory text from the Code of Federal
Regulations (CFR)) and proposals for the ONC HIT Certification Program
that provide improvements.
On May 23, 2014, CMS and ONC jointly published the ``Medicare and
Medicaid Programs; Modifications to the Medicare and Medicaid
Electronic Health Record Incentive Programs for 2014; and Health
Information Technology: Revisions to the Certified EHR Technology
Definition'' proposed rule (79 FR 29732). The rule proposed to update
the EHR Incentive Programs Stage 2 and Stage 3 participation timeline.
It proposed to revise the CEHRT definition to permit the use of EHR
technology certified to the 2011 Edition to meet the CEHRT definition
for FY/CY 2014. It also proposed to allow EPs, eligible hospitals, and
CAHs that could not fully implement EHR technology certified to the
2014 Edition for an EHR reporting period in 2014 due to delays in the
availability of such technology to continue to use EHR technology
certified to the 2011 Edition or a combination of EHR technology
certified to the 2011 Edition and 2014 Edition for the EHR reporting
periods in CY 2014 and FY 2014. On September 4, 2014, a final rule
(``CEHRT Flexibility final rule'') was published (79 FR 52910) adopting
these proposals.
2. Medicare and Medicaid EHR Incentive Programs Rules
On January 13, 2010, CMS published the EHR Incentive Programs Stage
1 proposed rule (75 FR 1844). The rule proposed the criteria for Stage
1 of the EHR Incentive Programs and regulations associated with the
incentive payments made available under Division B, Title IV of the
HITECH Act. Subsequently, CMS published a final rule (75 FR 44314) for
Stage 1 and the EHR Incentive Programs on July 28, 2010, simultaneously
with the publication of the 2011 Edition final rule. The EHR Incentive
Programs Stage 1 final rule established the objectives, associated
measures, and other requirements that EPs, eligible hospitals, and CAHs
must satisfy to meet Stage 1.
On March 7, 2012, CMS published the EHR Incentive Programs Stage 2
[[Page 16810]]
proposed rule (77 FR 13698). Subsequently, CMS published a final rule
(77 FR 53968) for the EHR Incentive Programs on Sept. 4, 2012,
simultaneously with the publication of the 2014 Edition final rule. The
EHR Incentive Programs Stage 2 final rule established the objectives,
associated measures, and other requirements that EPs, eligible
hospitals, and CAHs must satisfy to meet Stage 2 as well as revised
some Stage 1 requirements.
As described above in Section II.B.1, ONC and CMS jointly issued an
interim final rule with a request for comment that was published on
December 7, 2012 and a final rule that published on September 4, 2014.
Also, as described above in Section II.B.1, ONC and CMS jointly issued
proposed and final rules that were published on May 23, 2014 and
September 4, 2014, respectively.
3. ONC Health IT Certification Program Rules
On March 10, 2010, ONC published a proposed rule (75 FR 11328)
titled, ``Proposed Establishment of Certification Programs for Health
Information Technology'' (the ``Certification Programs proposed
rule''). The rule proposed both a temporary and permanent certification
program for the purposes of testing and certifying HIT. It also
specified the processes the National Coordinator would follow to
authorize organizations to perform the certification of HIT. A final
rule establishing the temporary certification program was published on
June 24, 2010 (75 FR 36158) (``Temporary Certification Program final
rule'') and a final rule establishing the permanent certification
program was published on January 7, 2011 (76 FR 1262) (``the Permanent
Certification Program final rule'').
On May 31, 2011, ONC published a proposed rule (76 FR 31272) titled
``Permanent Certification Program for Health Information Technology;
Revisions to ONC-Approved Accreditor Processes.'' The rule proposed a
process for addressing instances where the ONC-Approved Accreditor
(ONC-AA) engaged in improper conduct or did not perform its
responsibilities under the permanent certification program, addressed
the status of ONC-Authorized Certification Bodies in instances where
there may be a change in the accreditation organization serving as the
ONC-AA, and clarified the responsibilities of the new ONC-AA. All these
proposals were finalized in a final rule published on November 25, 2011
(76 FR 72636).
The 2014 Edition final rule made changes to the permanent
certification program. The final rule adopted a proposal to change the
Permanent Certification Program's name to the ``ONC HIT Certification
Program,'' revised the process for permitting the use of newer versions
of ``minimum standard'' code sets, modified the certification processes
ONC-ACBs need to follow for certifying EHR Modules in a manner that
provides clear implementation direction and compliance with the new
certification criteria, and eliminated the certification requirement
that every EHR Module be certified to all the mandatory ``privacy and
security'' certification criteria.
The Voluntary Edition proposed rule included proposals that focused
on improving regulatory clarity, simplifying the certification of EHR
Modules that are designed for purposes other than meeting Meaningful
Use requirements, and discontinuing the use of the Complete EHR
definition. As noted above, we issued the 2014 Edition Release 2 final
rule to complete the rulemaking for the Voluntary Edition proposed
rule. The 2014 Edition Release 2 final rule discontinued the ``Complete
EHR'' certification concept beginning with the proposed 2015 Edition,
adopted an updated standard (ISO/IEC 17065) for the accreditation of
ONC-ACBs, and adopted the ``ONC Certified HIT'' certification and
design mark for required use by ONC-ACBs under the ONC Health IT
Certification Program.
III. Provisions of the Proposed Rule Affecting Standards,
Implementation Specifications, and Certification Criteria
A. 2015 Edition Health IT Certification Criteria
This rule proposes new, revised, and unchanged certification
criteria that would establish the capabilities and related standards
and implementation specifications for the certification of health IT,
including EHR technology. We refer to these new, revised, and unchanged
certification criteria as the ``2015 Edition health IT certification
criteria'' and propose to add this term and its definition to Sec.
170.102. As noted in the Executive Summary, we also refer to these
criteria as the ``2015 Edition'' in this preamble. We propose to codify
the 2015 Edition in Sec. 170.315 to set them apart from other editions
of certification criteria and make it easier for stakeholders to
quickly determine the certification criteria the 2015 Edition includes.
Health IT certified to these proposed certification criteria and
associated standards and implementation specifications could be
implemented as part of an EP's, eligible hospital's, or CAH's CEHRT and
used to demonstrate meaningful use (as identified in Table 2 below). We
note that Table 2 does not identify certification criteria that are
included in conditional certification requirements, such as privacy and
security, safety-enhanced design, and quality management system
certification criteria. We do, however, classify these types of
certification criteria as ``associated'' with the EHR Incentives
Programs Stage 3 for the purposes of the regulatory impact analysis we
performed for this proposed rule (see section VIII.B.1).
Health IT certified to the proposed certification criteria and
associated standards and implementation specifications could also be
used to meet other HHS program requirements (e.g., grant and contract
requirements) or referenced by private sector associations and
entities.
Table 2--2015 Edition Proposed Certification Criteria Associated With the EHR Incentive Programs Stage 3
----------------------------------------------------------------------------------------------------------------
Relationship to the
proposed CEHRT \2\
Proposed CFR citation Certification Proposed inclusion in 2015 definition and
criterion edition base EHR definition proposed stage 3
objectives
----------------------------------------------------------------------------------------------------------------
Sec. 170.315(a)(1)............... Computerized Provider Included \3\............... Objective 4.
Order Entry (CPOE)--
medications.
Sec. 170.315(a)(2)............... CPOE--laboratory...... Included \4\............... Objective 4.
Sec. 170.315(a)(3)............... CPOE--diagnostic Included \5\............... Objective 4.
imaging.
[[Page 16811]]
Sec. 170.315(a)(4)............... Drug-drug, Drug- Not included............... Objective 3.
allergy Interaction
Checks for CPOE.
Sec. 170.315(a)(5)............... Demographics.......... Included................... No additional
relationship beyond
the Base EHR
definition.
Sec. 170.315(a)(7)............... Problem List.......... Included................... No additional
relationship beyond
the Base EHR
definition.
Sec. 170.315(a)(8)............... Medication List....... Included................... No additional
relationship beyond
the Base EHR
definition.
Sec. 170.315(a)(9)............... Medication Allergy Included................... No additional
List. relationship beyond
the Base EHR
definition.
Sec. 170.315(a)(10).............. Clinical Decision Included................... Objective 3.
Support.
Sec. 170.315(a)(11).............. Drug-formulary and Not included............... Objective 2.
Preferred Drug List
Checks.
Sec. 170.315(a)(12).............. Smoking Status........ Included................... No additional
relationship beyond
the Base EHR
definition.
Sec. 170.315(a)(14).............. Family Health History. Not included............... CEHRT \6\.
Sec. 170.315(a)(15).............. Family Health History-- Not included............... CEHRT \7\.
pedigree.
Sec. 170.315(a)(17).............. Patient-specific Not included............... Objective 5.
Education Resources.
Sec. 170.315(a)(19).............. Patient Health Not included............... CEHRT
Information Capture. Objective 6.
Sec. 170.315(a)(20).............. Implantable Device Included................... No additional
List. relationship beyond
the Base EHR
definition.
Sec. 170.315(b)(1)............... Transitions of Care... Included................... Objective 7.
Sec. 170.315(b)(2)............... Clinical Information Not included............... Objective 7.
Reconciliation and
Incorporation.
Sec. 170.315(b)(3)............... Electronic Prescribing Not included............... Objective 2.
Sec. 170.315(b)(6)............... Data Portability...... Included................... No additional
relationship beyond
the Base EHR
definition.
Sec. 170.315(c)(1) \8\........... Clinical Quality Included................... CEHRT.
Measures--record and
export.
Sec. 170.315(e)(1)............... View, Download, and Not included............... Objective 5
Transmit to Third Objective 6.
Party.
Sec. 170.315(e)(2)............... Secure Messaging...... Not included............... Objective 6.
Sec. 170.315(f)(1)............... Transmission to Not included............... Objective 8.\9\
Immunization
Registries.
Sec. 170.315(f)(2)............... Transmission to Public Not included............... Objective 8.
Health Agencies--
syndromic
surveillance.
Sec. 170.315(f)(3)............... Transmission to Public Not included............... Objective 8.
Health Agencies--
reportable laboratory
tests and values/
results.
Sec. 170.315(f)(4)............... Transmission to Cancer Not included............... Objective 8.
Registries.
Sec. 170.315(f)(5)............... Transmission to Public Not included............... Objective 8.
Health Agencies--case
reporting.
Sec. 170.315(f)(6)............... Transmission to Public Not included............... Objective 8.
Health Agencies--
antimicrobial use and
resistance reporting.
Sec. 170.315(f)(7)............... Transmission to Public Not included............... Objective 8.
Health Agencies--
health care surveys.
Sec. 170.315(g)(1)............... Automated Numerator Not included............... CEHRT.
Recording.
Sec. 170.315(g)(2)............... Automated Measure Not included............... CEHRT.
Calculation.
Sec. 170.315(g)(7)............... Application Access to Included................... Objective 5
Common Clinical Data Objective 6.
Set.
Sec. 170.315(h)(1)............... Direct Project........ Included \10\.............. No additional
relationship beyond
the Base EHR
definition.
Sec. 170.315(h)(2)............... Direct Project, Edge Included \11\.............. No additional
Protocol, and XDR/XDM. relationship beyond
the Base EHR
definition.
----------------------------------------------------------------------------------------------------------------
\2\ CMS' CEHRT definition would include the criteria adopted in the Base EHR definition. For more details on the
CEHRT definition, please see the CMS EHR Incentive Programs proposed rule published elsewhere in this issue of
the Federal Register.
\3\ Technology needs to be certified to Sec. 170.315(a)(1), (a)(2), or (a)(3).
\4\ Technology needs to be certified to Sec. 170.315(a)(1), (a)(2), or (a)(3).
\5\ Technology needs to be certified to Sec. 170.315(a)(1), (a)(2), or (a)(3).
\6\ Technology needs to be certified to Sec. 170.315(a)(14) or (a)(15).
\7\ Technology needs to be certified to Sec. 170.315(a)(14) or (a)(15).
\8\ As discussed in the preamble for the ``clinical quality measures--report'' criterion, additional CQM
certification policy may be proposed in or with CMS payment rules in CY15. As such, additional CQM
certification criteria may be proposed for the Base EHR and/or CEHRT definitions.
\9\ For the public health certification criteria in Sec. 170.315(f), technology would only need to be
certified to those criteria that are required to meet the options the provider intends to report in order to
meet the proposed Objective 8: Public Health and Clinical Data Registry Reporting.
\10\ Technology needs to be certified to Sec. 170.315(h)(1) or (h)(2) to meet the proposed Base EHR
definition.
\11\ Technology needs to be certified to Sec. 170.315(h)(1) or (h)(2) to meet the proposed Base EHR
definition.
[[Page 16812]]
1. Applicability
Section 170.300 establishes the applicability of subpart C--
Certification Criteria for Health Information Technology. We propose to
revise paragraph (d) of Sec. 170.300 to add in a reference to Sec.
170.315 and revise the parenthetical in the paragraph to say ``i.e.,
apply to any health care setting'' instead of ``i.e., apply to both
ambulatory and inpatient settings.'' These proposed revisions would
clarify which specific capabilities within a certification criterion
included in Sec. 170.315 have general applicability (i.e., apply to
any health care setting) or apply only to an inpatient setting or an
ambulatory setting. The proposed revision to change the language of the
parenthetical aligns with our proposed approach to make the ONC Health
IT Certification Program more agnostic to health care settings and
accessible to health IT that supports care and practice settings beyond
the ambulatory and inpatient settings. We refer readers to section IV.B
of this preamble for a detailed discussion of our proposals to modify
the ONC Health IT Certification Program.
We note that, with the proposed 2015 Edition, we no longer label
certification criteria as either optional or ambulatory/inpatient (at
the second paragraph level). For example, the proposed 2015 Edition
certification criterion for electronic medication administration record
is simply ``electronic medication administration record'' instead of
``inpatient setting only--electronic medication administration
record.'' Similarly, the proposed 2015 Edition certification criterion
for ``accounting of disclosures'' is simply ``accounting of
disclosures'' instead of ``optional--accounting of disclosures.'' These
simplifications are possible given that, beginning with the 2015
Edition health IT certification criteria, ``Complete EHR''
certifications will no longer be issued (see 79 FR 54443-45).
Therefore, there is no longer a need to designate an entire
certification criterion in this manner. Again, this approach supports
our goal to make the ONC Health IT Certification Program more agnostic
to health care settings and accessible to health IT that supports care
and practice settings beyond the ambulatory and inpatient settings.
We propose to replace the term ``EHR technology'' in paragraphs
(d)(1) and (d)(2) with ``health IT'' to align with our proposed
approach to make the ONC Health IT Certification Program more clearly
open to the certification of all types of health IT. Again, we refer
readers to section IV.B of this preamble for a detail discussion of our
proposals to modify the ONC Health IT Certification Program.
2. Standards and Implementation Specifications
a. National Technology Transfer and Advancement Act
The National Technology Transfer and Advancement Act (NTTAA) of
1995 (15 U.S.C. Sec. 3701 et. seq.) and the Office of Management and
Budget (OMB) Circular A-119 \12\ require the use of, wherever
practical, technical standards that are developed or adopted by
voluntary consensus standards bodies to carry out policy objectives or
activities, with certain exceptions. The NTTAA and OMB Circular A-119
provide exceptions to selecting only standards developed or adopted by
voluntary consensus standards bodies, namely when doing so would be
inconsistent with applicable law or otherwise impractical. In this
proposed rule, we refer to voluntary consensus standards, except for:
---------------------------------------------------------------------------
\12\ https://www.whitehouse.gov/omb/circulars_a119.
---------------------------------------------------------------------------
The standards adopted in Sec. 170.202. (These standards
were developed by groups of industry stakeholders committed to
advancing the Direct Project,\13\ which included initiatives under the
Standards and Interoperability (S&I) Framework.\14\ These groups used
consensus processes similar to those used by other industry
stakeholders and voluntary consensus standards bodies.);
---------------------------------------------------------------------------
\13\ https://www.healthit.gov/policy-researchers-implementers/direct-project.
\14\ https://www.healthit.gov/policy-researchers-implementers/standards-interoperability-si-framework.
---------------------------------------------------------------------------
The standards we propose to adopt at Sec.
170.205(a)(5)(iii) and (iv) for electronic submission medical
documentation (esMD) (These standards were developed by groups of
industry stakeholders committed to advancing esMD,\15\ which included
initiatives under the Standards and Interoperability (S&I)
Framework.\16\ These groups used consensus processes similar to those
used by other industry stakeholders and voluntary consensus standards
bodies.);
---------------------------------------------------------------------------
\15\ https://wiki.siframework.org/esMD+-+Author+of+Record and
https://wiki.siframework.org/esMD+-+Provider+Profiles+Authentication.
\16\ https://www.healthit.gov/policy-researchers-implementers/standards-interoperability-si-framework.
---------------------------------------------------------------------------
The standards we propose to adopt at Sec. 170.205(d)(4)
and (e)(4) for reporting of syndromic surveillance and immunization
information to public health agencies, respectively (These standards go
through a process similar within the public health community to those
used by other industry stakeholders and voluntary consensus standards
bodies.);
The standard we propose to adopt at Sec. 170.207(f)(2)
for race and ethnicity; and
Certain standards related to the protection of electronic
health information adopted in Sec. 170.210.
We are aware of no voluntary consensus standard that would serve as
an alternative to these standards for the purposes that we have
identified in this proposed rule.
b. Compliance With Adopted Standards and Implementation Specifications
In accordance with Office of the Federal Register regulations
related to ``incorporation by reference,'' 1 CFR part 51, which we
follow when we adopt proposed standards and/or implementation
specifications in any subsequent final rule, the entire standard or
implementation specification document is deemed published in the
Federal Register when incorporated by reference therein with the
approval of the Director of the Federal Register. Once published,
compliance with the standard and implementation specification includes
the entire document unless we specify otherwise. For example, if we
adopted the HL7 Laboratory Orders Interface (LOI) implementation guide
(IG) proposed in this proposed rule, health IT certified to
certification criteria referencing this IG would need to demonstrate
compliance with all mandatory elements and requirements of the IG. If
an element of the IG is optional or permissive in any way, it would
remain that way for testing and certification unless we specified
otherwise in regulation. In such cases, the regulatory text would
preempt the permissiveness of the IG.
c. ``Reasonably Available'' to Interested Parties
The Office of the Federal Register has established new requirements
for materials (e.g., standards and implementation specifications) that
agencies propose to incorporate by reference in the Federal Register
(79 FR 66267; 1 CFR 51.5(a)). To comply with these requirements, in
section VI (``Incorporation by Reference'') of this preamble, we
provide summaries of, and uniform resource locators (URLs) to, the
standards and implementation specifications we propose to adopt and
subsequently incorporate by reference in the Federal Register. To note,
we also provide relevant information about
[[Page 16813]]
these standards and implementation specifications throughout this
section of the preamble (section III), including URLs.
d. ``Minimum Standards'' Code Sets
We propose to adopt newer versions of four previously adopted
minimum standards code sets in this proposed rule for the 2015 Edition.
These code sets are the September 2014 Release of the U.S. Edition of
SNOMED CT[supreg], LOINC[supreg] version 2.50, the February 2, 2015
monthly version of RxNorm, and the February 2, 2015 version of the CVX
code set. We also propose to adopt two new minimum standards code sets
(the National Drug Codes (NDC)--Vaccine Codes, updates through January
15, 2015 and the ``Race & Ethnicity--CDC'' code system in the PHIN
Vocabulary Access and Distribution System (VADS) Release 3.3.9 (June
17, 2011)). As we have previously articulated (77 FR 54170), the
adoption of newer versions improve interoperability and health IT
implementation, while creating little additional burden through the
inclusion of new codes. As many of these minimum standards code sets
are updated frequently throughout the year, we will consider whether it
may be more appropriate to adopt a version of a minimum standards code
set that is issued before we publish a final rule for this proposed
rule. In making such determination, as we have done with these proposed
versions of minimum standards code sets, we will give consideration to
whether it includes any new substantive requirements and its effect on
interoperability. If adopted, a newer version of a minimum standards
code set would serve as the baseline for certification. As with all
adopted minimum standards code sets, health IT can be certified to
newer versions of the adopted baseline version minimum standards code
sets for purposes of certification, unless the Secretary specifically
prohibits the use of a newer version (see Sec. 170.555 and 77 FR
54268).
e. Object Identifiers (OIDs) for Certain Code Systems
We are providing the following table of OIDs for certain code
systems to assist health IT developers in the proper identification and
exchange of health information coded to the vocabulary standards
proposed in this proposed rule.
------------------------------------------------------------------------
Code system OID Code system name
------------------------------------------------------------------------
2.16.840.1.113883.6.96................. IHTSDO SNOMED CT.[supreg]
2.16.840.1.113883.6.1.................. LOINC.[supreg]
2.16.840.1.113883.6.88................. RxNorm.
2.16.840.1.113883.12.292............... HL7 Standard Code Set CVX-
Vaccines Administered.
2.16.840.1.113883.6.69................. National Drug Code Directory.
2.16.840.1.113883.6.8.................. Unified Code of Units of
Measure (UCUM \17\).
2.16.840.1.113883.6.13................. Code on Dental Procedures and
Nomenclature (CDT).
2.16.840.1.113883.6.4.................. International Classification of
Diseases, 10th Revision,
Procedure Coding System (ICD-
10-PCS).
2.16.840.1.113883.6.238................ Race & Ethnicity--Centers for
Disease Control and Prevention
(CDC).
2.16.840.1.113883.6.316................ Tags for Identifying Languages--
Request for Comment (RFC) 5646
(preferred language).
------------------------------------------------------------------------
f. Subpart B--Standards and Implementation Specifications for Health
Information Technology
In Sec. 170.200, we propose to remove term ``EHR Modules'' and add
in its place ``Health IT Modules.'' In Sec. 170.210, we propose to
remove the term ``EHR technology'' and add in its place ``health IT.''
These proposals are consistent with our overall approach to this
rulemaking as discussed in the Executive Summary.
---------------------------------------------------------------------------
\17\ Copyright (copyright) 1998-2013, Regenstrief Institute,
Inc. and the UCUM Organization. All rights reserved.
---------------------------------------------------------------------------
3. Certification Criteria
We discuss the certification criteria that we propose to adopt as
the 2015 Edition below. In a header for each criterion, we specify
where the proposed certification criteria would be included in Sec.
170.315. We discuss each certification criterion in the chronological
order in which it would appear in the CFR. In other words, the preamble
that follows will discuss the proposed certification criteria in Sec.
170.315(a) first, then Sec. 170.315(b), and so on.
We identify the certification criteria as new, revised, or
unchanged in comparison to the 2014 Edition. In the 2014 Edition final
rule we gave meaning to the terms ``new,'' ``revised,'' and
``unchanged'' to both describe the differences between the 2014 Edition
certification criteria and the 2011 Edition certification criteria as
well as establish what certification criteria in the 2014 Edition were
eligible for gap certification (see 77 FR 54171, 54202, and 54248).
Given that beginning with the 2015 Edition ``Complete EHR''
certifications will no longer be issued (see also 79 FR 54443-45) and
that our proposals in this proposed rule to make the ONC Health IT
Certification Program more open and accessible to other health care/
practice settings, we propose to give new meaning to these terms for
the purpose of a gap certification analysis.
``New'' certification criteria are those that as a whole
only include capabilities never referenced in previously adopted
certification criteria editions and to which a Health IT Module
presented for certification to the 2015 Edition could have never
previously been certified. As a counter example, the splitting of a
2014 Edition certification criterion into two criteria as part of the
2015 Edition would not make those certification criteria ``new'' for
the purposes of a gap certification eligibility analysis.
``Revised'' certification criteria are those that include
within them capabilities referenced in a previously adopted edition of
certification criteria as well as changed or additional new
capabilities; and to which a Health IT Module presented for
certification to the 2015 Edition could not have been previously
certified to all of the included capabilities.
``Unchanged'' certification criteria would be
certification criteria that include the same capabilities as compared
to prior certification criteria of adopted editions; and to which a
Health IT Module presented for certification to the 2015 Edition could
have been previously certified to all of the included capabilities.
We explain the proposed certification criteria and provide
accompanying rationale for the proposed certification criteria,
including citing the recommendations of the HITPC and HITSC, where
appropriate. For 2015 Edition health IT certification criteria
[[Page 16814]]
that have been revised in comparison to their 2014 Edition
counterparts, we focus the discussion on any revisions and
clarifications in comparison to the 2014 Edition version of the
criteria. A revised 2015 Edition certification criterion would also
include all the other capabilities that were included in the 2014
Edition version. For example, we propose to adopt a 2015 Edition
``drug-drug, drug-allergy interaction checks for CPOE'' certification
criterion (Sec. 170.315(a)(4)) that is revised in comparison to the
2014 Edition ``drug-drug, drug-allergy interaction checks'' criterion
(Sec. 170.314(a)(2)). We only discuss clarifications (e.g., the
criterion name change) and revisions we propose as part of the 2015
Edition ``drug-drug, drug-allergy interaction checks for CPOE''
certification criterion. However, the 2015 Edition criterion also
includes all the other capabilities of the 2014 Edition ``drug-drug,
drug allergy interaction checks'' criterion. We refer readers to Sec.
170.315 of the proposed regulation text near the end of this document,
which specifies all the capabilities included in each proposed 2015
Edition certification criterion.
We include an appendix (Appendix A) to this proposed rule, which
provides a table with the following data for each proposed 2015 Edition
certification criterion, as applicable: (1) Proposed CFR citation; (2)
estimated development hours; (3) proposed privacy and security
certification requirements (approach 1); \18\ (4) conditional
certification requirements (Sec. 170.550); (5) gap certification
eligibility; (6) proposed inclusion in the 2015 Edition Base EHR
definition; and (7) relationship to proposed Stage 3 of the EHR
Incentive Programs, including the CEHRT definition.
---------------------------------------------------------------------------
\18\ Please see section IV.C.1 (``Privacy and Security'') for a
detailed discussion of approach 1.
---------------------------------------------------------------------------
We propose, and readers should interpret, that the following terms
used in the proposed 2015 Edition have the same meanings we adopted in
the 2014 Edition final rule (77 FR 54168-54169), in response to public
comment: ``user,'' ``record,'' ``change,'' ``access,'' ``incorporate,''
``create,'' and ``transmit,'' but apply to all health IT not just ``EHR
technology.'' For the term ``incorporate,'' we also direct readers to
the additional explanation we provided under the ``transitions of
care'' certification criterion (77 FR 54218) in the 2014 Edition final
rule and in the Voluntary Edition proposed rule (79 FR 10898). We
propose that the scope of a 2015 Edition certification criterion is the
same as the scope previously assigned to a 2014 Edition certification
criterion (for further explanation, see the discussion at 77 FR 54168).
That is, certification to proposed 2015 Edition health IT certification
criteria at Sec. 170.315 would occur at the second paragraph level of
the regulatory section and encompass all paragraph levels below the
second paragraph level. We also propose to continue to use the same
specific descriptions for the different types of ``data summaries''
established in the 2014 Edition final rule (77 FR 54170-54171) for the
proposed 2015 Edition health IT certification criteria (i.e., ``export
summary,'' ``transition of care/referral summary,'' ``ambulatory
summary,'' and ``inpatient summary.'')
As with the adoption of the 2011 and 2014 editions of certification
criteria (see the introductory text to Sec. Sec. 170.302, 170.304,
170.306, and 170.314), all capabilities mentioned in certification
criteria are expected to be performed electronically, unless otherwise
noted. Therefore, we no longer include ``electronically'' in
conjunction with each capability included in a certification criterion
proposed under Sec. 170.315 because the proposed introductory text to
Sec. 170.315 (which covers all the certification criteria included in
the section) clearly states that health IT must be able to
electronically perform the following capabilities in accordance with
all applicable standards and implementation specifications adopted in
the part.
Computerized Provider Order Entry
In the 2014 Edition Release 2 final rule, we adopted separate
computerized provider order entry (CPOE) certification criteria based
on the clinical purpose (i.e., medications, laboratory, and diagnostic
imaging) (79 FR 54435-36). We propose to take the same approach for the
2015 Edition and propose to adopt three certification criteria for
CPOE, as compared to a single criterion that would include combined
functionality for all three clinical purposes (e.g., Sec.
170.314(a)(1)).
We request comment on whether we should specify, for the purposes
of testing and certification to the 2015 Edition CPOE criteria, certain
data elements that a Health IT Module must be able to include in a
transmitted order. In particular, we request comment on whether a
Health IT Module should be able to include any or all of the following
data elements: secondary diagnosis codes; reason for order; and comment
fields entered by the ordering provider, if they are provided to the
ordering provider in their order entry screen. We also request comment
on whether there are any other data elements that a Health IT Module
should be able to include as part of an order for the purposes of
testing and certification. We clarify, however, that any specific data
requirements for a transmitted order that may be adopted in a final
rule would only apply in the absence of a standard for testing and
certification. As discussed below, we propose a laboratory order
standard for the ambulatory setting. If we were to adopt this standard
in a final rule, any potential required data elements for a transmitted
order adopted in response to this proposal would not be made applicable
to the ambulatory setting for the ``CPOE--laboratory'' certification
criterion.
Computerized Provider Order Entry--Medications
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(1) (Computerized provider order entry--medications)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition CPOE certification criterion
specific to medication ordering. This proposed criterion does not
reference any standards or implementation specifications and is
unchanged in comparison to the 2014 Edition CPOE--medications criterion
adopted at Sec. 170.314(a)(18).
Computerized Provider Order Entry--Laboratory
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(2) (Computerized provider order entry--laboratory)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition CPOE certification criterion
specific to laboratory ordering that is revised in comparison to the
CPOE--laboratory criterion adopted at Sec. 170.314(a)(19) as well as
Sec. 170.314(a)(1).
We propose to adopt and include in this criterion, for the
ambulatory setting, the HL7 Version 2.5.1 Implementation Guide: S&I
Framework Laboratory Orders (LOI) from EHR, Draft Standard for Trial
Use, Release 2--US Realm (``Release 2'').\19\ Due to the absence of a
consensus standard for the purpose of sending laboratory orders from
EHRs to laboratories, this standard was developed in conjunction with
laboratories representative of the industry, health IT developers, and
[[Page 16815]]
provider stakeholders through an open consensus-based process under the
Standards and Interoperability Framework (S&I Framework). Release 1 of
the standard was balloted and approved through HL7, a standards
developing organization. Release 2 is currently under ballot
reconciliation with HL7 and should be published in the next few months.
Release 2 would:
---------------------------------------------------------------------------
\19\ https://www.hl7.org/special/committees/projman/searchableprojectindex.cfm?action=edit&ProjectNumber=922 and https://www.hl7.org/participate/onlineballoting.cfm?ref=nav#nonmember.
Access to the current draft of the LOI Release 2 IG is freely
available for review during the public comment period by
establishing an HL7 user account.
---------------------------------------------------------------------------
Implement common formats across US Realm IGs for
consistent reader experience (e.g., sequence of sections, formatting,
layout, and terminology);
Adopt HL7 version 2.8 fields developed to fill gaps
identified in the development of Release 1;
Include harmonized data type ``flavors'' for use across
the US Realm Lab IGs;
Introduce initial requirements for error reporting
conditions and severity (hard/soft errors) and system/application
acknowledgements;
Harmonize data element usage and cardinality requirements
with LOI Release 1, and the electronic Directory of Services (eDOS) IG;
Incorporate US Lab Realm value sets developed for clarity
and consistency across all laboratory IGs; and
Use a new publication method for value sets that allows
for precision usage at point of use and provides ``at a glance''
comprehensive usage at the field and component-level across all
laboratory IGs; and synced with value set activities (HL7, VSAC, etc.).
Overall, we propose to adopt Release 2 of the standard because it
addresses errors and ambiguities found in Release 1 and harmonizes
requirements with other laboratory standards we propose to adopt in
this proposed rule. Release 2 would also make implementation of the LOI
IG clearer and more consistent for health IT developers and
laboratories, as well as improve interoperability. We propose to adopt
Release 2 at Sec. 170.205(l)(1).
Commenters on the Voluntary Edition proposed rule noted that for
optimal interoperability we need to also adopt the most recent version
of the HL7 Version 2.5.1 Implementation Guide: S&I Framework Laboratory
Test Compendium Framework, Release 2, (also referred to as the
``electronic Directory of Services (eDOS) IG''), as it is the companion
IG to the LOI IG. We agree with the commenters' assessment and propose
to include the most recent version of the eDOS IG in this criterion for
certification to all health care settings (i.e., not confining it to
only the ambulatory setting) and adopt it at Sec. 170.205(l)(2). The
most recent version of the eDOS IG will be Release 2, Version 1.2,
which is scheduled to publish in the next few months. Release 2,
Version 1.2 is currently under ballot reconciliation.\20\ In general,
the eDOS IG provides requirements and guidance for the delivery of an
electronic Directory of Services (test compendium) from a laboratory
(compendium producer) to an EHR or other system (compendium consumer)
where it is used to produce electronic orders (LOI-conformant messages)
for laboratory tests. Version 1.2 of the eDOS IG addresses errors and
ambiguities in the prior version as well as harmonizes with Release 2
of the LOI IG.
---------------------------------------------------------------------------
\20\ https://www.hl7.org/participate/onlineballoting.cfm?ref=nav#nonmember. Access to the current draft
of the eDOS IG, Release 2, Version 1.2 is freely available for
review during the public comment period by establishing an HL7 user
account.
---------------------------------------------------------------------------
We also propose, for the purposes of certification, to require a
Health IT Module to be able to use, at a minimum, the version of
Logical Observation Identifiers Names and Codes (LOINC[supreg]) adopted
at Sec. 170.207(c)(3) (version 2.50) as the vocabulary standard for
laboratory orders. This is the most recent version of LOINC[supreg]. We
refer readers to section III.A.2.d (``Minimum Standards'' Code Sets)
for further discussion of our adoption of LOINC[supreg] as a minimum
standards code set and our proposal to adopt version 2.50, or
potentially a newer version if released before a subsequent final rule,
as the baseline for certification to the 2015 Edition.
We note that the LOI Release 2 IG requires the information for a
test requisition as specified in the Clinical Laboratory Improvement
Amendments (CLIA), 42 CFR 493.1241(c)(1) through (c)(8), to be included
in the content message. Therefore, inclusion of this standard for
certification may also facilitate laboratory compliance with CLIA.
Computerized Provider Order Entry--Diagnostic Imaging
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(3) (Computerized provider order entry--diagnostic
imaging)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition CPOE certification criterion
specific to diagnostic imaging. This proposed criterion does not
reference any standards or implementation specifications, and is
unchanged in comparison to the 2014 Edition CPOE--diagnostic imaging
criterion adopted at Sec. 170.314(a)(20). To note, we also propose to
adopt the title of ``diagnostic imaging,'' which is the title we gave
to the 2014 Edition version of this certification criterion in the 2014
Edition Release 2 final rule (79 FR 54436).
Drug-Drug, Drug-Allergy Interaction Checks for CPOE
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(4) (Drug-drug, drug-allergy interaction checks for
CPOE)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``drug-drug, drug-allergy
interaction checks for CPOE'' certification criterion that is revised
in comparison to the 2014 Edition ``drug-drug, drug-allergy interaction
checks'' criterion (Sec. 170.314(a)(2)). We propose to clarify that
the capabilities included in this criterion are focused on CPOE by
including ``for CPOE'' in the title of this criterion.
We also propose to include in this criterion the capabilities to
record user actions for drug-drug, drug-allergy interaction (DD/DAI)
interventions and to enable a user to view the actions taken for DD/DAI
interventions (also referred to as ``checks''). Specifically, we
propose that a Health IT Module must be able to record at least one
action taken and by whom in response to drug-drug or drug-allergy
interaction checks. To be certified to this criterion, a Health IT
Module (at a user's request) must also be able to generate either a
human readable display or human readable report of actions taken and by
whom in response to drug-drug or drug-allergy interaction checks.
We solicited comment in the Voluntary Edition proposed rule on
whether health IT should be able to track (which means ``record'' and
will be referred to as ``record'' throughout this preamble) provider
(referred to as ``user'' for the purposes of this proposed
certification criterion) actions for DD/DAI interventions, including
recording if and when the user viewed, accepted, declined, ignored,
overrode, or otherwise commented on the DD/DAI interventions. We
received comments that supported recording user actions for DD/DAI
interventions (79 FR 54449). We also received comments recommending
that we consider including recording user actions in response to CDS
interventions. We discuss those comments under the CDS certification
criterion in this section (III.A.3) of the preamble.
We believe that recording user actions for DD/DAI interventions
could assist with quality improvement and patient safety. While some
commenters expressed concern that functionality for recording user
actions would be
[[Page 16816]]
burdensome to develop, we believe the potential benefits of improved
care and reduced adverse events that can come from using such
functionality and being able to subsequently analyze user actions for
DD/DAI interventions outweighs the development burden. To provide
health IT developers with flexibility and the opportunity to innovate,
we have explicitly not specified the types of actions a Health IT
Module must be able to record to meet this criterion. Health IT
developers would need to simply demonstrate that their Health IT Module
can record at least one user action for DD/DAI checks. For example, a
Health IT Module could include the capability to record whether the
user viewed, accepted, declined, ignored, overrode, provided a
rationale or explanation for the action taken, took some other type of
action not listed here or otherwise commented on the DD/DAI check. We
solicit comment on whether we should focus this proposed requirement to
record at least one user action taken for DD/DAI interventions on a
subset of DD/DAI interventions, such as those of highest patient safety
concern, and what sources we should consider for defining this subset.
We note, however, that we do not intend with this proposed
requirement to infer a specific workflow or user interface in order to
achieve conformance to this criterion. While appropriate documentation
in accordance with clinical, safety, and system design best practices
for these DD/DAI interventions is beyond the scope of certification for
this criterion, we would encourage health IT developers to consider
these best practices in developing this functionality and attempt to
not interrupt a provider's workflow unnecessarily to meet this
criterion. This criterion also does not propose to establish the uses
for the ``user action'' information, whom should be able to view the
information, or who could adjust the capability. Further, based on
stakeholder feedback, there does not appear to be a consensus method or
standard for characterizing the severity of patient DD/DAI reactions.
Therefore, until the stakeholder community determines if there should
be a set of methods, standards, or clinical guidelines for determining
the severity of a patient DD/DAI reaction, we believe that users should
determine these definitions for their organization and/or setting.
While this proposed certification criterion focuses on DD/DAI
checking at the point when a user enters a computerized order, we
believe that there are instances when a user should be aware of a
patient's DD/DAI when new medications or medication allergies are
entered into the patient record. Therefore, we strongly encourage
health IT developers to build in functionality, including but not
limited to clinical decision support, that would inform a user of new
or updated DD/DAI when the medication or medication allergy lists are
updated. We also seek comment on whether we should include this
functionality in certification and whether this functionality should be
included in an existing certification criterion (e.g., medication list,
medication allergy list, clinical decision support) or a standalone
criterion.
Demographics
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(5) (Demographics)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``demographics'' certification
criterion that is revised as described below in comparison to the 2014
Edition certification criterion (Sec. 170.314(a)(3)).
Sex
We propose that, for certification (and testing) to this criterion,
health IT must be capable of recording sex in accordance with HL7
Version 3 (``AdministrativeGender'') and a nullFlavor value attributed
as follows: male (M); female (F); and unknown (UNK). This proposal
serves as another means of improving interoperability through the use
of consistent standards.
We propose in a later section of this rule that using HL7 Version 3
for recording sex would be required under the ``Common Clinical Data
Set'' definition for certification to the 2015 Edition. Please see
section III.B.3 ``Common Clinical Data Set'' of this preamble for
further discussion of this associated proposal.
Race and Ethnicity
We propose that, for certification (and testing) to this criterion,
a Health IT Module must be capable of recording each one of a patient's
races and ethnicities in accordance with, at a minimum, the ``Race &
Ethnicity--CDC'' code system in the PHIN Vocabulary Access and
Distribution System (VADS), Release 3.3.9.\21\ We also propose that a
Health IT Module must be able to aggregate each one of a patient's
races and ethnicities to the categories in the OMB standard for race
and ethnicity, which we previously adopted for the 2011 Edition and
2014 Edition ``demographics'' certification criteria.
---------------------------------------------------------------------------
\21\ https://phinvads.cdc.gov/vads/ViewCodeSystem.action?id=2.16.840.1.113883.6.238#.
---------------------------------------------------------------------------
As discussed in the 2014 Edition final rule (77 FR 54208), the OMB
standard for the classification of data on race and ethnicity requires
that the option for selecting one or more racial designations be
provided. The standard also permits the use of more than the minimum
standard categories for race and ethnicity, but requires that the data
can be ``rolled up'' or mapped to the minimum standard categories as
well as aggregated. The ``Race & Ethnicity--CDC'' code system in PHIN
VADS (at a minimum, Release 3.3.9) permits a much more granular
structured recording of a patient's race and ethnicity with its
inclusion of over 900 concepts for race and ethnicity. The recording
and exchange of patient race and ethnicity at such a granular level can
facilitate the accurate identification and analysis of health
disparities based on race and ethnicity. Further, the ``Race &
Ethnicity--CDC'' code system has a hierarchy that rolls up to the OMB
minimum categories for race and ethnicity and, thus, supports
aggregation and reporting using the OMB standard. Accordingly, we
propose the adoption and inclusion of both these standards in this
certification criterion as described.
For the purposes of testing and certification to this
``demographics'' criterion, we would test that a Health IT Module can
record each one of a patient's races and ethnicities using any of the
900 plus concepts in the ``Race & Ethnicity--CDC'' code system. We
would not, however, expect the user interface to include a drop-down
menu of all 900 plus ``Race & Ethnicity--CDC'' code system concepts for
race and ethnicity, as we believe doing so could have negative workflow
effects. Rather, we expect that health IT developers and health care
providers would work together to establish the appropriate
implementation given the care setting.
We refer readers to section III.A.2.d (``Minimum Standards'' Code
Sets) for further discussion of our proposal to adopt ``Race &
Ethnicity--CDC'' code system in PHIN VADS as a minimum standards code
set and Release 3.3.9, or potentially a newer version if released
before a subsequent final rule, as the baseline for certification to
the 2015 Edition.
We propose in a later section of this proposed rule that the ``Race
& Ethnicity--CDC'' code system in PHIN VADS (at a minimum, Release
3.3.9) and the OMB standard would become the race and ethnicity
standards under the ``Common Clinical Data Set'' definition for
certification to the 2015
[[Page 16817]]
Edition. Please see section III.B.3 ``Common Clinical Data Set'' of
this preamble for further discussion of this associated proposal.
Preferred Language
Based on specific HITSC recommendations from 2011, we adopted ISO
639-2 constrained by ISO 639-1 for recording preferred language in the
2014 Edition ``demographics'' certification criterion (77 FR
54208).\22\ More specifically, this means that technology is required
to be capable of using the alpha-3 codes of ISO 639-2 to represent the
corresponding alpha-2 code in ISO-639-1. To provide further clarity, we
issued FAQ 27 \23\ in which we stated that where both a bibliographic
code and terminology code are present for a required ISO 639-2
language, technology is expected to be capable of representing the
language in accordance with the (T) terminology codes (ISO 639-2/T) for
the purposes of certification. After we issued FAQ 27, we issued FAQ 43
\24\ in which we acknowledge that our constrained approach to the use
of ISO 639-2 unintentionally excluded multiple languages that are
currently in use, such as sign language and Hmong. Additionally, ISO
639-2 is meant to support written languages, which may not be the
language with which patients instinctively respond when asked for their
preferred language.
---------------------------------------------------------------------------
\22\ https://www.loc.gov/standards/iso639-2/php/code_list.php.
\23\ https://www.healthit.gov/policy-researchers-implementers/27-question-10-12-027.
\24\ https://www.healthit.gov/policy-researchers-implementers/43-question-11-13-043.
---------------------------------------------------------------------------
To improve the situation described above, we propose to adopt the
Internet Engineering Task Force (IETF) Request for Comments (RFC) 5646
\25\ standard for preferred language. RFC 5646 entitled ``Tags for
Identifying Languages, September 2009'' is the coding system that is
commonly used to encode languages on the web and is the most current
RFC for this purpose and listed as a ``best current practice.'' \26\
The first part of the code relies on the shortest ISO-639 code for the
language. That means a 2-character code if the language is specified in
ISO 639-1 or a 3-character code from ISO 639-2 or -3, if the language
is only listed in one of those two ISO standards. We are also aware
that RFC 5646 supports dialects.
---------------------------------------------------------------------------
\25\ https://www.rfc-editor.org/info/rfc5646.
\26\ https://www.rfc-editor.org/info/rfc5646.
---------------------------------------------------------------------------
After consideration of comments we received on the Voluntary
Edition proposed rule (79 FR 54450) and further research, we believe
that RFC 5646 is the most appropriate standard to support preferred
language interoperability. It is our understanding that this standard
is compatible with the C-CDA Release 2.0 and that other preferred
language standards in use today can be efficiently mapped to it, such
as ISO 639-1, 639-2, and 639-3. Therefore, for the purposes of testing
and certification to this ``demographics'' criterion, we would test
that a Health IT Module can record a patient's preferred language using
any of the codes in RFC 5646.
We emphasize that this requirement would apply to a Health IT
Module presented for certification and not health care providers. In
other words, a Health IT Module certified to this criterion would need
to support the recording of preferred language in RFC 5646 and should
in no way be interpreted or imply the way in which health care
providers use the capability to record preferred language or the
preferred language values they are presented with to select a patient's
preferred language. For example, we would not expect the user interface
to include a drop-down menu of all RFC 5646 codes for language, as we
believe doing so could have negative workflow effects. Rather, we
expect that health IT developers and health care providers would work
together to establish the appropriate implementation given the care
setting.
We propose in a later section of this proposed rule that RFC 5646
would also become the preferred language standard under the ``Common
Clinical Data Set'' definition for certification to the 2015 Edition.
Please see section III.B.3 (``Common Clinical Data Set'') of this
preamble for further discussion of this associated proposal.
Preliminary Cause of Death and Date of Death
We propose to include in the 2015 Edition the capability to enable
a user to electronically record, change, and access the ``date of
death'' as a required capability that EHR technology designed for the
inpatient setting must demonstrate. We previously included this
capability as part of the 2011 Edition ``demographics'' certification
criterion and inadvertently omitted it from the 2014 Edition. While we
heard from commenters in response to the Voluntary Edition proposed
rule that they were unaware of any developer removing this capability,
we believe it is appropriate to specifically include this capability in
the 2015 Edition criterion for testing and certification purposes and
to align with the data required by the Meaningful Use criteria of the
EHR Incentive Programs. To note, this functionality would be in
addition to the inclusion in the 2015 Edition ``demographics''
certification criterion of the same capability to enable a user to
electronically record, change, and access ``preliminary cause of
death'' in case of mortality, as is included in the 2014 Edition
``demographics'' certification criterion.
Vital Signs, Body Mass Index (BMI), and Growth Charts
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(6) (Vital signs, body mass index, and growth charts)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``vital signs, BMI, and growth
charts'' certification criterion that is revised in comparison to the
2014 Edition ``vital signs, BMI, and growth charts'' criterion (Sec.
170.314(a)(4)). Specifically, we propose to: 1) Expand the types of
vital signs for recording; 2) require that each type of vital sign have
a specific LOINC[supreg] code attributed to it; 3) that The Unified
Code of Units of Measure, Revision 1.9, October 23, 2013 (``UCUM
Version 1.9'') \27\ be used to record vital sign measurements; and 4)
that certain metadata accompany each vital sign, including date, time,
and measuring- or authoring-type source.
---------------------------------------------------------------------------
\27\ https://unitsofmeasure.org/trac/.
---------------------------------------------------------------------------
Proposed Approach for Vital Signs
In the Voluntary Edition proposed rule (79 FR 10889-10890), we
solicited comment on whether we should require health IT to record
vital signs in standardized vocabularies. We solicited comments on
whether we should require that vital signs be recorded in standardized
vocabularies natively within the health IT system or only during
transmission. We also solicited comment on whether we should require
vital signs be recorded with specific metadata for contextual purposes.
Many commenters recommended that the industry should standardize
how vital signs are represented and collected. To this end, we are
aware that several stakeholder groups are working to define unique,
unambiguous representations/definitions for clinical concepts along
with structured metadata that together provide improved context for the
system to interpret information, including vital signs. This approach
can help increase data standardization at a granular level so that
clinical elements and associated values/findings can be consistently
represented and exchanged. For example, blood pressure is represented
in current systems using a variety of formats, which creates
[[Page 16818]]
significant challenges to aggregate, compare, and exchange data across
systems. This occurs despite the numeric nature of blood pressure,
resulting in costly and time-consuming manual translation to integrate
this data across systems.
Some commenters supported requiring standardized vocabularies for
vital signs during data exchange rather than natively within the health
IT system. While we agree that data should be exchanged in a standard
way, we also believe that the granularity necessary to unambiguously
represent this data should be implemented within health IT systems so
that data is captured with the same level of specificity to enable
consistent and reliable interpretation by other data users and
receivers without requiring mapping. Thus, we propose that health IT
demonstrate it is able to record vital signs data natively as specified
below. Overall, these proposals reflect our interest in ensuring that
the data a user enters into a health IT system is semantically and
syntactically identical to the information coming out of the system and
being exchanged. We believe this would increase the confidence that the
data exchanged is what the provider intended.
The 2014 Edition ``vital signs'' certification criterion requires
health IT to enable a user to electronically record, change, and access
a patient's height/length, weight, and blood pressure. We propose to
include BMI, heart rate, respiratory rate, temperature, oxygen
saturation in arterial blood by pulse oximetry, and mean blood pressure
as we understand that these vital signs are commonly captured or
calculated (i.e., BMI) in the routine course of clinical encounters
across a wide variety of both inpatient and ambulatory settings. We
also propose to further specify that health IT would need to be able to
record diastolic and systolic blood pressure as separate vital signs
rather than ``blood pressure'' (unspecified) as a single vital sign. We
clarify that this list of vital signs is not intended to be
comprehensive. Rather, these listed vital signs indicate our interest
in a more specific approach to recording and exchanging vital signs
data that could promote unambiguous interpretation. These vital sign
concepts derive from the C-CDA standard and the Public Health
Information Network Vocabulary Access and Distribution System value set
for vital sign result types \28\ (2.16.840.1.113883.3.88.12.80.62),
which was developed by the Health IT Standards Panel.\29\ Therefore, we
believe the health care community has experience with collecting these
vital sign concepts because they have been defined for some time as
part of previous collaborative stakeholder work.
---------------------------------------------------------------------------
\28\ https://phinvads.cdc.gov/vads/ViewValueSet.action?oid=2.16.840.1.113883.3.88.12.80.62.
\29\ The Health IT Standards Panel was established in 2005 as a
strategic public-private partnership in contract with the U.S.
Department of Health and Human Services to achieve a widely accepted
and useful set of standards to enable and support widespread
interoperability among healthcare software applications. The Health
IT Standards Panel's contract with HHS concluded on April 30, 2010.
https://www.hitsp.org/.
---------------------------------------------------------------------------
We propose to require that a Health IT Module be able to attribute
a specific LOINC[supreg] code to each type of vital sign using the
following identifiers:
``Systolic blood pressure'' with LOINC[supreg] code 8480-
6;
``Diastolic blood pressure'' with LOINC[supreg] code 8462-
4;
``Body height'' with LOINC[supreg] code 8302-2;
``Body weight measured'' with LOINC[supreg] code 3141-9;
``Heart rate'' with LOINC[supreg] code 8867-4;
``Respiratory rate'' with LOINC[supreg] code 9279-1;
``Body temperature'' with LOINC[supreg] code 8310-5;
``Oxygen saturation in arterial blood by pulse oximetry''
with LOINC[supreg] code 59408-5;
``Body mass index (BMI) [Ratio]'' with LOINC[supreg] code
39156-5; and
``Mean blood pressure'' with LOINC[supreg] code 8478-0.
We understand that the industry is commonly identifying these vital
signs using LOINC[supreg] codes today.
We also propose to require that a Health IT Module enable a user to
record these vital signs with at least the following metadata:
date and time of vital sign measurement or end time of
vital sign measurement with optional certification in accordance with
the clock synchronization standard adopted at Sec. 170.210(g); and
the measuring- or authoring-type source of the vital sign
measurement (such as the user who documented the vital sign or the
medical device that was used to measure the vital sign).
In some cases, the provider documenting the vital sign may record
the date and time of vital sign measurement manually and enter the data
into a health IT system at a later time; therefore, it would not be
necessary to use the clock synchronization standard. However, use of
the clock synchronization standard may be useful for situations where
the vital sign data comes from a device and should be synchronized with
the health IT system.
For ``oxygen saturation in arterial blood by pulse oximetry,'' we
propose that a Health IT Module enable a user to record ``inhaled
oxygen concentration'' with LOINC[supreg] code 3150-0 as metadata
associated with the vital sign. We understand that ``inhaled oxygen
concentration'' is frequently provided to assist with interpretation of
the ``oxygen saturation in arterial blood by pulse oximetry'' value.
For all units of measure associated with a vital sign value, we
propose to require that health IT be able to record an applicable unit
of measure in accordance with UCUM Version 1.9 (e.g., the UCUM unit
``mm[Hg]'' for systolic blood pressure; e.g., the UCUM unit
``[lb_av],'' ``g,'' ``kg,'' or ``[oz_av]'' for body weight). We note
that LOINC provides a translation table \30\ that enumerates the UCUM
syntax for a subset of UCUM codes that are commonly used in health IT
that may be a useful reference for stakeholders.
---------------------------------------------------------------------------
\30\ https://loinc.org/downloads/usage/units.
---------------------------------------------------------------------------
Proposed ``Optional'' Pediatric Vital Signs
We propose to offer optional certification for health IT to be able
to electronically record, change, and access:
Body mass index (BMI) [Percentile] per age and sex (with
LOINC[supreg] code 59576-9) for youth 2-20 years of age; and
Weight for length per age and sex (with LOINC[supreg] code
to be established in a newer version of LOINC[supreg] prior to the
publication of a subsequent final rule) and/or Head occipital-frontal
circumference by tape measure (with LOINC[supreg] code 8287-5) for
infants less than 3 years of age.
We propose to require that a Health IT Module enable each optional
vital sign to be recorded with an applicable unit of measure in
accordance with UCUM Version 1.9. CDC recommends the collection of
these anthropomorphic indices for youth 2-20 years of age and infants
less than 3 years of age, respectively, as part of best care
practices.\31\
---------------------------------------------------------------------------
\31\ https://www.cdc.gov/growthcharts/clinical_charts.htm#Set1
and https://www.cdc.gov/growthcharts/clinical_charts.htm#Set2.
---------------------------------------------------------------------------
A Health IT Module certified to the ``BMI percentile per age and
sex,'' ``weight for length per age and sex,'' or ``head occipital-
frontal circumference by tape measure'' vital signs would also need to
record metadata for the date and time or end time of vital sign
[[Page 16819]]
measurement, the measuring- or authoring-type source of the vital sign
measurement, the patient's date of birth, and the patient's sex in
accordance with the standard we propose to adopt at Sec.
170.207(n)(1). We believe offering optional certification to these
three vital signs can provide value in settings where pediatric and
adolescent patients are provided care.
Request for Comments on Vital Signs Proposal
We intend that the LOINC[supreg] codes proposed for attribution to
the vital signs in the list above are neutral to, and therefore can
encompass, any clinically reasonable method of measurement that is
commonly used in obtaining vital signs in the course of clinical
encounters in a wide variety of contexts, including but not limited to,
primary-care office/clinic visits, emergency department visits, and
routine inpatient admissions processes. For example, this would mean
the system would attribute ``body height'' to LOINC[supreg] code 8302-2
for the measurement of how tall or long the patient is. This
measurement is collected as part of routine vital signs observation
regardless of whether this clinical observation was made by measuring a
standing or supine adult/child, or a supine infant, or by estimating
through clinically reasonable methods the height/length of an adult or
child who cannot be measured in a standing or fully supine position.
Likewise, we propose to attribute a specific LOINC[supreg] code for
body temperature regardless of whether the temperature was measured by
a liquid-filled, digital/electronic, or infrared (non-contact)
thermometer. The choice of UCUM unit code will indicate whether the
measurement was taken in English or metric units. The metadata
describing the source of the measurement would provide the context of
the device that was used to perform the measurement. We reiterate that
the intent behind this ``vital signs'' proposal is to ensure that the
data a user enters into a health IT system is semantically and
syntactically identical to the information coming out of the system and
being exchanged, allowing other users to unambiguously and consistently
interpret the information. We anticipate that stakeholders may want to
expand the list of metadata beyond the date, time, and source of vital
sign measurement. We welcome comment on additional vital sign metadata
that we should consider for inclusion and the best available standards
for representing the metadata (e.g., LOINC[supreg] or a similar
standard).
Health IT users may currently capture vital signs in more granular
LOINC[supreg] codes that specify the method of measurement. We
therefore solicit comment on the feasibility and implementation
considerations for our proposals that rely on less granular
LOINC[supreg] codes for attribution to vital sign measurements and the
inclusion of accompanying metadata. Additionally, we solicit comment on
the following issues:
Support for or against the proposal to require attribution
of vital sign values using specific LOINC[supreg] codes and associated
metadata;
whether our proposal will accomplish the stated goal of
ensuring that the vital signs data a user enters into a health IT
system is semantically and syntactically identical to the information
coming out of the system and being exchanged;
whether the LOINC[supreg] codes proposed above are the
correct ones for representing the vital sign concepts broadly,
including any method of measurement; and
standards for recording the source of the vital sign
measurement.
We also solicit comment on whether we should require a Health IT
Module to be able to record metadata specific to particular vital signs
results/findings. This could provide additional contextual information
(e.g., position for diastolic and systolic blood pressure, whether the
patient is breathing supplemental oxygen, the site of the temperature
such as oral or rectal, pregnancy status for BMI, and whether the vital
sign was measured or self-reported). Because the LOINC[supreg] code
associated with some vital sign concepts we are proposing may include
whether the vital sign was measured or self-reported (e.g., body weight
measured), we also request comment on which specific vital signs should
include metadata on whether it was measured or self-reported. If we
were to require a Health IT Module to be able to record metadata
specific to particular vital signs, we solicit comment on what
additional metadata should be required for certification and what
standards (e.g., LOINC[supreg] or a similar standard) we should
consider for representing that data.
We note, with respect to arterial oxygen saturation, that we are
proposing here the type of measurement that we understand to be
commonly performed as part of vital signs observation across a wide
variety of clinical settings. We are aware that in some clinical
circumstances oxygen saturation in arterial blood by pulse oximetry is
not a sufficiently precise measurement to support sound clinical
decisions. We therefore invite comment as to whether we should consider
defining the arterial blood oxygen saturation vital sign in a more
method-agnostic way, and whether we should also require capture and
exchange of more robust metadata to ensure technology could reliably
identify to clinicians seeking to use the value whether it was measured
by pulse oximetry or a more precise but more invasive and, in most
clinical contexts, less commonly performed arterial blood gas (ABG)
test.
We propose in a later section of this proposed rule that vital
signs be represented in same manner for the ``Common Clinical Data
Set'' definition as it applies to the certification of health IT to the
2015 Edition. Note that the optional portions of the proposed vital
signs criterion would not be required for the ``Common Clinical Data
Set'' (i.e., BMI percentile per age and sex for youth, weight for
length for infants, head occipital-frontal circumference by tape
measure, calculating BMI, and plotting and displaying growth charts.)
Please see section III.B.3 (``Common Clinical Data Set'') of this
preamble for further discussion of this associated proposal.
Problem List
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(7) (Problem list)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``problem list'' certification
criterion that is revised in one way as compared to the 2014 Edition
``problem list'' certification criterion (Sec. 170.314(a)(5)). We
propose to include the September 2014 Release of the U.S. Edition of
SNOMED CT[supreg] in the 2015 Edition ``problem list'' certification
criterion as the baseline version permitted for certification to this
criterion. The 2014 Edition ``problem list'' criterion included the
July 2012 Release of SNOMED CT[supreg] (International Release and the
U.S. Extension) as the baseline version permitted for certification. We
also refer readers to section III.A.2.d (``Minimum Standards'' Code
Sets) for further discussion of our adoption of SNOMED CT[supreg] as a
minimum standards code set and our proposal to adopt the September 2014
Release (U.S. Edition), or potentially a newer version if released
before a subsequent final rule, as the baseline for certification to
the 2015 Edition.
Medication List
[[Page 16820]]
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(8) (Medication list)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``medication list''
certification criterion that is unchanged as compared to the 2014
Edition ``medication list'' certification criterion (Sec.
170.314(a)(6)). To note, this proposed criterion does not reference any
standards or implementation specifications.
Medication Allergy List
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(9) (Medication allergy list)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``medication allergy list''
certification criterion that is unchanged as compared to the 2014
Edition ``medication allergy list'' certification criterion (Sec.
170.314(a)(7)).
We received comments in response to the Voluntary Edition proposed
rule suggesting that a ``medication allergy list'' criterion should
include also other types of allergies and intolerances, such as food
and environmental allergies (79 FR 54451-52). We are aware of a number
of vocabularies and code sets that could support food and environmental
allergies as well as medications, but believe that the industry is
working on identifying ways that multiple vocabularies and code sets
can be used together in an interoperable way to support coding of
allergies. Therefore, at this time, there is no ready solution for
using multiple vocabularies to code allergies that could be adopted for
the purposes of certification.
Clinical Decision Support
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(10) (Clinical decision support)
------------------------------------------------------------------------
Health IT is key component of advanced health models and delivery
system reform. CDS is a primary means of supporting the implementation
of best evidence and new knowledge at the point of care and in real
time (see our definition of ``CDS intervention'' discussed at 77 FR
13847). When effective decision support is presented in a useful
manner, it enhances usability and helps providers and patients avoid
medical errors. Therefore, we believe that clinical decision support is
a crucial feature of certified health IT.
We propose to adopt a 2015 Edition ``clinical decision support''
certification criterion that is revised in comparison to the 2014
Edition ``CDS'' criterion (Sec. 170.314(a)(8)). We propose to adopt
and include an updated ``Infobutton'' \32\ standard and two updated
associated IGs. We propose to require certification only to the
Infobutton standard (and an associated IG) for identifying diagnostic
or therapeutic reference information. We propose to require that a
Health IT Module presented for certification to this criterion be able
to record users' actions in response to CDS interventions. Last, we
have revised the regulation text in comparison to the 2014 Edition CDS
criterion to provide more clarity for certification to this proposed
criterion as well as guidance for certification to the 2014 Edition CDS
criterion.
---------------------------------------------------------------------------
\32\ Infobutton'' is typically the shorthand name used to refer
to the formal standard's name: HL7 Version 3 Standard: Context-Aware
Retrieval Application (Infobutton)
---------------------------------------------------------------------------
Infobutton Standard and IGs
We propose to adopt and include the updated Infobutton standard
(Release 2, June 2014) \33\ in the proposed 2015 Edition CDS criterion.
Infobutton provides a standard mechanism for health IT systems to
request context-specific clinical or health knowledge from online
resources. We propose to adopt and include the HL7 Implementation
Guide: Service-Oriented Architecture Implementations of the Context-
aware Knowledge Retrieval (Infobutton) Domain, Release 1, August 2013
(``SOA Release 1 IG'') \34\ in the CDS criterion. The SOA Release 1 IG
includes additional conformance criteria, redesigns extensions, revises
possible values, and includes support for an additional format for
representing knowledge responses. We also propose to adopt and include
in the proposed 2015 Edition CDS criterion the updated Infobutton URL-
based IG (HL7 Version 3 Implementation Guide: Context-Aware Knowledge
Retrieval (Infobutton), Release 4, June 2014) (``URL-based Release 4
IG'').\35\ The IG provides a standard mechanism for health IT to submit
knowledge requests to knowledge resources over the HTTP protocol using
a standard URL format.
---------------------------------------------------------------------------
\33\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=208.
\34\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=283.
\35\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=22.
---------------------------------------------------------------------------
We propose to adopt the updated Infobutton standard with the SOA
Release 1 IG at Sec. 170.204(b)(3). We propose to adopt the updated
Infobutton standard with the URL-based Release 4 IG at Sec.
170.204(b)(4). We clarify that as proposed, a Health IT Module
presented for certification would need to demonstrate the ability to
electronically identify for a user diagnostic and therapeutic reference
information in accordance with Sec. 170.204(b)(3) or (b)(4) (i.e.,
Infobutton and the SOA Release 1 IG or Infobutton and the URL-based
Release 4 IG).
For certification to the 2014 Edition CDS criterion, we permit a
health IT to be certified if it can electronically identify for a user
diagnostic and therapeutic reference information using the Infobutton
standard or another method (Sec. 170.314(a)(8)(ii)). For the 2015
Edition CDS criterion, we propose to require that a Health IT Module
must be able to identify linked referential CDS information using the
Infobutton standard only, as we believe this is the best consensus-
based standard available to support this use case. We have taken this
approach because certification focuses on the capabilities health IT
can demonstrate (where applicable, according to specific standards) and
not on how it is subsequently used. Thus, with this focus we believe we
can refrain from continuing a regulatory requirement (i.e., requiring
``another method'' for certification) from the 2014 Edition to the 2015
Edition.
For the proposed 2015 Edition ``patient-specific education
resources'' certification criterion discussed later in this section of
the preamble, we propose, for the purposes of certification, to require
that a Health IT Module be able to request patient-specific education
resources based on a patient's preferred language. We believe this
capability would assist providers in addressing and mitigating certain
health disparities. We solicit comment on whether we should require
this functionality as part of the CDS certification criterion for
reference materials identified using the Infobutton standards,
including examples of use cases for which this functionality would be
appropriate. We note that if should require a Health IT Module to be
able to request patient-specific education resources based on a
patient's preferred language as part of the CDS criterion, the
availability of resources in a patient's preferred language depends on
the material supported by the content provider. Therefore, to clarify,
testing and certification would focus on the ability of the Health IT
Module to make the request using a preferred language and Infobutton.
CDS Intervention Response Documentation
We solicited comment in the Voluntary Edition proposed rule on
whether a Health IT Module should be able to record users' responses to
the DD/DAI checks that are performed,
[[Page 16821]]
including if and when the user viewed, accepted, declined, ignored,
overrode, or otherwise commented on the product of a DD/DAI check. We
also received comments recommending we broaden our consideration to
include functionality for recording user responses for all CDS
interventions. We believe that this functionality could be valuable for
all CDS interventions, not solely DD/DAI checks, because it could
assist with enhancing CDS intervention design and implementation,
quality improvement, and patient safety.
As such, we propose that the CDS criterion include functionality at
Sec. 170.315(a)(10)(vi) that would require a Health IT Module to be
able to record at least one action taken and by whom when a CDS
intervention is provided to a user (e.g., whether the user viewed,
accepted, declined, ignored, overrode, provided a rationale or
explanation for the action taken, took some other type of action not
listed here, or otherwise commented on the CDS intervention). We also
propose that a Health IT Module be able to generate either a human
readable display or human readable report of the responses and actions
taken and by whom when a CDS intervention is provided.
We note that we do not believe that a Health IT Module's ability to
record user responses should increase provider burden in order to just
meet this criterion. For example, we would not encourage
implementations that would unnecessarily (e.g., for a non-clinical or
safety-related reason) interrupt a provider's workflow and require the
provider to document the reason just to meet this criterion. Rather, we
encourage health IT developers to leverage current best practices for
presenting, documenting, and facilitating the safest and most
appropriate clinical options in response to CDS interventions.
Clarifying ``Automatically'' and ``Triggered'' Regulatory Text
CDS can include a broad range of decision support interventions and
are not solely limited to alerts. Our 2014 Edition ``CDS'' criterion
uses the terms ``automatically'' and ``triggered'' when referencing
interventions. The use of ``trigger'' and ``automatic'' can be
associated with CDS rules or alerts, but may not encompass all kinds of
CDS interventions. For example, CDS could be seamlessly presented in
the user interface (e.g., a dashboard display) or selected by the user
within the workflow (e.g., Infobutton or documentation flowsheets). The
use of ``automatically'' and ``trigger'' as related to CDS
interventions in the 2014 Edition ``CDS'' caused confusion as to what
types of CDS interventions were permitted. To clarify, our intent is to
encompass all types of CDS interventions without being prescriptive on
how the interventions are deployed (e.g., automatic, triggered,
selected, seamless, or queried). As such, we are not using the terms
``automatically'' and ``trigger'' as related to CDS interventions in
the regulatory text for this 2015 Edition certification criterion.
However, we do not propose to change the regulatory text language in
the 2014 Edition ``CDS'' certification criterion as current testing and
certification under the ONC Health IT Certification Program permits the
other types of interventions we have described above.
2014 Edition ``Clinical Decision Support'' Certification Criterion--
Corrections
We propose to revise the cross-reference in Sec.
170.314(a)(8)(iii)(B)(2) (CDS configuration) to more specifically
cross-reference the 2014 ToC criterion (Sec. 170.314(b)(1)(iii)(B)).
This more specific cross reference aligns with the our other proposed
revision to this criterion, which is to add a cross-reference to Sec.
170.314(b)(9)(ii)(D). We inadvertently omitted the cross-reference to
Sec. 170.314(b)(9)(ii)(D) in the 2014 Edition Release 2 final rule.
These revised cross-references would more clearly indicate that health
IT certified to the 2014 Edition CDS criterion would need to enable CDS
interventions when a patient's medications, medication allergies, and
problems are incorporated from a transition of care/care referral
summary.
Drug Formulary and Preferred Drug List Checks
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(11) (Drug-formulary and preferred drug list checks)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``drug formulary checks and
preferred drug list'' certification criterion that is revised in
comparison to the 2014 Edition ``drug formulary checks'' certification
criterion (Sec. 170.314(a)(10)). We propose a criterion that is split
based on drug formularies and preferred drug lists. For drug
formularies, we propose that a Health IT Module must (1) automatically
check whether a drug formulary exists for a given patient and
medication and (2) receive and incorporate a formulary and benefit file
according to the NCPDP Formulary and Benefit Standard v3.0 (``v3.0'').
We propose to adopt v3.0 at Sec. 170.205(n)(1), but also solicit
comment on more recent versions of the NCPDP Formulary and Benefit
Standard. For preferred drug lists, we propose that a Health IT Module
must automatically check whether a preferred drug list exists for a
given patient and medication. This situation applies where the health
IT system does not use external drug formularies, such as in a hospital
health IT system. We also propose, for both drug formularies and
preferred drug lists, that a Health IT Module be capable of indicating
the last update of a drug formulary or preferred drug list as part of
certification to this criterion. We believe that health IT should
indicate the last update of the drug formulary or preferred drug list
so the provider knows how recently the information was last updated. We
also solicit comment on the best standard for individual-level, real-
time formulary benefit checking to address the patient co-pay use case,
and whether we should offer health IT certification to the standard for
this use case.
As described in more detail in the Voluntary Edition proposed rule
(79 FR 10892), CMS finalized a proposal to recognize NCPDP Formulary
and Benefit Standard v3.0 as a backwards compatible version of NCPDP
Formulary and Benefit Standard 1.0 for the period of July 1, 2014
through February 28, 2015, and to retire version 1.0 and adopt version
3.0 as the official Part D e-Prescribing standard on March 1, 2015 (78
FR 74787-74789). In response to the Voluntary Edition proposed rule, we
received comments supporting adoption of the NCPDP Formulary and
Benefit Standard v3.0 (``v3.0'') for this edition of certification
criteria. Those commenters in support of adopting v3.0 noted the
potential to reduce file sizes, which is beneficial when checking
thousands of drug formularies on a daily basis. We agree with those
commenters that v3.0 is the best available option for standardizing the
implementation of drug-formulary checks in health IT and for its
potential to reduce file sizes. As noted above, the adoption of v3.0
would also align with CMS' adoption of version 3.0 as the official Part
D e-Prescribing standard beginning March 1, 2015.
We are aware that more recent versions of the NCPDP Formulary and
Benefit Standard. Versions 4.0 (``v4.0'') (January 2013), 4.1
(``v4.1'') (October 2013), and 42 (October 2014) (``v42'') \36\ have
been published and are available for industry use. At the time of this
[[Page 16822]]
proposed rule, we understand that the NCPDP is currently developing and
balloting Version 43 (``v43''). Version 4.0 has minor changes compared
to v3.0, including removal of values from an unused diagnosis code,
typographical corrections, and a change to the standard length of the
name field. Version 4.1 removes files to support electronic prior
authorization (ePA) transactions since these have been added to the
NCPDP SCRIPT Standard Implementation Guide v2013011 (January 2013) and
later versions, makes typographical corrections, adds a new coverage
type for ePA routing, and adds an RxNorm qualifier to some data
elements. V42 includes changes to reduce the file size. Stakeholder
feedback has indicated that v4.0, v4.1, and v42 are backwards
compatible with v3.0 for the elements that are the same as compared to
v3.0.
---------------------------------------------------------------------------
\36\ Please note a change to the naming convention to Version 42
and Version 43, as NCPDP accepted a change request to remove the
period in version numbering.
---------------------------------------------------------------------------
We received mixed comments in response to the Voluntary Edition
proposed rule on whether it is more appropriate to adopt v4.0 instead
of v3.0 (79 FR 54454). Some commenters were concerned about known
problems with v3.0 and indicated v4.0 could fix these known problems.
Conversely, other commenters stated that v4.0 was too unstable and new
for an edition of certification criteria that was anticipated to be
adopted and in use in 2014. With these comments in mind, we solicit
comment on whether we should adopt v4.0, v4.1, or v42 of the NCPDP Drug
and Formulary Benefit Standard instead of v.3.0 for the proposed 2015
Edition ``drug formulary checks and preferred drug list'' criterion and
what unintended impacts this could have on the industry given the Part
D requirements.
We believe there is value in certifying that health IT is able to
receive and incorporate a formulary and benefit file in accordance with
the NCPDP Formulary and Benefit Standard v3.0. Systems would be able to
incorporate more updated or complete formulary and benefit files to
inform providers as they make determinations about which medications to
prescribe their patients. We seek to understand the potential system
burden in incorporating formulary and benefit files and, therefore,
seek comment on this issue.
In the Voluntary Edition proposed rule, we noted that the NCPDP
Formulary and Benefit Standard v3.0 did not address individual-level,
real-time formulary benefit checking. Comments in response to the
Voluntary Edition proposed rule noted that the ASC X12 270/271 Health
Care Eligibility Benefit Inquiry and Response standard could perform
individual-level, real-time formulary benefit checking in addition to
the NCPDP Telecommunication Standard. Commenters also noted that e-
prescribing networks could provide this service to customers within
proprietary networks. We are aware of a recently established NCPDP task
group that is defining potential use cases and business requirements
for real-time benefit checking.
We continue to believe in the value of providers and patients
knowing what the patient's cost sharing responsibilities are at the
point of care for a given medication to inform discussions about a
patient's care. Therefore, for this use case, we ask commenters to
identify the best standard(s) for individual-level, real-time (at the
point of care) formulary benefit checking and describe how the standard
addresses this use case. We also solicit comment on whether we should
offer certification for this use case using the appropriate standard
for individual-level, real-time formulary benefit checking and whether
it should be part of the 2015 Edition ``drug formulary and preferred
drug list checks'' certification criterion or a standalone
certification criterion.
Smoking Status
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(12) (Smoking status)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``smoking status'' certification
criterion that is revised in comparison to the 2014 Edition ``smoking
status'' criterion (Sec. 170.314(a)(11)). We propose that a Health IT
Module must be able to record, change, and access smoking status in any
of the available codes for smoking status in, at a minimum, the
September 2014 Release of the U.S. Edition of SNOMED CT[supreg].\37\ We
have taken this more flexible approach because there is no longer a
proposed meaningful use objective and measure associated with this
requirement and, thus, no specific requirement for certain codes to be
used toward numerator calculation.
---------------------------------------------------------------------------
\37\ We refer readers to section III.A.2.d (``Minimum
Standards'' Code Sets) for further discussion of our adoption of
SNOMED CT[supreg] as a minimum standards code set and our proposal
to adopt the September 2014 Release (U.S. Edition), or potentially a
newer version if released before a subsequent final rule, as the
baseline for certification to the 2015 Edition.
---------------------------------------------------------------------------
We note, however, that the 8 smoking status SNOMED CT[supreg] codes
identified in Sec. 170.207(h) \38\ remain the same codes as identified
for the 2014 Edition. They are also the value set included in the
Common Clinical Data Set for the 2015 Edition and the only codes
permitted for representing smoking status for electronic transmission
in a summary care record for the purposes of certification. Therefore,
a Health IT Module certified to certification criteria that reference
the Common Clinical Data Set (i.e., the ToC, data portability, VDT,
Consolidated CDA creation performance, and application access to the
Common Clinical Data Set certification criteria) would need to be able
to code smoking status in only the 8 smoking status codes, which may
mean mapping other smoking status codes to the 8 codes.
---------------------------------------------------------------------------
\38\ These 8 codes are: Current every day smoker, 449868002;
current some day smoker, 428041000124106; former smoker, 8517006;
never smoker, 266919005; smoker--current status unknown, 77176002;
unknown if ever smoked, 266927001; heavy tobacco smoker,
428071000124103; and light tobacco smoker, 428061000124105.
---------------------------------------------------------------------------
We also note that we would not expect the user interface to include
a drop-down menu of all available SNOMED CT[supreg] smoking status
codes, as we believe doing so could have negative workflow effects.
Rather, we expect that health IT developers and health care providers
would work together to establish the appropriate implementation given
the care setting.
We propose to include the 2015 Edition ``smoking status''
certification criterion in the 2015 Edition Base EHR definition. Please
see section III.B.1 of this preamble for further discussion of this
associated proposal.
Image Results
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(13) (Image results)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``image results'' certification
criterion that is unchanged in comparison to the 2014 Edition ``image
results'' criterion (Sec. 170.314(a)(12)).
Family Health History
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(14) (Family health history)
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(15) (Family health history--pedigree)
------------------------------------------------------------------------
We propose to adopt two 2015 Edition ``family health history''
(FHH) certification criteria. Both proposed criteria are revised in
comparison to the 2014 Edition FHH certification criterion (Sec.
170.314(a)(13)). The proposed 2015 Edition FHH certification criterion
at Sec. 170.315(a)(14) would require
[[Page 16823]]
technology to enable a user to record, change, and access a patient's
FHH electronically according to, at a minimum, the concepts or
expressions for familial conditions included in the September 2014
Release of the U.S. Edition of SNOMED CT[supreg]. We refer readers to
section III.A.2.d (``Minimum Standards'' Code Sets) for further
discussion of our adoption of SNOMED CT[supreg] as a minimum standards
code set and our proposal to adopt the September 2014 Release (U.S.
Edition), or potentially a newer version if released before a
subsequent final rule, as the baseline for certification to the 2015
Edition.
The proposed 2015 Edition FHH--pedigree certification criterion at
Sec. 170.315(a)(15) would require technology to enable a user to
create and incorporate a patient's FHH according to HL7 Pedigree
standard and the HL7 Pedigree IG, HL7 Version 3 Implementation Guide:
Family History/Pedigree Interoperability, Release 1.\39\ We believe
that this approach gives the most flexibility to health IT developers
and providers to develop, adopt, and implement technology that supports
their clinical documentation needs, while still enabling
interoperability. For example, some providers may only need technology
that supports FHH coding in SNOMED CT[supreg]. Other providers may also
want technology that supports genomic coding, which HL7 Pedigree can
support. The adoption of two separate criteria can more effectively
support different use cases and clearly identify the capabilities to
which health IT has been certified.
---------------------------------------------------------------------------
\39\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=301.
---------------------------------------------------------------------------
As part of the 2014 Edition final rule, we incorrectly assigned the
HL7 Pedigree standard to Sec. 170.207 where we adopt ``vocabulary''
standards. Accordingly, for the 2015 Edition, we have placed the HL7
Pedigree standard and its IG in Sec. 170.205(m)(1) to more accurately
place it in the ``content'' exchange standards section of the CFR.
Patient List Creation
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(16) (Patient list creation)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``patient list creation''
certification criterion that is unchanged in comparison to the 2014
Edition ``patient list creation'' criterion (Sec. 170.314(a)(14)). We
propose to incorporate our guidance provided in FAQ 39 \40\ into the
2015 Edition ``patient list creation'' criterion. Specifically, the
text of the 2015 Edition ``patient list creation'' certification
criterion provides that a Health IT Module must demonstrate its
capability to use at least one of the more specific data categories
included in the ``demographics'' certification criterion (Sec.
170.315(a)(5)) (e.g., sex or date of birth).
---------------------------------------------------------------------------
\40\ https://www.healthit.gov/policy-researchers-implementers/39-question-04-13-039.
---------------------------------------------------------------------------
Patient-Specific Education Resources
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(17) (Patient-specific education resources)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``patient-specific education
resources'' certification criterion that is revised in comparison to
the 2014 Edition ``patient-specific education resources'' certification
criterion (Sec. 170.314(a)(15)). We propose that certification would
only focus on the use of Infobutton for this certification criterion
instead of Infobutton and any means other than Infobutton as required
by the 2014 Edition criterion. We have reviewed the regulatory burden
posed by the 2014 Edition criterion and determined that there is
diminished value in continuing to frame the 2015 Edition certification
criterion in this way. We continue to believe, however, that the
Infobutton capability is important to be available to providers to have
and use to identify patient-specific education resources.
We propose to adopt the updated Infobutton standard (Release 2 and
the associated updated IGs (SOA-based IG and URL-based IG)). These are
discussed in more detail under the ``CDS'' certification criterion
earlier in this section of the preamble. We also note that we no longer
include a requirement that health IT be capable of electronically
identifying patient-specific education resources based on ``laboratory
values/results.'' We understand from stakeholder feedback on the 2014
Edition version of this criterion and our own research that the
Infobutton standard cannot fully support this level of data
specificity. For example, Infobutton could likely provide something
useful for results that are a concept like ``E.coli,'' but not
necessarily a numerical laboratory result.
We also propose that a Health IT Module be able to request patient-
specific education resources based on a patient's preferred language as
this would assist providers in addressing and mitigating certain health
disparities. More specifically, we propose that a Health IT Module must
be able to request that patient-specific education resources be
identified (using Infobutton) in accordance with RFC 5646. We are
aware, however, that Infobutton only supports a value set of ISO 639-1
for preferred language and, therefore, testing and certification of
preferred language for this certification criterion would not go beyond
the value set of ISO 639-1. To note, we also understand that the
language of patient education resources returned through Infobutton is
dependent on what the source can support. Thus, we reiterate that
testing and certification would focus on the ability of the Health IT
Module to make the request using a preferred language and Infobutton.
Electronic Medication Administration Record
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(18) (Electronic medication administration record)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition electronic medication
administration record (eMAR) certification criterion that is unchanged
in comparison to the 2014 Edition ``eMAR'' criterion (Sec.
170.314(a)(16)).
Patient Health Information Capture
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(19) (Patient health information capture)
------------------------------------------------------------------------
We propose to adopt a new 2015 Edition ``patient health information
capture'' certification criterion that would ``replace'' the 2014
Edition ``advance directives'' certification criterion (Sec.
170.314(a)(17)) for the purposes of certification to the 2015 Edition.
The HITPC recommended, as part of their EHR Incentive Programs Stage 3
recommendations, that we adopt a certification criterion for ``advance
directives'' that would require a Health IT Module to be capable of
storing an advance directive and/or including more information about
the advance directive, such as a link to the advance directive or
instructions regarding where to find the advance directive or more
information about it.\41\ We agree with this recommendation in that
more functionality should be demonstrated for certification as it
relates to advance directives. Further, we believe that the
functionality described by the HITPC can be more broadly applicable
and, thus, have named this certification criterion to reflect
functionality that can be applied to various patient health information
documents. For example,
[[Page 16824]]
we believe such capabilities could be applicable to birth plans as well
as advance directives.
---------------------------------------------------------------------------
\41\ https://www.healthit.gov/facas/sites/faca/files/HITPC_MUWG_Stage3_Recs_2014-04-01.pdf.
---------------------------------------------------------------------------
For certification to this criterion, we propose that a Health IT
Module would need to properly identify health information documents for
users (e.g., label health information documents as advance directives
and birth plans). A Health IT Module would also need to be able to
demonstrate that it could enable a user to record (capture and store)
and access (ability to examine or review) health information documents.
We further propose that a Health IT Module would need to be able to
reference health information documents, which means providing narrative
information on where to locate a specific health information document.
A Health IT Module would also need to demonstrate that it can link to
patient health information documents. ``Linking'' would require a
Health IT Module to demonstrate it could link to an internet site
storing a health information document. While an intranet link to a
health information document might suffice for provider use, a Health IT
Module would still need to demonstrate the ability to link to an
external site via the internet for the purposes of certification.
We also propose that a Health IT Module would be required to
demonstrate that it could enable a user to record and access
information directly and electronically shared by a patient. This could
come from multiple sources, including patient information provided
directly from a mobile device. To note, we have not proposed any
specific standards for this criterion related to receiving and
accepting information directly and electronically shared by a patient.
We clarify that these capabilities may not be applicable to every
patient health information document, but a Health IT Module would need
to be able to perform all of these capabilities electronically for
certification to this criterion.
Implantable Device List
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(20) (Implantable device list)
------------------------------------------------------------------------
We propose to adopt a new 2015 Edition certification criterion
focused on the ability of a Health IT Module to record, change, and
access a list of unique device identifiers (UDIs) \42\ corresponding to
a patient's implantable devices (``implantable device list''), parse
certain data from a UDI, retrieve the ``Device Description'' attribute
associated with a UDI in the Global Unique Device Identification
Database (GUDID), and make accessible to a user both the parsed and
retrieved data. The proposed criterion represents a first step towards
enabling health IT to facilitate the widespread availability and use of
unique device identifiers to prevent device-related adverse events,
enhance clinical decision-making related to devices, improve the
ability of clinicians to respond to device recalls and device-related
safety information, and achieve other important benefits, consistent
with the fundamental aims of the HITECH Act \43\ and the HHS Health IT
Patient Safety Action and Surveillance Plan.\44\
---------------------------------------------------------------------------
\42\ A UDI is a unique numeric or alphanumeric code that
consists of two parts: (1) a device identifier (DI), a mandatory,
fixed portion of a UDI that identifies the labeler and the specific
version or model of a device, and (2) a production identifier (PI),
a conditional, variable portion of a UDI that identifies one or more
of the following when included on the label of a device: the lot or
batch number within which a device was manufactured; the serial
number of a specific device; the expiration date of a specific
device; the date a specific device was manufactured; the distinct
identification code required by 21 CFR 1271.290(c) for a human cell,
tissue, or cellular and tissue-based product (HCT/P) regulated as a
device. https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/UniqueDeviceIdentification/.
\43\ Specifically, the certification criterion supports the
National Coordinator's responsibility under the HITECH Act to ensure
that the nation's health IT infrastructure supports activities that
reduce medical errors, improve health care quality, improve public
health activities, and facilitate the early identification and rapid
response to public health threats and emergencies. 42 U.S.C. 300jj-
11(b)(2) & (7).
\44\ ONC, HHS Health IT Patient Safety Action and Surveillance
Plan (July 2013), https://www.healthit.gov/policy-researchers-implementers/health-it-and-patient-safety (hereinafter ``Health IT
Safety Plan''). The first objective of the Health IT Safety Plan is
to use health IT to make care safer. See id. at 7. The Plan
specifically contemplates that ONC will update its standards and
certification criteria to improve safety-related capabilities and
add new capabilities that enhance patient safety.
---------------------------------------------------------------------------
FDA issued the Unique Device Identification System final rule on
September 24, 2013.\45\ The rule implements a statutory directive to
establish a ``unique device identification system'' for medical devices
that will enable adequate identification of devices through
distribution and use.\46\ It accomplishes this objective by requiring
device labelers (usually the device manufacturer) to include a UDI on
the label and packages of most medical devices subject to FDA
jurisdiction. In addition, for each device with a UDI, the labeler must
submit a standard set of identifying data elements to the FDA-
administered GUDID, which will be publicly accessible.\47\ Full
implementation of the UDI system for devices that are implantable,
life-saving, and life-sustaining is required by September 2015.\48\
---------------------------------------------------------------------------
\45\ 78 FR 58786.
\46\ 21 U.S.C. 360i(f).
\47\ See FDA, Global Unique Device Identification Database
(GUDID) Guidance for Industry and Food and Drug Administration Staff
(June 27, 2014), available at https://www.fda.gov/downloads/MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/UCM369248.pdf.
\48\ Pursuant to 21 U.S.C. 360i(f), FDA must implement the
Unique Device Identification System Final Rule with respect to
devices that are implantable, life-saving, and life sustaining not
later than 2 years after the rule was finalized. Other
implementation and compliance dates are detailed in the final rule.
Compliance dates for UDI implementation will be phased in based on
the existing risk-based classification of medical devices: September
2014 for devices classified by FDA at the highest risk level (Class
III); September 2015 for implantable, life-supporting or life-
sustaining devices; September 2016 for moderate risk (Class II)
devices; and September 2018 for low risk (Class I) devices.
---------------------------------------------------------------------------
We first proposed to adopt a certification criterion for
implantable devices in the Voluntary Edition proposed rule (79 FR
10894). We received a large volume of comments on our proposal, many of
which supported the adoption of a UDI-related certification criterion
focused on implantable device list functionality. Some supporters of
our proposal suggested that we wait to adopt it in our next rulemaking
cycle in order to allow relevant standards and use cases to mature.
Other commenters, mostly health IT developers, suggested that the
proposed criterion would be applicable only to health IT systems
designed for surgical or specific inpatient settings in which devices
are implanted, and therefore suggested that we reduce the scope of the
criterion to those settings.\49\ For the reasons stated in the 2014
Edition Release 2 final rule,\50\ we finalized only a small subset of
the criteria we had originally proposed in the Voluntary Edition
proposed rule. These criteria focused on adding flexibility and making
improvements to the 2014 Edition. Consistent with this reduced scope,
we did not finalize an implantable device list criterion at that time,
stating instead our intention to propose such a criterion in our next
rulemaking that would provide additional detail and clarity, as well as
respond to concerns raised by commenters.
---------------------------------------------------------------------------
\49\ For a detailed summary of the comments we received on our
earlier implantable device list proposal, see the 2014 Edition,
Release 2, final rule (79 FR 54458).
\50\ 79 FR 54458.
---------------------------------------------------------------------------
We continue to believe that incorporating UDIs in health IT is
important and necessary to realize the significant promise of UDIs and
FDA's
[[Page 16825]]
Unique Device Identification System to protect patient safety and
improve health care quality and efficiency. Crucially, recording and
exchanging UDIs in patients' electronic health records would enable
this information to travel with patients as they move among providers
and throughout the health care system. With access to this information
at the point of care, clinicians can accurately identify a patient's
implantable devices and prevent adverse events resulting from
misidentification or non-identification of the device and its
associated safety characteristics (such as MRI compatibility and latex
content). Health IT could also be leveraged in conjunction with
automated identification and data capture (AIDC) or other technologies
to streamline the capture and exchange of UDIs and associated data for
patients' devices. As UDIs become ubiquitous, UDI capabilities in
health IT could facilitate better post-market surveillance of devices,
better and more accurate reporting of device-related events, and more
effective corrective and preventative action in response to device
recalls and alerts.
Fully implementing UDIs will take time and require addressing a
number of challenges. A key challenge is that UDIs may initially be
captured in any of a variety of clinical, inventory, registry, or other
IT systems. Robust adoption and use of UDIs will require bridging these
different components and changing IT and administrative processes to,
among other things, ensure that UDIs are properly captured and
associated with patients' electronic health records.
In December 2014, the Brookings Institution with collaboration from
FDA published a detailed roadmap for effective UDI implementation.\51\
Significantly, the roadmap's recommendations stated that ``while the
path to full implementation is complex, there are relatively
straightforward steps that can be done now'' to begin realizing the
benefits of UDI implementation across the health care system. The
roadmap's recommendations specifically urged ONC to support the
incorporation of UDIs into certification criteria for health IT.
---------------------------------------------------------------------------
\51\ The Brookings Institution, Unique Device Identifiers
(UDIs): A Roadmap for Effective Implementation (December 2014)
(available at https://www.brookings.http://www.brookings.edu/~/media/
research/files/papers/2014/12/
05%20medical%20device%20tracking%20system/udi%20final%2012052014).
---------------------------------------------------------------------------
We agree that a key initial step towards solving these challenges
is incorporating UDIs in certified health IT. We believe now is the
appropriate time to take that first step. Major efforts have been
underway for some time to harmonize and pilot health IT standards and
specifications in support of a variety of UDI use cases, and
substantial progress has been achieved to standardize the electronic
exchange of UDIs.\52\ In addition, FDA plans to implement the GUDID in
early 2015 and require UDIs for all implantable devices by September
2015.\53\ In light of this progress on technical standards and FDA's
timeline for UDI implementation, we believe it is feasible for health
IT developers to begin implementing the baseline functionality
necessary to use and exchange UDIs, and in particular for UDIs
associated with patient's implantable devices. Once implanted, these
devices cannot be inspected with the naked eye and are therefore more
susceptible to misidentification and resulting patient harm.
---------------------------------------------------------------------------
\52\ For example, the Brookings Institution and FDA convened a
UDI Implementation Work Group comprising device manufacturers,
payers, health IT developers, academics, clinicians, and other
stakeholders to explore opportunities and challenges associated with
capturing UDIs in claims, identifying steps for implementation and
integration of UDIs within EHRs and other health care IT
infrastructure, and utilizing UDIs as a tool for improved patient
and provider connectivity. https://www.brookings.edu/about/centers/health/projects/development-and-use-of-medical-devices/udi. The Work
Group held a series of expert workshops and in December 2014
published a detailed roadmap for effective UDI implementation. The
Brookings Institution, Unique Device Identifiers (UDIs): A Roadmap
for Effective Implementation (December 2014) (available at https://www.brookings.http://www.brookings.edu/~/media/research/files/
papers/2014/12/05%20medical%20device%20tracking%20system/
udi%20final%2012052014). Concurrently, the HL7 Technical Steering
Committee has established a UDI Task Force to ensure that UDI is
implemented in a consistent and interoperable manner across the
suite of HL7 standards. See https://hl7tsc.org/wiki/index.php?title=TSC_Minutes_and_Agendas. And through an S&I
Framework Structured Data Capture Initiative, ONC, AHRQ, FDA, and
NLM are collaborating with industry stakeholders to include UDI data
for devices in health IT adverse event reporting. See https://wiki.siframework.org/Structured+Data+Capture+Initiative. AHRQ has
already incorporated UDI and associated data attributes in its
Common Formats for adverse event reporting. See AHRQ Data
Dictionary, Common Formats Hospital Version 1.2, at 87, available at
https://www.psoppc.org/c/document_library/get_file?p_l_id=375680&folderId=431263&name=DLFE-15061.pdf.
\53\ https://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/ucm427496.htm; see also 21 U.S.C. 360i(f).
---------------------------------------------------------------------------
To meet this criterion, a Health IT Module would have to enable a
user to record, change, and access a patient's implantable device list,
which would consist solely of one or more UDIs associated with a
patient's implantable devices. The Health IT Module would also have to
be able to parse the following data elements from a UDI:
Device Identifier;
Batch/lot number;
Expiration date;
Production date; and
Serial number.
In addition to parsing the UDI, a Health IT Module presented for
certification would have to be able to retrieve the optional ``device
description'' data element associated with the Device Identifier in the
GUDID, if the data element has been populated. This could be
accomplished using the GUDID's web interface, web services,
downloadable module, or any other method of retrieval permitted under
FDA's GUDID guidance.
For each UDI in a patient's implantable device list, a Health IT
Module presented for certification would have to enable a user to
access the UDI and the data elements identified above (including the
``device description,'' if it exists). Also, in addition to enabling a
user to record and access UDIs for a patient's implantable devices and
as noted above, a Health IT Module would be required to provide the
capability to change UDIs from a patient's implantable device list in
order to meet this criterion. This functionality would allow a user to
delete erroneous or duplicative entries from a patient's implantable
device list and update the list in the event that a device were removed
from the patient. We seek comment on whether such functionality is
necessary and whether there is a safer or more effective way to
maintain the accuracy of this information.
We believe that, in addition to capturing UDIs, health IT should
facilitate the exchange of UDIs in order to increase the overall
availability and reliability of information about patients' implantable
and other devices. Therefore, we propose in a later section of this
rule to include the 2015 Edition ``implantable device list''
certification criterion in the 2015 Edition Base EHR definition and
propose to include a patient's unique device identifier(s) as data
within the Common Clinical Data Set definition for certification to the
2015 Edition. Please see section III.B of this preamble for further
discussion of these associated proposals.
We have also proposed to modify Sec. 170.102 to include new
definitions for ``Device Identifier,'' ``Implantable Device,'' ``Global
Unique Device Identification Database (GUDID),'' ``Production
Identifier,'' and ``Unique Device Identifier.'' This will prevent any
ambiguity in interpretation and ensure that each term's specific
meaning reflects the same meaning given to them in the Unique Device
Identification System final rule and in 21 CFR 801.3. Capitalization
was purposefully applied
[[Page 16826]]
to each word in these defined phrases in order to signal to readers
that they have specific meanings. Please see section III.B of this
preamble for further discussion of these associated proposals.
In several respects the scope of this proposed implantable device
list criterion is narrower than the criterion we proposed in the
Voluntary Edition proposed rule. We received comments in response to
the Voluntary Edition proposed rule recommending clear standards and
use cases for an ``implantable device list'' criterion. With
consideration of these comments, unlike in the Voluntary Edition
proposed rule, we do not propose that health IT certified to the 2015
Edition ``implantable device list'' criterion be required to exchange
or display contextual information (such as a procedure note) associated
with a UDI because we believe additional standards and use case
development will be needed to support these capabilities. We request
comment on whether we have overlooked the need for or feasibility of
requiring this functionality.
We also do not propose any requirements on health IT to facilitate
the ``capture'' of UDIs at the point of care. As discussed above, UDIs
may initially be captured in any of a variety of clinical and non-
clinical contexts, many of which are beyond the current scope of health
IT certified under the ONC Health IT Certification Program. Prescribing
a requirement for capturing UDIs in certified health IT would also be
complicated by the range of data capture tools permitted under the UDI
final rule, including several different types of AIDC technology.
Moreover, as several commenters pointed out in response to our proposal
in the Voluntary Edition proposed rule, only a subset of certified
health IT users--generally surgeons or other clinicians who perform or
assist with operations involving implantable devices--would have a need
for such data capture functionality, and presumably health IT
developers who specialize in health IT for these settings can develop
appropriate solutions for these users.
Given the scope of our program and the current state of UDI
adoption, we do not believe that it would be useful to address these
``upstream'' issues at this time through rulemaking. Hence our proposal
focuses on: (1) Ensuring that certified health IT can record and
exchange UDIs for implantable devices as part of a patient's core
electronic health record using appropriate standards for
interoperability and exchange so that regardless of how UDIs are
captured, they can be readily integrated with patients' electronic
health records; (2) providing all users of certified health IT with the
ability to access basic information about patients' implantable
devices, thereby promoting greater awareness of and stimulating
additional demand for UDIs and UDI-related capabilities in health IT;
and (3) encouraging health IT developers to begin implementing GUDID
functionality. We believe that focusing on these three areas of
baseline UDI functionality will provide the greatest value to our
stakeholders and efforts to promote adoption of UDIs and realize the
significant benefits of UDIs and FDA's Unique Device Identification
System described in this proposal.
Social, Psychological, and Behavioral Data
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(21) (Social, psychological, and behavioral data)
------------------------------------------------------------------------
We propose a new 2015 Edition ``social, psychological, and
behavioral data'' certification criterion that would require a Health
IT Module to be capable of enabling a user to record, change, and
access a patient's social, psychological, and behavioral data based on
SNOMED CT[supreg] and LOINC[supreg] codes. This would include the
ability to record a patient's decision not to provide the information.
An individual's health is shaped largely by life circumstances that
fall outside the traditional health care system and include social,
psychological, and behavioral factors. These factors include, but are
not limited to, family support systems, stress, housing, nutrition,
income, and education. This proposed certification criterion to further
the collection and use of such patient data is not intended to be
comprehensive; rather, it reflects efforts to further HHS priorities to
transform health delivery, to reduce health disparities, and to achieve
the overarching goals of the National Quality Strategy. In particular,
the proposed certification criterion supports efforts to reduce
disparities and efforts to collect patient social, psychological, and
behavioral data for improved health care, such as by aligning with
recommendations from HHS and the Institute of Medicine.\54\
---------------------------------------------------------------------------
\54\ U.S. Department of Health and Human Services, Office of
Minority Health, 2011, HHS Action Plan to Reduce Racial and Ethnic
Disparities: A Nation Free of Disparities in Health and Health Care
(available at: https://www.minorityhealth.hhs.gov/npa/files/Plans/HHS/HHS_Plan_complete.pdf); U.S. Department of Health and Human
Services, Office of the Assistant Secretary for Planning and
Evaluation, 2011, Implementation Guidance on Data Collection
Standards for Race, Ethnicity, Sex, Primary Language, and Disability
Status (available at: https://aspe.hhs.gov/datacncl/standards/ACA/4302/index.pdf); and Institute of Medicine (IOM), November 2014,
Washington, DC, The National Academies Press, 2014, Capturing Social
and Behavioral Domains and Measures in Electronic Health Records:
Phase 2 (available at: https://iom.edu/Reports/2014/EHRdomains2.aspx).
---------------------------------------------------------------------------
We believe that offering certification that would require a Health
IT Module to enable a user to record, change, and access a patient's
social, psychological, and behavioral data would assist a wide array of
stakeholders (e.g., providers, consumers, payors, community-based
organizations, and state and local governments) in better understanding
how this data may adversely affect health. Ultimately, this can lead to
better health outcomes for these populations through improved patient
care, quality improvement, health equity, and clinical decision support
based on individual factors.
We also believe the self-reporting of information by individuals in
response to the questions included in these social, psychological, and
behavioral measures (i.e., the question and answer sets below) could be
utilized for the EHR Incentive Programs Stage 3 which proposes an
objective on patient engagement, including patient-generated health
data. For more information, please refer to the EHR Incentive Programs
Stage 3 proposed rule published elsewhere in this issue of the Federal
Register.
We have heard from many stakeholders recommending that we
prioritize the use of available measures and instruments for the
structured recording of social, psychological, and behavioral data, and
have followed those recommendations here. The measures (questions and
answers sets below) will have LOINC[supreg] codes (or in the case of
sexual orientation and gender identity, SNOMED CT[supreg] codes for the
answers--but no specific questions) used to identify them. Therefore,
we propose, for certification to this criterion, that social,
psychological, and behavioral data be coded in accordance with, at a
minimum, version 2.50 of LOINC[supreg] as attributed in the table
below.\55\ Please note that some question-answer sets for specific
domains do not currently have a LOINC[supreg] code in place; in these
instances it is expected that LOINC[supreg] codes will be established
in a newer version of LOINC[supreg] prior to the
[[Page 16827]]
publication of a subsequent final rule. Please further note that we
propose to include sexual orientation and gender identity within this
certification criterion as described after this table.
---------------------------------------------------------------------------
\55\ We refer readers to section III.A.2.d (``Minimum
Standards'' Code Sets) for further discussion of our adoption of
LOINC[supreg] as a minimum standards code set and our proposal to
adopt version 2.50, or potentially a newer version if released
before a subsequent final rule, as the baseline for certification to
the 2015 Edition.
----------------------------------------------------------------------------------------------------------------
LOINC[supreg]
Question(s) Answer(s) Codes for question- LOINC[supreg]
Domain [LOINC[supreg] [LOINC[supreg] answer list Answer list ID
name] answer code] combination
----------------------------------------------------------------------------------------------------------------
Financial Resource Strain How hard is it for For example: Very LOINC[supreg] code LOINC[supreg] code
(Overall financial resource you to pay for hard, Somewhat pending. pending.
strain from CARDIA). the very basics hard, Not hard,
like food, at all.\56\
housing, medical
care, and
heating? Would
you say it is . .
.
Education (Educational What is the [0] Never attended/ 63504-5........... LL1069-5.
attainment). highest level of kindergarten only.
school you have [1] 1st grade.....
completed or the [2] 2nd grade.....
highest degree [3] 3rd grade.....
you have [4] 4th grade.....
received? \57\ [5] 5th grade.....
[6] 6th grade.....
[7] 7th grade.....
[8] 8th grade.....
[9] 9th grade.....
[10] 10th grade...
[11] 11th grade...
[12] 12th grade,
no diploma.
[13] High school
graduate.
[14] GED or
equivalent.
[15] Some college,
no degree.
[16] Associate
degree:
occupational,
technical, or
vocational
program.
[17] Associate
degree; academic
program.
[18] Bachelor's
degree (e.g., BA,
AB, BS).
[19] Master's
degree (e.g., MA,
MS, MEng, MEd,
MSW, MBA).
[20] Professional
school degree
(example: MD,
DDS, DVM, JD).
[21] Doctoral
degree (example:
PhD, EdD).
[77] Refused......
[99] Don't know...
Stress (from Elo et al) \58\.... Stress means a For example: LOINC[supreg] code LOINC[supreg] code
situation in Likert scale pending. pending.
which a person ranging from 1--
feels tense, indicating not at
restless, all, 2--a little
nervous, or bit, 3--somewhat,
anxious, or is 4--quite a bit,
unable to sleep to 5--indicating
at night because very much.
his/her mind is
troubled all the
time. Do you feel
this kind of
stress these
days?
Depression (PHQ-2).............. [Patient Health N/A............... 55757-9........... N/A.
Questionnaire 2
item (PHQ-2)
[Reported]].
Little interest or [0] Not at all, 44250-9........... LL358-3.
pleasure in doing [1] Several days,
things in last 2 [2] More than
weeks half the days,
[Reported.PHQ]. [3] Nearly every
day.
Feeling down, [0] Not at all, 44255-8........... LL358-3.
depressed or [1] Several days,
hopeless in last [2] More than
2 weeks half the days,
[Reported.PHQ]. [3] Nearly every
day.
[Patient Health For example: 0-6.. 5578-7............ Answer is in UCUM
Questionnaire 2 units.\59\
item (PHQ-2)
total score
[Reported]].
Physical Activity (Exercise How many days of For example: 68515-6........... Answer is in UCUM
Vital Signs). moderate to 1,2,3,4,5,6,7, units.\60\
strenuous etc.
exercise, like a
brisk walk, did
you do in the
last 7 days?
[SAMHSA].
On those days that For example: 10, 68516-4........... Answer is in UCUM
you engage in 20, etc. units.
moderate to
strenuous
exercise, how
many minutes, on
average, do you
exercise?
[SAMHSA].
Alcohol Use (AUDIT-C)........... [Alcohol Use N/A............... 72109-2........... N/A.
Disorder
Identification
Test--Consumption
[AUDIT-C].
[[Page 16828]]
How often do you [a] Never......... 68518-0........... LL2179-1.
have a drink [b] Monthly or
containing less.
alcohol? [SAMHSA]. [c] 2-4 times a
month.
[d] 2-3 times a
week.
[e] 4 or more
times a week.
How many standard [a] 1 or 2........ 68519-8........... LL2180-9.
drinks containing [b] 3 or 4........
alcohol do you [c] 5 or 6........
have on a typical [d] 7 to 9........
day? [SAMHSA]. [e] 10 or more....
How often do you [a] Never......... 68520-6........... LL2181-7.
have six or more [b] Less than
drinks on one monthly.
occasion? [c] Monthly.......
[SAMHSA]. [d] Weekly........
[e] Daily or
almost daily.
[Total score N/A \61\.......... .................. N/A.
[AUDIT-C]].
Social Connection and Isolation Are you married or For example, these LOINC[supreg] code LOINC[supreg] code
(NHANES III). living together categories form pending. pending.
with someone in a an ordinal scale
partnership at assessing the
the time of number of types
questioning? of social
In a typical week, relationships on
how many times do which a person is
you talk on the connected and not
telephone with isolated, and has
family, friends, standard scoring.
or neighbors?. Individuals
How often do you receive one point
get together with for each of the
friends or following: Being
relatives?. married or living
How often do you together with
attend church or someone in a
religious partnership at
services?. the time of
How often do you questioning,
attend meetings averaging three
of the clubs or or more social
organizations you interactions per
belong to?. week (assessed
with questions
one and two,
above), reporting
attending church
or other
religious
services more
than four times
per year
(assessed with
question three,
above), and
reporting that
they belong to a
club or
organization
(assess with
question four,
above). A score
of 0 represents
the highest level
of social
isolation and a
score of 4
represents the
lowest level of
social isolation.
\62\
Exposure to violence: Intimate Within the last Pending........... LOINC[supreg] code LOINC[supreg] code
partner violence (HARK 4Q). year, have you pending. pending.
been humiliated
or emotionally
abused in other
ways by your
partner or ex-
partner?
Within the last ..................
year, have you
been afraid of
your partner or
ex-partner?
Within the last ..................
year, have you
been raped or
forced to have
any kind of
sexual activity
by your partner
or ex-partner?
Within the last ..................
year, have you
been kicked, hit,
slapped, or
otherwise
physically hurt
by your partner
or ex-partner?
----------------------------------------------------------------------------------------------------------------
We propose to require that a Health IT Module enable a user to
record, change, and access a patient's sexual orientation and gender
identity as part of this certification criterion. We propose that
sexual orientation be coded in accordance with, at a minimum, the
September 2014 Release of the U.S. Edition of SNOMED CT[supreg] \63\
and HL7 Version 3 attributed as follows:
---------------------------------------------------------------------------
\56\ The answer is then scored from a scale of 1 (very hard) to
3 (not at all), and unknown answers are scored as a negative number.
\57\ LOINC[supreg] Component used for the table.
\58\ Elo, A.-L., A. Lepp[auml]nen, and A. Jahkola. 2003.
Validity of a single-item measure of stress symptoms. Scandanavian
Journal of Work, Environment & Health 29(6):444-451.
\59\ Note that LOINC[supreg] provides a translation table at
https://loinc.org/downloads/usage/units that enumerates the UCUM
syntax for a subset of UCUM codes that are commonly used in health
IT that may be a useful reference for stakeholders.
\60\ Note that LOINC[supreg] provides a translation table at
https://loinc.org/downloads/usage/units that enumerates the UCUM
syntax for a subset of UCUM codes that are commonly used in health
IT that may be a useful reference for stakeholders.
\61\ The Alcohol Use Disorders Identification Test C (AUDIT-C)
is scored on a scale of 0 to 12. Each of the three AUDIT-C questions
has 5 answer choices with points ranging from 0 to 4. A screen is
considered positive for unhealthy alcohol use or hazardous drinking
if the AUDIT-C score is 4 or more points for men or 3 or more points
for women.
\62\ Pantell et al., 2013.
[[Page 16829]]
------------------------------------------------------------------------
Sexual orientation Code
------------------------------------------------------------------------
Homosexual................................ SNOMED CT[supreg] 38628009.
Heterosexual.............................. SNOMED CT[supreg] 20430005.
Bisexual.................................. SNOMED CT[supreg] 42035005.
Other..................................... HL7 V3
nullFlavor OTH.
Asked but unknown......................... HL7 V3
nullFlavor ASKU.
Unknown................................... HL7 V3
nullFlavor UNK.
------------------------------------------------------------------------
We propose that gender identity be coded in accordance with, at a
minimum, the September 2014 Release of the U.S. Edition of SNOMED
CT[supreg] \64\ and HL7 Version 3 attributed as follows:
---------------------------------------------------------------------------
\63\ We refer readers to section III.A.2.d (``Minimum
Standards'' Code Sets) for further discussion of our adoption of
SNOMED CT[supreg] as a minimum standards code set and our proposal
to adopt the September 2014 Release (U.S. Edition), or potentially a
newer version if released before a subsequent final rule, as the
baseline for certification to the 2015 Edition.
\64\ We refer readers to section III.A.2.d (``Minimum
Standards'' Code Sets) for further discussion of our adoption of
SNOMED CT[supreg] as a minimum standards code set and our proposal
to adopt the September 2014 Release (U.S. Edition), or potentially a
newer version if released before a subsequent final rule, as the
baseline for certification to the 2015 Edition.
------------------------------------------------------------------------
Gender identity Code
------------------------------------------------------------------------
Identifies as male gender................. SNOMED CT[supreg]
446151000124109.*
Identifies as female gender............... SNOMED CT[supreg]
446141000124107.*
Female-to-male transsexual................ SNOMED CT[supreg] 407377005.
Male-to-female transsexual................ SNOMED CT[supreg] 407376001.
Identifies as non-conforming gender....... SNOMED CT[supreg]
446131000124102.*
Other..................................... HL7 V3
nullFlavor OTH.
Asked but unknown......................... HL7 V3
nullFlavor ASKU
------------------------------------------------------------------------
* These new concepts will appear in the March 2015 release of the U.S.
Edition of SNOMED CT[supreg] and are now viewable at https://uscrs.nlm.nih.gov/main.xhtml.
We note that the functionality under consideration to record the
data discussed above has no bearing on whether a patient chooses to
provide this information or whether a health care provider chooses to
record the information or would be required to do so through the EHR
Incentive Programs or other programs. However, we believe the
structured recording of these types of data as described is the best
available method for reliably capturing and maintaining accurate
reflections of this information. For this proposed certification
criterion, we seek comment on whether:
The appropriate measures have been included for the listed
social, psychological, and behavioral data;
There should be standardized questions associated with the
collection of sexual orientation and gender identity data (and if so,
what vocabulary standard would be best suited for coded these
standardized questions);
We should set a minimum number of data measures for
certification (e.g., at a minimum: One, 3, or all); and
These measures should be part of one certification
criterion or separate certification criteria. We note that our proposal
for an ``Open Data Certified Health IT Products List,'' as discussed in
section IV.D.3 of this preamble, would result in more granular
identification of certified health IT. Specific to this criterion, the
CHPL would include information regarding each of the data measures
(e.g., education, depression, and sexual orientation) that were
certified as part of a Health IT Module's certification to this
criterion.
Work Information--Industry/Occupation Data
The Institute of Medicine identified patients' work information as
valuable data that could be recorded by health IT and used by both
health care providers and public health agencies.\65\ Similarly, the
2012 HHS Environmental Justice Strategy and Implementation Plan echoed
the potential benefits of having work information in EHR
technology.\66\ The combination of industry and occupation (I/O)
information provides opportunities for health care providers to improve
patient health outcomes--for health issues wholly or partially caused
by work and for health conditions whose management is affected by work.
For example, ``Usual'' (longest-held) I/O information can be key for
health care improvement and population-based health investigations, and
is already a required data element for cancer reporting.\67\ Health
care providers also can use current I/O information to assess symptoms
in the context of work activities and environments, inform patients of
risks, obtain information to assist in return-to-work determinations,
and evaluate the health and informational needs of groups of patients.
---------------------------------------------------------------------------
\65\ IOM (Institute of Medicine). 2011. ``Incorporating
Occupational Information in Electronic Health Records: A Letter
Report''. Available at: https://www.nap.edu/catalog.php?record_id=13207.
\66\ U.S. Department of Health and Human Services. February,
2012. 2012 HHS Environmental Justice Strategy and Implementation
Plan. Available at: https://www.hhs.gov/environmentaljustice/strategy.html.
\67\ CDC (2) (Centers for Disease Control and Prevention). 2012.
Implementation Guide for Ambulatory Healthcare Provider Reporting to
Central Cancer Registries, HL7 Clinical Document Architecture (CDA)
Release 1.0, August 2012. Available at: https://www.cdc.gov/phin/library/guides/Implementation_Guide_for_Ambulatory_Healthcare_Provider_Reporting_to_Central_Cancer_Registries_August_2012.pdf.
---------------------------------------------------------------------------
Since publication of the Voluntary Edition proposed rule (79 FR
10924) in which we requested comment on I/O information for the
purposes of certification, we have considered health IT developer
feedback on the need to adopt consensus standards for capturing I/O
information in health IT and continue to work with the National
Institute for Occupational Health and Safety (NIOSH) to explore avenues
to record I/O data in health IT. NIOSH also continues to work with
various industry stakeholders and health IT developers to assess the
incorporation of patient I/O fields into commercial EHRs, develop
occupationally related CDS, and to investigate practices and systems to
achieve accurate, automated coding of I/O information. Given the value
of I/O information as noted above and the progress being made by NIOSH
and others, we are making a refined request for comments as part of a
future edition of certification criteria. We invite commenters to
consider what additional support might be needed for health IT
developers, implementers, and users to effectively include a
certification criterion that would require health IT to enable a user
to record, change, and access (all electronically) the following data
elements in structured format:
Patients' employment status and primary activities (e.g.,
volunteer work);
Patients' current I/O, linked to one another and with
time-stamp, including start date;
Patients' usual I/O, linked to one another and with time-
stamp, including start year and duration in years; and
Patients' history of occupation with a time and date stamp
for when the history was collected (to note, this is focused on the
capability to record a history, not a requirement that a history must
be recorded or that a patient history be recorded for a certain
historical period of time).
We solicit public comment on the experience health IT developers
and health care providers have had in recording, coding, and using I/O
data. This would include any innovation that is making I/O data more
useful for providers.
To better understand the health care needs associated with work
data, we specifically solicit public comment from health care
providers, provider
[[Page 16830]]
organizations, and patients on the following:
The usefulness for providers to be able to access current
and usual I/O and related data in the EHR, including whether additional
data elements, such as work schedule, are useful.
The usefulness of a history of positions provided as
current I/O, with data from each position time-stamped, linked,
retained, and accessible as part of the longitudinal patient care
(medical) record.
Narrative text (vs. codes) for both current and usual I/O.
CDC_Census codes for both current and usual I/O; available
through PHIN VADS at https://phinvads.cdc.gov/vads/SearchVocab.action.
SNOMED CT[supreg] codes for occupation (current codes or
potentially developed codes).
Other standards and codes that may be in use by the health
IT industry for both current and usual I/O.
U.S. Uniformed/Military Service Data
In the Voluntary Edition proposed rule (79 FR 10924), we outlined
rationale for a potential certification criterion that would assess the
capability of health IT to enable a user to record, change, and access
U.S. military service or all uniformed service (including commissioned
officers of the U.S. Public Health Service (USPHS) and the National
Oceanographic and Atmospheric Administration (NOAA) as they too are
eligible for military health services, veterans benefits, and related
services). We reiterate the rationale here as we continue to believe it
is persuasive for adopting such a certification criterion. In recent
years, U.S. Military service members have been returning from service
in Iraq and Afghanistan and other various combat duty stations. A
portion of these service members are returning with traumatic brain
injuries, major limb injuries, and diagnoses of post-traumatic stress
disorder as reported by the Department of Defense and Department of
Veterans Affairs. We believe recording U.S. uniformed/military service
information can have many benefits. It can help in identifying
epidemiological risks for patients such as those noted above. It can
assist in ensuring that a patient receives all the health care benefits
he or she is entitled to by alerting medical professionals to the
patient's service history, which can facilitate the coordination of
benefits. This information can also increase the ability to assemble a
longitudinal record of care for a U.S. service member, such as by
requesting or merging of a patient's electronic health record stored by
the Department of Defense, Veteran's Health Administration, and/or
another health care provider.
In response to the request for comment on a ``U.S. uniformed/
military service'' certification criterion in the Voluntary Edition
proposed rule, commenters indicated that vocabulary standards for
capturing such history may not be mature enough yet. Specifically,
commenters noted that SNOMED CT [supreg] currently has relevant codes,
such as ``history relating to military service,'' and ``duration of
military service,'' but not codes to cover all potential military
service statuses, capture military service in an unambiguous way (e.g.,
capturing current employed as well as history of military service) and
military service in foreign locales. To improve coding of military and
all uniformed history, we believe a promising path forward would be to
add codes to the U.S. Extension of SNOMED-CT [supreg]. Therefore, we
request comment on the following:
Whether a potential certification criterion should be
focused solely on U.S. military service or all uniformed service
members (e.g., commissioned officers of the USPHS and NOAA);
Whether the U.S. Extension of SNOMED-CT [supreg] is the
most appropriate vocabulary code set or whether other vocabulary code
sets may be appropriate; and
The concepts/values we should use to capture U.S. military
service or all uniformed service status. We ask commenters to consider
the work of NIOSH on I/O information as it relates to capturing
military service.
Other Social, Psychological, and Behavioral Data
We seek comment on whether there are additional social,
psychological, and behavioral data that we should include for
certification as well as the best available standards for representing
such data.
Decision Support--Knowledge Artifact
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(22) (Decision support--knowledge artifact)
------------------------------------------------------------------------
We propose a new ``decision support--knowledge artifact''
certification criterion in the 2015 Edition for technology to
electronically send and receive clinical decision support knowledge
artifacts in accordance with a Health eDecisions (HeD) standard.
A previous ONC-sponsored S&I initiative, HeD, defined two use cases
(UC) with the goals of expressing CDS interventions in a standardized
format for sharing (UC 1) and requesting/receiving knowledge artifacts
from a CDS service provider (UC 2). We discuss UC 2 further in the
proposal for a 2015 Edition ``decision support--service'' certification
criterion in this section of the preamble. HeD UC 1 defined the
functional requirements needed to build a standard schema for the
contents of three ``CDS Knowledge Artifact'' \68\ types: event
condition action (ECA) rules, order sets, and documentation
templates.\69\ UC 1 was based on the scenario of a ``CDS Knowledge
Artifact supplier'' making a computable CDS Knowledge Artifact
available to a ``CDS Artifact integrator.'' For example, in accordance
with the HeD standard, health IT could automatically integrate
medication order sets based on best practice clinical guidelines in a
machine-readable format without the need for human interpretation.
---------------------------------------------------------------------------
\68\ A CDS Knowledge Artifact is the encoding of structured CDS
content as a rule to support clinical decision making in many areas
of the health care system, including quality and utilization
measures, disease outbreaks, comparative effectiveness analysis,
efficacy of drug treatments, and monitoring health trends.
\69\ HL7 Implementation Guide: Clinical Decision Support
Knowledge Artifact Implementation Guide, Release 1 (January 2013)
(``HeD standard'').
---------------------------------------------------------------------------
In the Voluntary Edition proposed rule, we proposed to adopt the
HL7 Implementation Guide: Clinical Decision Support Knowledge Artifact
Implementation Guide, Release 1 (January 2013) (``HeD standard'').\70\
We stated that the HeD standard would greatly assist the industry in
producing and sharing machine-readable files for representations of
clinical guidance. We did not adopt the HeD standard as we agreed with
commenters that more clarity is needed regarding the HeD proposals (79
FR 54453).
---------------------------------------------------------------------------
\70\ https://wiki.siframework.org/file/detail/implementation_guide_working_final_042413_lse_uploaded-1.docx.
---------------------------------------------------------------------------
As the HeD initiative has completed, a new S&I initiative has
launched, the Clinical Quality Framework (CQF), which builds on the HeD
work and expands the scope to harmonize both CDS and electronic
clinical quality measurement (eCQM) standards. The CQF initiative has
created an updated and more modular HeD implementation guide for
sharing CDS artifacts, HL7 Version 3 Standard: Clinical Decision
Support Knowledge Artifact Specification, Release 1.2 DSTU (July
2014).\71\ The modularity allows for portions of the HeD standard
Release 1.2 to be updated without requiring updates
[[Page 16831]]
to the entire standard. As the CQF work continues, this more recent
standard will be leveraged heavily to produce a harmonized clinical
quality expression language for both CDS and eCQMs.
---------------------------------------------------------------------------
\71\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=337.
---------------------------------------------------------------------------
We continue to believe that the HeD standard would greatly assist
the industry in producing and sharing machine readable files for
representations of clinical guidance. We therefore propose to adopt the
HL7 Version 3 Standard: Clinical Decision Support Knowledge Artifact
Specification, Release 1.2 DSTU (July 2014) (``HeD standard Release
1.2'') at Sec. 170.204(d)(1) and offer testing and certification for
health IT demonstrate it can electronically send and receive a CDS
artifact formatted in the HeD standard Release 1.2.
We solicited comment in the Voluntary Edition proposed rule on what
we should test and certify to when it comes to testing and
certification for acceptance and incorporation of CDS Knowledge
Artifacts (79 FR 54453). Commenters suggested that we focus testing on
a few types of CDS Knowledge Artifacts, but not on all possible types
included in the HeD standard. We note that HHS is developing publicly
available CDS interventions in HL7 draft standard formats,\72\
including the HeD standard Release 1.2, that will be available at
www.ushik.org. We welcome comment on specific types of CDS Knowledge
Artifacts on which we should focus testing and certification to the HeD
standard Release 1.2. We also invite comments on versions of standards
we should consider as alternative options, or for future versions of
this certification criterion, given the ongoing work to harmonize CDS
and quality measurement standards as discussed under the ``CQM--record
and export'' certification criterion later in this section of the
preamble.
---------------------------------------------------------------------------
\72\ This site may also include CDS interventions formatted to
the Quality Improvement and Clinical Knowledge Model (QUICK)
standard which we discuss in the preamble for the ``Clinical quality
measures--record and export'' certification criterion.
---------------------------------------------------------------------------
Decision Support--Service
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(a)(23) (Decision support--service)
------------------------------------------------------------------------
We propose a new ``decision support--service'' certification
criterion in the 2015 Edition for technology to electronically make an
information request with patient data and receive in return electronic
clinical guidance in accordance with the standard in accordance with an
HeD standard.
A previous ONC-sponsored S&I initiative, HeD, defined two use cases
(UC) with the goals of expressing CDS interventions in a standardized
format for sharing (HeD UC 1) and requesting/receiving knowledge
artifacts from a CDS service provider (HeD UC 2). We discuss HeD UC 1
further in the proposal for a 2015 Edition ``decision support--
knowledge artifact'' certification criterion above. HeD UC 2 defines
the interface requirements needed to send patient data and receive CDS
guidance based on one scenario: a request for clinical guidance made to
a CDS guidance supplier. The HeD S&I initiative considered the
following interactions with a CDS guidance supplier: Drug dosing
calculation; immunization forecasting; disease management; quality
measure evaluation; transition of care support; test appropriateness
scores (e.g., radiology tests); prediction rule evaluation (e.g.,
APACHE score, AHRQ Pneumonia Severity Index); and severity of illness
assessment (e.g., Charlson Index). The HeD initiative created the HL7
Implementation Guide: Decision Support Service, Release 1--US Realm
DSTU (January 2014) (``Decision Support Service IG''),\73\ which
defines SOAP and REST web service interfaces for CDS guidance services.
---------------------------------------------------------------------------
\73\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=334.
---------------------------------------------------------------------------
We proposed to adopt the Decision Support Service IG in the
Voluntary Edition proposed rule because the implementation of this IG
would promote systems whereby a health care provider can send a query
about a patient to a CDS guidance supplier and receive CDS guidance
back in near real-time. Although we received general support for
adopting the Decision Support Service IG, we did not adopt it because
the 2014 Edition Release 2 final rule focused on the adoption and
revision of a small number of 2014 Edition certification criteria that
add flexibility and make improvements to the existing set of 2014
Edition certification criteria.
We are aware of a more recent release of the Decision Support
Service IG, HL7 Implementation Guide: Decision Support Service, Release
1.1 (March 2014), US Realm DSTU Specification (``Release 1.1'').\74\
Release 1.1 utilizes the latest available version of the HL7 Virtual
Medical Record specification. Given the general support we received in
the Voluntary Edition proposed rule, we propose to adopt the HL7
Implementation Guide: Decision Support Service, Release 1.1 (March
2014), US Realm DSTU Specification at Sec. 170.204(e)(1) and offer
testing and certification for health IT to demonstrate the ability to
send and receive electronic clinical guidance according to the
interface requirements defined in Release 1.1. We also invite comments
on versions of standards we could consider as alternative options, or
for future versions of this certification criterion, given the ongoing
work to harmonize CDS and quality measurement standards as discussed
under the ``CQM--record and export'' certification criterion later in
this section of the preamble.
---------------------------------------------------------------------------
\74\ https://www.hl7.org/documentcenter/public/standards/dstu/HL7_DSS_IG%20_R1_1_2014MAR.zip.
---------------------------------------------------------------------------
Transitions of Care
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(b)(1) (Transitions of care)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition certification criterion for
``transitions of care'' (ToC) that is a continuation and extension of
the ToC certification criterion adopted as part of the 2014 Edition
Release 2 final rule at Sec. 170.314(b)(8). This proposed criterion
also reflects the corresponding structural and clarifying changes that
we adopted in the 2014 Edition Release 2 final rule that correspond to
``clinical information reconciliation and incorporation'' certification
criterion also adopted as part of the 2014 Edition final rule.
Accordingly, the 2015 Edition ToC certification criterion we
propose to adopt would include many of the same capabilities adopted at
Sec. 170.314(b)(8) with the exception of the following revisions and
additions.
Updated C-CDA Standard
As expressed in the 2014 Edition final rule, the C-CDA standard is
now the single standard permitted for certification and the
representation of summary care records. It is also referenced in other
proposed 2015 Edition certification criteria. Industry stakeholders
have continued to work to improve and refine the C-CDA standard since
the 2014 Edition final rule, including publishing additional guidance
for its consistent implementation.\75\ An updated version, HL7
Implementation Guide for CDA[supreg] Release 2: Consolidated CDA
Templates for Clinical Notes (US Realm), Draft
[[Page 16832]]
Standard for Trial Use, Release 2.0,\76\ which was balloted through
2014, includes the following changes, which we believe provide
important clarifications and enhancements:
---------------------------------------------------------------------------
\75\ https://wiki.siframework.org/Companion+Guide+to+Consolidated+CDA+for+MU2.
\76\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=379. Access to the IG is freely
available for review during the public comment period by
establishing an HL7 user account.
---------------------------------------------------------------------------
Addition of new structural elements: new document sections
and data entry templates:
[cir] New Document Templates for: Care Plan; Referral Note;
Transfer Summary.
[cir] New Sections for: Goals; Health Concerns; Health Status
Evaluation/Outcomes; Mental Status; Nutrition; Physical Findings of
Skin.
[cir] New organizers and many new entries (e.g. Wound Observation).
Some sections/entries were deprecated (i.e., should no
longer be used).
Updates to (versioning of) template/section/entry object
identifiers (OIDs).
[cir] This includes a new chapter describing HL7's approach to
template versioning.
Tighter data constraints/requirements.
[cir] For example, some data elements with a ``MAY'' requirement
now have a ``SHOULD'' requirement. Likewise, some with a ``SHOULD''
requirement now have a ``MUST'' requirement.
Updated Vocabulary/Value Set constraints.
[cir] For example: two SNOMED CT [supreg] codes were added to the
Current Smoking Status value set and the Tobacco Use value set to
support the 2014 Edition vocabulary requirements for patient smoking
status.
[cir] NLM's Value Set Authority Center (VSAC) was named as
reference for Value Sets used in C-CDA.
In the Voluntary Edition proposed rule, we proposed to adopt the C-
CDA Release 2.0 standard and reference its use in the other
certification criteria in which this standard would have also been
applicable. At the time of that proposal, the C-CDA Release 2.0 had not
yet completed its balloting cycle within HL7 and stakeholder comments
on the Voluntary Edition proposed rule expressed concern related to the
C-CDA Release 2.0 standard's stability. Given that the C-CDA Release
2.0 has completed balloting and is now published as the next C-CDA
version, we believe that the continued attention it received through
HL7 balloting has resulted in a standard that is the best available for
adoption in this proposed rule and for future implementation in the
coming years. Thus, we propose to adopt C-CDA Release 2.0 at Sec.
170.205(a)(4) as part of this certification criterion. We note that
compliance with the C-CDA Release 2 cannot include the use of the
``unstructured document'' document-level template for certification to
this criterion.
To address a technical implementation challenge sometimes referred
to as ``bilateral asynchronous cutover,'' (which is meant to convey the
complexity of continued interoperability among exchange partners as
each upgrades their health IT at different times and with different
standards capabilities), we propose that the 2015 Edition ToC
certification criterion reference both the C-CDA Release 1.1 and
Release 2.0 standards. In other words, a Health IT Module presented for
certification to this criterion would need to demonstrate its
conformance and capability to create and parse both versions (Release
1.1 and 2.0) of the C-CDA standards. Under this proposal, the sending
Health IT Module would send two documents (one conforming to C-CDA R1.1
and other conforming to C-CDA R2.0) and the receiving Health IT Module
would receive both versions of the documents and choose the appropriate
version for downstream processing.
While we recognize that this proposal is not ideal, we have
proposed this more conservative approach as a way to mitigate the
potential that there would be interoperability challenges for ToC as
different health care providers adopt Health IT Modules certified to
the 2015 Edition criterion at different times that include C-CDA
Release 2.0 capabilities. However, we request public comment,
especially from health IT developers with experience implementing the
C-CDA, on an alternative approach related to the creation of C-CDA-
formatted documents. The alternative approach would be focused on C-CDA
creation and receipt capabilities related to whether the health IT
system could produce one, ``dually compliant,'' C-CDA that addresses
both C-CDA versions at once. We understand that this approach is
possible, may be preferred from an implementation perspective, and
could help prevent potential data duplication errors that could result
if a Health IT Module is required to be able to produce two separate C-
CDA files (one in each version) as part of certification.
Our proposal to adopt C-CDA Release 2.0 is applicable to all of the
other certification criteria in which the C-CDA is referenced.
Similarly, unless C-CDA Release 2.0 is explicitly indicated as the sole
standard in a certification criterion, we propose to reference both C-
CDA versions in each of these criteria for the reasons just discussed.
Valid/Invalid C-CDA System Performance
As we considered stakeholder feedback and reviewed the additional
public dialogue surrounding the variability of CEHRT in recognizing
valid/invalid documents formatted according to the C-CDA 1.1 standard,
including structured content by different health IT developers,\77\ we
recognized that an expanded ToC certification criterion with a specific
capability focused principally on health IT system behavior and
performance related to recognizing valid/invalid C-CDAs would be
beneficial. Thus, we propose to include within the 2015 Edition ToC
certification criterion a specific focus on this technical system
behavior. We believe this type of error checking and resilience is an
important and necessary technical prerequisite in order to ensure that
as data in the system is parsed from a C-CDA for incorporation as part
of the ``clinical information reconciliation and incorporation''
certification criterion the user can be assured that the system has
appropriately interpreted the C-CDA it received. Further, we believe
this level of rigorous testing will better enable Health IT Modules to
properly recognize C-CDA-based documents and prepare the necessary
information for reconciliation and other workflow needs.
---------------------------------------------------------------------------
\77\ D'Amore JD, et al. J Am Med Inform Assoc 2014;21:1060-1068.
---------------------------------------------------------------------------
We propose that this specific aspect of the certification criterion
would focus on and require the following technical outcomes be met. The
Health IT Module would need to demonstrate the ability to detect valid
and invalid C-CDA documents, including document, section, and entry
level templates for data elements specified in 2014 and 2015 edition.
Specifically, this would include:
The ability of the Health IT Module to detect invalid C-
CDA documents. Thus, any data in the submitted C-CDA document that does
not conform to either the C-CDA 1.1 or 2.0 standard (in addition to
data coding requirements specified by this regulation) would be
considered invalid;
The ability to identify valid C-CDA document templates
(e.g., CCD, Discharge Summary, Progress Note) and process the required
data elements, section and entries, specific to the document templates
and this regulation.
The ability to detect invalid vocabularies and codes not
specified in
[[Page 16833]]
either the C-CDA 1.1 or 2.0 standard or required by this regulation
(e.g., using a SNOMED CT [supreg] code where a LOINC [supreg] code is
required or using a code which does not exist in the specified value
set).
The ability to correctly interpret empty sections and
nullFlavor combinations per the C-CDA 1.1 or 2.0 standard. For example,
we anticipate testing could assess a Health IT Module's ability to
continue to process a C-CDA when a nullFlavor is used at the section
template level.
We expect these capabilities would be tested by providing several
C-CDA documents with valid and invalid data. We do not expect Health IT
Modules presented for certification to have a common C-CDA handling
process, however, we do expect that they would have a baseline
capability to identify valid and invalid C-CDA documents and prepare
the necessary data for clinical information reconciliation and
incorporation. Further, we expect that Health IT Modules will have some
mechanism to track errors encountered when assessing received C-CDA's
and we have proposed that health IT be able to track the errors
encountered and allow for a user to be notified of errors or review the
errors produced. The Health IT Module would not need to support both
and how this technical outcome is accomplished is entirely up to the
health IT developer.
We direct readers to the proposed ``Consolidated CDA creation
performance'' certification criterion (Sec. 170.315(g)(6)) under which
we seek comment on a potential requirement for this certification
criterion or the ``Consolidated CDA creation performance''
certification criterion that would evaluate the completeness of the
data included in a C-CDA in order to ensure that the data recorded by
health IT is equivalent to the data included in a created C-CDA.
XDM Package Processing
As indicated in the earlier paragraphs, a Health IT Module
presented for certification to this certification criterion will need
to support one of the edge protocols referenced in the Edge IG version
1.1 (i.e., the ``IHE XDR profile for Limited Metadata Document
Sources'' edge protocol or an SMTP-focused edge protocol (SMTP alone or
SMTP in combination with either IMAP4 or POP3)). However industry
feedback has indicated that the use of XDM packages has grown within
the stakeholder community using Direct, which most often happens when
Edge System A using XDR sends content and metadata to its HISP-A, who
in turn packages that content and metadata into an XDM ZIP and sends it
within a Direct message to HISP-B, which then ultimately sends the
message containing the XDM package to Edge System B using an SMTP-based
edge.
Therefore, if Edge System B does not support XDM package
processing, interoperability could be impacted when HISP-B forwards XDM
packages to Edge System B via the SMTP protocol. To mitigate this
potential incompatibility, we propose to include a specific capability
in this certification criterion that would require a Health IT Module
presented for certification that is also being certified to the SMTP-
based edge to demonstrate its ability to accept and process an XDM
package it receives, which would include extracting relevant metadata
and document(s). That is, this additional requirement only applies to a
Health IT Module presented for certification with an SMTP-based edge
implementation and not an XDR edge implementation). Additionally,
because we expect XDM packaging to be created in accordance with the
specifications included in IHE IT Infrastructure Technical Framework
Volume 2b (ITI TF-2b),\78\ we propose to adopt this as the standard (at
Sec. 170.205(p)(1)) for assessing whether the XDM package was
successfully processed.
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\78\ https://www.ihe.net/Technical_Framework/upload/IHE_ITI_TF_Rev7-0_Vol2b_FT_2010-08-10.pdf.
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Common Clinical Data Set
We propose to include an updated Common Clinical Data Set for the
2015 Edition that includes references to new and updated vocabulary
standards code sets. Please also see the Common Clinical Data Set
definition proposal in section III.B.3 of this preamble.
Encounter Diagnoses
For encounter diagnoses, we are carrying over the requirement from
the 2014 Edition ``ToC'' certification criterion that a Health IT
Module must enable a user to create a transition of care/referral
summary that also includes encounter diagnoses using either SNOMED CT
[supreg] (September 2014 Release of the U.S. Edition as a baseline for
the 2015 Edition) or ICD-10 codes.
``Create'' and Patient Matching Data Quality
In 2011, both the HITPC and HITSC made recommendations to ONC on
patient matching. The HITPC made recommendations in the following five
categories: Standardized formats for demographic data fields;
internally evaluating matching accuracy; accountability; developing,
promoting and disseminating best practices; and supporting the role of
the individual/patient.\79\ The HITSC made the following four
recommendations: Detailing patient attributes that could be used for
matching (in order to understand the standards that are needed); data
quality; formats for these data elements; and what data are returned
from a match request.\80\ The standards recommended by the HITSC are as
follows:
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\79\ https://www.healthit.gov/sites/default/files/hitpc-transmittal-letter-priv-sectigerteam-020211.pdf.
\80\ https://www.healthit.gov/FACAS/sites/default/files/standards-certification/8_17_2011Transmittal_HITSC_Patient_Matching.pdf.
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Basic Attributes: Given Name; Last Name; Date of Birth;
Administrative Gender.\81\
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\81\ Despite its inclusion of the word ``gender,''
``Administrative Gender'' is generally used in standards to
represent a patient's ``sex,'' such as male or female. See: https://ushik.ahrq.gov/ViewItemDetails?system=hitsp&itemKey=83680000.
---------------------------------------------------------------------------
Other Attributes: Insurance Policy Number; Medical Record
Number; Social Security Number (or last 4 digits); Street Address;
Telephone Number; Zip Code.
Potential Attributes: Email Address; Voluntary
Identifiers; Facial Images; Other Biometrics.
In July 2013, ONC launched an initiative to reinvigorate public
discussion around patient matching, to perform a more detailed analysis
of patient matching practices, and to identify the standards, services,
and policies that would be needed to implement the HITPC and HITSC's
recommendations. The initiative's first phase focused on a common set
of patient attributes that could be leveraged from current data and
standards referenced in our certification criteria. Given the initial
findings, we proposed to include a limited set of standardized data as
a part of the ``Create'' portion of the ToC criterion in the Voluntary
Edition proposed rule to improve the quality of the data included in
outbound summary care records. Overall, the vast majority of commenters
supported the proposed policy that standardized patient attributes
should be required for use in as part of the transitions of care
certification criterion. Commenters overwhelmingly supported the
inclusion of the proposed constrained specifications for last name/
family name, maiden name, suffix, first/given name, middle/second name,
maiden name, date of birth, current address and historical address,
phone number, and sex in support of patient matching. However, given
our approach in the 2014 Edition Release 2 final rule
[[Page 16834]]
to only adopt a small subset of the proposed certification criteria to
provide flexibility, clarity, and enhance health information exchange,
we decided not adopted this proposal.
We again propose to include a limited set of standardized data as a
part of the ``Create'' portion of the ToC criterion in the 2015 Edition
to improve the quality of the data included in outbound summary care
records. To be clear, this proposal does not require a Health IT Module
to capture the data upon data entry, but rather at the point when the
data is exchanged (an approach commonly used for matching in HL7
transactions, IHE specifications,\82\ C-CDA specification, and the
eHealth Exchange). The proposed standardized data include: first name,
last name, middle name (including middle initial), suffix, date of
birth, place of birth, maiden name, phone number, and sex. In the
bulleted list below, we identify more constrained specifications for
some of the standardized data we propose. Based on our own research, we
do not believe that the proposed constraints to these data conflict
with the C-CDA. That being said, some proposed constraints may further
restrict the variability as permitted by existing specifications and
others may create new restrictions that do not currently exist within
the C-CDA. We propose that:
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\82\ https://www.ihe.net/Technical_Frameworks/.
---------------------------------------------------------------------------
For ``last name/family name'' the CAQH Phase II Core 258:
Eligibility and Benefits 270/271 Normalizing Patient Last Name Rule
version 2.1.0 \83\ (which addresses whether suffix is included in the
last name field) be followed.
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\83\ https://www.caqh.org/pdf/CLEAN5010/258-v5010.pdf.
---------------------------------------------------------------------------
For ``suffix,'' that the suffix should follow the CAQH
Phase II Core 258: Eligibility and Benefits 270/271 Normalizing Patient
Last Name Rule version 2.1.0 (JR, SR, I, II, III, IV, V, RN, MD, Ph.D.,
ESQ) \84\ and that if no suffix exists, the field should be marked as
null.
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\84\ https://www.caqh.org/pdf/CLEAN5010/258-v5010.pdf.
---------------------------------------------------------------------------
For ``date of birth,'' that the year, month and date of
birth should be required fields while hour, minute and second should be
optional fields. If hour, minute and second are provided then either
time zone offset should be included unless place of birth (city,
region, country) is provided; in the latter local time is assumed. If
date of birth is unknown, the field should be marked as null.
For ``phone numbers,'' the ITU format specified in ITU-T
E.123 \85\ and ITU-T E.164 \86\ be followed and that the capture of
home, business, and cell phone numbers be allowed.\87\ Further, that if
multiple phone numbers are present in the patient's record, all should
be included in the C-CDA and transmitted.
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\85\ https://www.itu.int/rec/T-REC-E.123-200102-I/e.
\86\ https://www.itu.int/rec/T-REC-E.164-201011-I/en.
\87\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=186.
---------------------------------------------------------------------------
For ``sex'' we propose to require developers to follow the
HL7 Version 3 Value Set for Administrative Gender and a nullFlavor
value attributed as follows: M (Male), F (Female), and UNK (Unknown).
While the Patient Matching Initiative's recommendations included
standardizing current and historical address, we have not included a
specific standardized constraint for that data at this time due to a
lack of consensus around the proper standard. In response to the
Voluntary Edition proposed rule, commenters also suggested that we
delay support for international standards for address until future
editions of certification criteria. To reiterate, the data we propose
for patient matching would establish a foundation based on leveraging
current data and standards in certification criteria. We welcome
comments on this approach and encourage health IT developers to
consider and support the use other patient data that would improve
patient matching for clinical care and many types of clinical research.
Direct Best Practices
In the past couple of years we have heard feedback from
stakeholders regarding health IT developers limiting the transmission
or receipt of different file types via Direct. We wish to remind all
stakeholders of the following best practices for the sharing of
information and enabling the broadest participation in information
exchange with Direct: https://wiki.directproject.org/Best+Practices+for+Content+and+Workflow.
Certification Criterion for C-CDA and Common Clinical Data Set
Certification
We note that no proposed 2015 Edition health IT certification
criteria includes just the C-CDA Release 2.0 and/or the Common Clinical
Data Set, particularly with the 2015 Edition not including a proposed
``clinical summary'' certification criterion as discussed later on in
this preamble. Health IT certified to simply the C-CDA Release 2.0 with
or without certification to the Common Clinical Data Set may be
beneficial for other purposes, including participation in HHS payment
programs. We request comment on whether we should adopt a separate 2015
Edition health IT certification criterion for the voluntary testing and
certification of health IT to the capability to create a summary record
formatted to the C-CDA Release 2.0 with or without the ability to meet
the requirements of the Common Clinical Data Set definition.
C-CDA Data Provenance Request for Comment
As the exchange of health data increases, so does the demand to
track the provenance of this data over time and with each exchange
instance. Confidence in the authenticity, trustworthiness, and
reliability of the data being shared is fundamental to robust privacy,
safety, and security enhanced health information exchange. The term
``provenance'' in the context of health IT refers to evidence and
attributes describing the origin of electronic health information as it
is captured in a health system and subsequently persisted in a way that
supports its lifespan. As described in the President's Council of
Advisors on Science and Technology (PCAST) Report ``Realizing the Full
Potential of Health Information Technology to Improve Healthcare for
Americans'' \88\, provenance includes information about the data's
source and the processing that the data has undergone. The report
refers to ``tagged data elements'' as units of data accompanied by a
``metadata tag'' that describes the attributes, provenance, and
required security protections of the data.
---------------------------------------------------------------------------
\88\ PCAST Report to the President: Realizing the Full Potential
of Health Information Technology to Improve Healthcare for
Americans: The Path Forward, https://www.whitehouse.gov/sites/default/files/microsites/ostp/pcast-health-it-report.pdf.
---------------------------------------------------------------------------
In April 2014, ONC launched the Data Provenance Initiative within
the Standards and Interoperability (S&I) Framework to identify the
standards necessary to capture and exchange provenance data, including
provenance at time of creation, modification, and time of exchange.\89\
The stakeholder community represented a wide variety of organizations
including health IT developers; federal, state, and local agencies;
healthcare professionals; research organizations; payers; labs; and
individuals within academia. In the fall of 2014, the HL7 IG for CDA
Release 2: Data Provenance, Release 1 (US Realm) (DSTU) \90\ was
published. This IG
[[Page 16835]]
clarifies existing content from various standards within HL7 \91\ and
describes how provenance information for a CDA document in a health IT
system should be applied, and what vocabulary should be used for the
metadata. This includes provenance metadata in the CDA at the header,
section and entry levels. We seek comment on the maturity and
appropriateness of this IG for the tagging of health information with
provenance metadata in connection with the C-CDA. Additionally, we seek
comment on the usefulness of this IG in connection with certification
criteria, such as ToC and VDT certification criteria.
---------------------------------------------------------------------------
\89\ https://wiki.siframework.org/Data+Provenance+Initiative.
\90\ https://wiki.hl7.org/index.php?title=HL7_Data_Provenance_Project_Space and https://gforge.hl7.org/gf/project/cbcc/frs/?action=FrsReleaseBrowse&frs_package_id=240.
\91\ Standards including HL7 Clinical Documentation Architecture
Release 2 (CDA R2), HL7 Implementation Guide: Data Segmentation for
Privacy (DS4P), Release 1, and HL7 Version 2 Vocabulary &
Terminology Standards (all are normative standards).
---------------------------------------------------------------------------
Clinical Information Reconciliation and Incorporation
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(b)(2) (Clinical information reconciliation and
incorporation)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``clinical information
reconciliation and incorporation'' certification criterion that is a
revised (but largely similar to the 2014 Edition Release 2) version of
the ``clinical information reconciliation and incorporation'' criterion
adopted at Sec. 170.314(b)(9).
Incorporation System Performance
As we considered public comments made after the 2014 Edition final
rule and reviewed the additional public dialogue surrounding the
variability of certified health IT in incorporating C-CDAs including
structured content by different health IT developers \92\, we
recognized the need to expand the existing ``clinical information
reconciliation and incorporation'' certification criterion to focus on
health IT system behavior and performance related to incorporating C-
CDAs including structured content. We believe that testing a Health IT
Module's capability to reconcile and incorporate, at a minimum:
problems, medications, and medication allergies from multiple C-CDAs
will improve the overall clinical effectiveness.
---------------------------------------------------------------------------
\92\ D'Amore JD, et al. J Am Med Inform Assoc 2014; 21:1060-
1068.
---------------------------------------------------------------------------
We expect that testing for this specific system performance would
include the ability to incorporate valid C-CDAs with variations of data
elements to be reconciled (e.g., documents with no medications,
documents having variations of medication timing data). In addition we
believe we can further strengthen this certification criterion by
proposing to require that a C-CDA be created based on the
reconciliation and incorporation process in order to validate the
incorporation results. We anticipate that the generated C-CDA would be
verified using test tools for conformance and can be checked against
the information that was provided to incorporate.
Accordingly, we propose that the following technical system
behavior and performance also be addressed as part of the clinical
information reconciliation and incorporation certification criterion:
The Health IT Module must demonstrate the ability to reconcile problem,
medication, and medication allergy data from valid C-CDAs (both Release
1.1. and 2.0) with variations of data elements to be reconciled and
then generate a conformant C-CDA document based on the reconciled
information. For example, a test could include assessing a Health IT
Module's capability to reconcile and incorporate medication information
with different timing information.
Electronic Prescribing (e-Prescribing)
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(b)(3) (Electronic prescribing)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition certification criterion for e-
prescribing that is revised in comparison to the 2014 Edition ``e-
prescribing'' criterion (Sec. 170.314(b)(3)). First, for the purposes
of certification, we propose to require a Health IT Module to be able
to receive and respond to additional NCPDP SCRIPT Standard
Implementation Guide Version 10.6 (v10.6) transactions or segments,
namely Change Prescription, Refill Prescription, Cancel Prescription,
Fill Status, and Medication History. Second, for the purposes of
certification, we propose to require that a Health IT Module
demonstrate that directions for medication use transmitted as e-
prescriptions are codified in a structured format. Third, for the
purposes of certification, we propose to require a Health IT Module be
able to limit a user to e-prescribing all medications in the metric
unit standard only, follow NCPDP-recommended conventions for use of
leading zeroes before a decimal, and avoid use of trailing zeroes after
a decimal when e-prescribed.
e-Prescribing Transactions or Segments
For 2014 Edition testing and certification to this criterion, a
Health IT Module presented for certification must demonstrate that it
can create a new prescription according to the NCPDP SCRIPT v10.6 New
Prescription transaction (NEWRX). Stakeholders have recommended we
consider expanding testing to a greater number of NCPDP SCRIPT v10.6
transactions and segments in order to better facilitate prescriber and
pharmacist communications to provide better care for patients.
Stakeholders have indicated that there is variable uptake and
inconsistent implementation of the transactions in the NCPDP SCRIPT
Standard v10.6 despite their added value for patient safety and
improved communication between prescribers and pharmacists. In
consideration of stakeholder input, we propose to include additional
NCPDP SCRIPT v10.6 transactions in addition to the New Prescription
transaction for health IT testing and certification. We propose that
testing and certification would require a Health IT Module to
demonstrate the ability to send and receive end-to-end prescriber-to-
receiver/sender-to-prescriber transactions (bidirectional
transactions). The transactions and reasons for inclusion for testing
and certification are outlined in Table 3 below.
[[Page 16836]]
Table 3--Proposed Additional \93\ NCPDP SCRIPT v10.6 Transactions for Testing and Certification to e-Prescribing
Certification Criterion
----------------------------------------------------------------------------------------------------------------
NCPDP SCRIPT v10.6 transaction or Problem addressed/value in
segment Use case(s) testing for certification
----------------------------------------------------------------------------------------------------------------
Change Prescription (RXCHG, CHGRES).. Allows a pharmacist to request a Facilitates more efficient,
change of a new prescription or a standardized electronic
``fillable'' prescription. communication between
Allows a prescriber to respond to prescribers and pharmacists
pharmacy requests to change a for changing prescriptions.
prescription.
Cancel Prescription (CANRX, CANRES).. Notifies the pharmacist that a Facilitates more efficient,
previously sent prescription should be standardized electronic
canceled and not filled. communication between
prescribers and pharmacists
for cancelling
prescriptions.
Sends the prescriber
the results of a
prescription cancellation
request.
Refill Prescription (REFREQ, REFRES). Allows the pharmacist to request Facilitates more efficient,
approval for additional refills of a standardized electronic
prescription beyond those originally communication between
prescribed. prescribers and pharmacists
for refilling prescriptions.
Allows the prescriber to grant
the pharmacist permission to provide a
patient additional refills or decline to
do so.
Fill Status (RXFILL)................. Allows the pharmacist to notify the Allows the prescriber to know
prescriber about the status of a whether a patient has picked
prescription in three cases: 1) to notify up a prescription, and if
of a dispensed prescription, 2) to notify so, whether in full or in
of a partially dispensed prescription, 3) part. This information can
to notify of a prescription not inform assessments of
dispensed. medication adherence.
Medication History (RXHREQ, RXHRES).. Allows a requesting entity to Allows a requesting entity to
generate a patient-specific medication receive the medication
history request. history of a patient. A
The responding entity can respond prescriber may use this
with a patient's medication history, information to perform
including source, fill number, follow-up medication utilization
contact, date range, as information is review, medication
available. reconciliation, or other
medication management to
promote patient safety.
----------------------------------------------------------------------------------------------------------------
We solicit comment on including the proposed transactions and
segments for testing and certification to this certification criterion
as outlined in Table 3, and on the problems addressed/value in testing
for certification. We also solicit comment on the following issues:
---------------------------------------------------------------------------
\93\ We are proposing to keep the ``New Prescription''
transaction for testing and certification.
---------------------------------------------------------------------------
Other NCPDP SCRIPT v10.6 transactions that should be
considered for testing and certification, and for what use cases/value;
What factors we should consider for end-to-end prescriber-
to-receiver testing.
We also propose to adopt and include the February 2, 2015 monthly
version of RxNorm in this criterion as the baseline version minimum
standards code set for coding medications (see section III.A.2.d
(``Minimum Standards'' Code Sets) of this preamble).
Structured and Codified ``Sig''
Medications can be e-prescribed using a free text format, and
typically the instructions include the medication name, dose, route of
administration, frequency of administration, and other special
instructions. This set of prescribing instructions is referred to as
the ``Sig.'' In a free text format, non-standard or conflicting
language may be used that is not understood by the pharmacist filling
the prescription. Where systems do facilitate creation of the Sig, some
systems may auto-concatenate the field length and thus the tail end of
the Sig is lost. This has implications for communication between
prescribers and pharmacists as well as for patient safety. Prescribers
and pharmacists may have to engage in back-and-forth communication to
clarify what is intended in the Sig instructions. Therefore, there is
an opportunity to streamline prescriber-pharmacist communication, allow
more time for direct activities of patient care, and reduce confusion
during the pharmacy verification and dispensing processes.
We are aware that the NCPDP SCRIPT v10.6 standard includes
structured Sig segments that are used to codify the prescribing
directions in a structured format.\94\ Providing Sig instructions in a
structured format promotes accurate, consistent, and clear
communication of the prescribing information as intended by the
prescriber.
---------------------------------------------------------------------------
\94\ NCPDP's Structured and Codified Sig Format Implementation
Guide v1.2 is adopted within SCRIPT v10.6.
---------------------------------------------------------------------------
In one study of the structured and codified Sig within NCPDP SCRIPT
v10.5, the Sig format fully represented 95% of ambulatory prescriptions
tested.\95\ While we believe that the results of this study give an
indication of the scope of the structured and codified Sig within NCPDP
SCRIPT v10.5, we note that the Sig standard was tested in the lab
environment and not with live end-users. Stakeholders have also
indicated the limitations of the structured and codified Sig within
NCPDP SCRIPT v10.6 to represent all Sig instructions, particularly
complex Sigs requiring multi-step directions. For example, stakeholders
have noted that the Sig segment within the NCPDP SCRIPT v10.6 standard
limits the field length to 140 characters whereas later versions of the
NCPDP SCRIPT standard (from v201311 onward) have expanded the character
length to 1000. Despite these potential limitations, we see
standardizing and codifying the majority of routine prescriptions as a
means to promote patient safety as well as reduce disruptions to
prescriber workflow through a reduction in pharmacy call-backs.
---------------------------------------------------------------------------
\95\ Liu H, Burkhart Q and Bell DS. Evaluation of the NCPDP
Structured and Codified Sig Format for e-prescriptions. J Am Med
Inform Assoc. 2011 Sep-Oct;18(5):645-51.
---------------------------------------------------------------------------
We note the flexibility to create complex unstructured Sigs remains
through use of existing e-prescribing workflow and appropriate use of
the free text field. There is, however, low uptake of structured Sig
according to the NCPDP SCRIPT v10.6 standard, which includes a
combination of mandatory and conditional structured Sig segments.
We believe that medication Sig instructions should be codified in a
[[Page 16837]]
structured format for the benefits outlined above. Therefore, we
propose to require that a Health IT Module enable a user to enter,
receive, and transmit codified Sig instructions in a structured format
in accordance with NCPDP Structured and Codified Sig Format
Implementation Guide v1.2 which is embedded within NCPDP SCRIPT v10.6
for certification to the e-prescribing criterion in the 2015
Edition.\96\ We propose that this requirement apply to the New
Prescription, Change Prescription, Refill Prescription, Cancel
Prescription, Fill Status, and Medication History prescription
transactions or segments as we understand that the NCPDP Structured and
Codified Sig Format can be used for all NCPDP SCRIPT v10.6 prescription
transactions that include the medication field. We also propose to
require that a Health IT Module include all structured Sig segment
components enumerated in NCPDP SCRIPT v10.6 (i.e., Repeating Sig, Code
System, Sig Free Text String, Dose, Dose Calculation, Vehicle, Route of
Administration, Site of Administration, Sig Timing, Duration, Maximum
Dose Restriction, Indication and Stop composites).
---------------------------------------------------------------------------
\96\ NCPDP's Structured and Codified Sig Format Implementation
Guide v1.2 is within the NCPDP SCRIPT v10.6 standard.
---------------------------------------------------------------------------
We are aware that NCPDP has recently published recommendations for
implementation of the structured and Codified Sig format for a subset
of component composites that represent the most common Sig segments in
the NCPDP SCRIPT Implementation Recommendations Version 1.29.\97\ We
therefore welcome comment on this proposal, including whether we should
require testing and certification to a subset of the structured and
codified Sig format component composites that represent the most common
Sig instructions rather than the full NCPDP Structured and Codified Sig
Format Implementation Guide v1.2. As previously noted, prescribers
would still be able to be able to create unstructured Sigs through the
use of the free text field, and our proposal only discusses the
capability of technology to enable a user to enter, receive, and
transmit codified Sig instructions using the NCPDP Structured and
Codified Sig Format.
---------------------------------------------------------------------------
\97\ https://www.ncpdp.org/NCPDP/media/pdf/SCRIPTImplementationRecommendationsV1-29.pdf.
---------------------------------------------------------------------------
Medication Dosing
In the Voluntary Edition proposed rule, we solicited comment on
whether we should propose health IT certification for oral liquid
medication dosing to the metric standard (e.g., mL or milliliters) for
patient safety reasons (79 FR 10926-10927). Use of the metric standard
offers more precision in medication dose than the Imperial standard
(e.g., teaspoons), which can decrease preventable adverse drug events.
A number of health care and standards developing organizations,
including the AAP \98\ and NCPDP,\99\ support the use of the metric
standard for dosing volumetric medications. Additionally, the FDA's
Safe Use Initiative is working with CDC, NCPDP, and other stakeholders
to encourage adoption of the NCPDP's recommendations for standardizing
dosing designations on prescription container labels of oral liquid
medications.\100\ Recent research has demonstrated that parents who
used milliliter-only dosing instruments were less likely to make dosing
errors than parents who used teaspoons or tablespoon units.\101\
---------------------------------------------------------------------------
\98\ AAP Council on Clinical Information Technology Executive
Committee, 2011-2012. Policy Statement--Electronic Prescribing in
Pediatrics: Toward Safer and More Effective Medication Management.
Pediatrics 2013; 131;824.
\99\ https://www.ncpdp.org/NCPDP/media/pdf/wp/DosingDesignations-OralLiquid-MedicationLabels.pdf.
\100\ https://www.fda.gov/Drugs/DrugSafety/SafeUseInitiative/ucm188762.htm#overdoses.
\101\ Unit of Measurement Used and Parent Medication Dosing
Errors. Pediatrics 134:2 August 1, 2014. Pp. e354-e361.
---------------------------------------------------------------------------
We received a number of comments to the comment solicitation. Many
commenters noted that the structured Sig segment of the NCPDP SCRIPT
Standard v10.6 supports use of the metric standard for liquid
medication dosing. One ONC-ACB commented that in their experience,
vendors have struggled to properly codify medication dosing information
within the C-CDA in terms of consistency across all health IT systems.
Many provider organizations and patient advocacy organizations were in
support of requiring use of the metric standard for oral liquid
medication dosing. Additionally, many commenters were in favor of
providing the metric standard as one option to record liquid medication
doses. We also received comments recommending the proper use of leading
and trailing zeroes in dosing designations. NCPDP has recommended that
dose amounts should always use leading zeroes before the decimal point
for amounts less than one, and should not use trailing zeroes after a
decimal point for oral liquid medications.\102\
---------------------------------------------------------------------------
\102\ https://www.ncpdp.org/NCPDP/media/pdf/wp/DosingDesignations-OralLiquid-MedicationLabels.pdf.
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Our intent is for health IT to be able to more precisely dose
prescriptions in order to reduce dosing errors and improve patient
safety. We also believe that use of the metric standard could improve
patient safety and potentially reduce dosing errors for all medications
in addition to oral liquid medications. We therefore propose, for
certification to this criterion, that a Health IT Module be capable of
limiting a user's ability to electronically prescribe all medications
in only the metric standard. Prescription labels contain the dosing
instructions specified by the prescriber. Thus, if the prescriber doses
using the metric standard, the label will contain dosing instructions
in the metric standard and potentially reduce dosing errors during
administration. We also propose to require that a Health IT Module be
capable of always inserting leading zeroes before the decimal point for
amounts less than one when a user electronically prescribes medications
as well as not allow trailing zeroes after a decimal point. We welcome
comment on these proposals, including the feasibility of implementing
the metric standard for e-prescribing all medications.
Incorporate Laboratory Tests and Values/Results
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(b)(4) (Incorporate laboratory tests and values/results)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``incorporate laboratory tests
and values/results'' certification criterion that is revised in
comparison to the 2014 Edition ``incorporate laboratory tests and
values/results'' criterion (Sec. 170.314(b)(5)). We propose to adopt
and include the HL7 Version 2.5.1 Implementation Guide: S&I Framework
Lab Results Interface, Draft Standard for Trial Use, Release 2, US
Realm (``LRI Release 2'') in the proposed 2015 Edition ``transmission
of laboratory test reports'' criterion for the ambulatory setting. LRI
Release 2 is currently under ballot reconciliation with HL7 and should
be published in the next few months.\103\ LRI Release 2 would:
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\103\ https://www.hl7.org/participate/onlineballoting.cfm?ref=nav#nonmember. Access to the current draft
of the LRI Release 2 IG is freely available for review during the
public comment period by establishing an HL7 user account.
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Implement common formats across US Realm IGs for
consistent reader
[[Page 16838]]
experience (e.g., sequence of sections, formatting, layout, and
terminology);
Incorporates all previous errata, LRI Release 1 DSTU
comments and change requests;
Adopt HL7 version 2.8 fields developed to fill gaps
identified in the development of Release 1;
Include harmonized data type ``flavors'' for use across
the US Realm Lab IGs;
Introduce initial requirements for error reporting
conditions and severity (hard/soft errors) and system/application
acknowledgements;
Harmonize data element usage and cardinality requirements
with LOI Release 1, and the electronic Directory of Services (eDOS) IG;
Incorporate US Lab Realm value sets developed for clarity
and consistency across all laboratory IGs; and
Use a new publication method for value sets that allows
for precision usage at point of use and provides ``at a glance''
comprehensive usage at the field and component-level across all
laboratory IGs; and synced with value set activities (HL7, VSAC, etc.).
Overall, we propose to adopt LRI Release 2 because it addresses
errors and ambiguities found in LRI Release 1 and harmonizes
interoperability requirements with other laboratory standards we
propose to adopt in this proposed rule (e.g., the HL7 Version 2.5.1
Implementation Guide: S&I Framework Laboratory Orders from EHR, DSTU
Release 2, US Realm, 2013 \104\).
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\104\ We have proposed to adopt this implementation guide for
the 2015 Edition ``CPOE for laboratory orders'' certification
criterion.
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As compared to the 2014 Edition certification criterion, we also
propose more specific requirements for how a Health IT Module must be
capable of electronically displaying the information included in a test
report. This specificity would improve the consistency with how
laboratory tests and values/results are displayed, which would also
assist with laboratory compliance with CLIA. To meet this criterion, a
Health IT Module would be required to display the following information
included in laboratory test reports it receives: (1) the information
for a test report as specified in 42 CFR 493.1291(a)(1) through (a)(3)
and (c)(1) through (c)(7); the information related to reference
intervals or normal values as specified in 42 CFR 493.1291(d); the
information for alerts and delays as specified in 42 CFR 493.1291(g)
and (h); and the information for corrected reports as specified in 42
CFR 493.1291(k)(2).
We also propose, for the purposes of certification, to require a
Health IT Module to be able to use, at a minimum, the version of
Logical Observation Identifiers Names and Codes (LOINC[supreg]) adopted
at Sec. 170.207(c)(3) (version 2.50) as the vocabulary standard for
laboratory orders. This is the most recent version of LOINC[supreg]. We
refer readers to section III.A.2.d (``Minimum Standards'' Code Sets)
for further discussion of our adoption of LOINC[supreg] as a minimum
standards code set and our proposal to adopt version 2.50, or
potentially a newer version if released before a subsequent final rule,
as the baseline for certification to the 2015 Edition.
We propose to adopt the updated LRI Release 2 at Sec.
170.205(j)(2), which requires the modification of the regulatory text
hierarchy in Sec. 170.205(j) to designate the standard referenced by
the 2014 Edition version of this certification criterion at Sec.
170.205(j) to be at Sec. 170.205(j)(1). This regulatory structuring of
the IGs would make the CFR easier for readers to follow.
EHR-S Functional Requirements LRI IG/Testing and Certification
Requirements
We seek comment on the HL7 EHR-S Functional Requirements for the
V2.5.1 Implementation Guide: S&I Framework Lab Results Interface R2,
Release 1, US Realm, Draft Standard for Trial Use, Release 1 (``EHR-S
IG''). The EHR-S IG is currently under ballot reconciliation with
HL7.\105\ The focus of the EHR-S IG is the definition of EHR system
functional requirements related to the receipt of laboratory results
that are compliant with the LRI Release 2. The EHR-S IG also includes
additional requirements as set forth in CLIA as well as clinical best
practices beyond the scope of LRI Release 2.
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\105\ https://www.hl7.org/participate/onlineballoting.cfm?ref=nav#nonmember. Access to the current draft
of the EHR-S IG is freely available for review during the public
comment period by establishing an HL7 user account.
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We specifically seek comment on the clarity and completeness of the
EHR-S IG in describing the requirements related to the receipt and
incorporation of laboratory results for measuring conformance of a
Health IT Module to LRI Release 2. In addition, we seek comment on how
a Health IT Module should be tested and certified consistently and
uniformly for the incorporation of laboratory results data. For
example, should testing and certification require the Health IT Module
to demonstration the ability to associate the laboratory result with an
order or patient, to recall the result for display or for submission to
another technology, and/or to use the result for automated clinical
decision support interventions? Further, what, if any, specific
capabilities currently included in the EHR-S IG should be part of
testing and certification for this criterion?
Transmission of Laboratory Test Reports
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(b)(5) (Transmission of laboratory test reports)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``transmission of laboratory
test reports'' certification criterion that is revised in comparison to
the 2014 Edition ``transmission of electronic laboratory tests and
values/results to ambulatory providers'' criterion (Sec.
170.314(b)(6)). We have renamed this criterion to more clearly indicate
its availability for the certification of health IT used by any
laboratory. We propose to adopt and include the HL7 Version 2.5.1
Implementation Guide: S&I Framework Lab Results Interface, Draft
Standard for Trial Use, Release 2, US Realm (``LRI Release 2'') in the
proposed 2015 Edition ``transmission of laboratory test reports''
criterion. LRI Release 2 is currently under ballot reconciliation with
HL7 and should be published in the next few months.\106\ We propose to
adopt this standard for the same reasons discussed in the 2015 Edition
``incorporate laboratory tests and values/results'' above. We refer
readers to the description of the LRI Release 2 IG and our rationale
for its adoption discussed in that criterion.
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\106\ Access to the current draft of the LRI Release 2 IG is
freely available for review during the public comment period by
establishing an HL7 user account.
---------------------------------------------------------------------------
As also discussed in the 2015 Edition ``incorporate laboratory
tests and values/results'' above, the LRI Release 2 IG requires the
information for a test report as specified at 42 CFR 493.1291(a)(1)
through (3), (c)(1) through (c)(7), (d), (g), (h) and (k)(2) to be
included in the content message. Therefore, inclusion of this standard
for certification should not only facilitate improved interoperability
of electronically sent laboratory test reports (as discussed in more
detail in the 2015 Edition ``incorporate laboratory tests and values/
results'' criterion), but also facilitate laboratory compliance with
CLIA as it relates to the incorporation and display of test results in
a receiving system.
We also propose, for the purposes of certification, to require a
Health IT
[[Page 16839]]
Module to be able to use, at a minimum, the version of Logical
Observation Identifiers Names and Codes (LOINC[supreg]) adopted at
Sec. 170.207(c)(3) (version 2.50) as the vocabulary standard for
laboratory orders. This is the most recent version of LOINC[supreg]. We
refer readers to section III.A.2.d (``Minimum Standards'' Code Sets)
for further discussion of our adoption of LOINC[supreg] as a minimum
standards code set and our proposal to adopt version 2.50, or
potentially a newer version if released before a subsequent final rule,
as the baseline for certification to the 2015 Edition.
We propose to adopt the updated LRI Release 2 at Sec.
170.205(j)(2), which requires the modification of the regulatory text
hierarchy in Sec. 170.205(j) to designate the standard referenced by
the 2014 Edition version of this certification criterion at Sec.
170.205(j) to be at Sec. 170.205(j)(1). This regulatory structuring of
the IGs would make the CFR easier for readers to follow.
Data Portability
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(b)(6) (Data portability)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``data portability''
certification criterion that is revised in comparison to the 2014
Edition ``data portability'' certification criterion (Sec.
170.314(b)(7)). Similar to the 2014 Edition version, we propose to
include the 2015 Edition ``data portability'' criterion in the Base EHR
definition (i.e., the 2015 Base EHR definition).
For the 2014 Edition ``data portability'' criterion, we expressed
that the criterion was intended to enable an EP, eligible hospital, or
CAH to create a set of export summaries for all patients in EHR
technology formatted according to the C-CDA that includes each
patient's most recent clinical information. (77 FR 54193). We also
included this criterion in the Base EHR definition as a way to ensure
that the capability was delivered to EPs, eligible hospitals, or CAHs.
By including the criterion in the Base EHR definition, an EP, eligible
hospital, or CAH must have EHR technology certified to this criterion
in order to possess EHR technology that meets the CEHRT definition.
In the years since the 2014 Edition final rule was issued
(September 2012) and the subsequent implementation and use of this
capability by EPs, eligible hospitals, and CAHs, we have received two
types of feedback. From health IT developers, we have received requests
for clarification about this certification criterion's scope. For
example, requests for clarifications about the data that must be
produced and from how far back in time the data must be produced.
Whereas from providers (and the implementation professionals and third
party developers with which they work), we have generally received more
substantive critiques about the overall usefulness of the capability
and the ways in which health IT developers met the certification
criterion's requirements but did not necessarily deliver on its intent.
Such ``user'' comments conveyed that some health IT developers provided
a capability that was difficult or non-intuitive to use, difficult to
find to even use (e.g., ``hidden''), and in some cases either required
developer personnel to assist the provider in executing the capability
or limited its execution to only being done by the developer at the
provider's request. We have also received feedback that the scope of
testing has not rigorously assessed the ability of health IT to create
large quantities of export summaries. As a result, some providers have
reported challenges and poor performance associated with this
capability.
We believe that this feedback from CEHRT users indicates that the
data portability certification criterion adopted in the 2014 Edition
has not provided the data accessibility to providers we believed would
occur as a result of its adoption. It also indicates that some health
IT developers have (intentionally or unintentionally) obstructed the
certification criterion's true intent--to give providers easy access
and an easy ability to export clinical data about their patients for
use in a different EHR technology or even a third party system for the
purpose of their choosing.
To address provider critiques as well as to provide additional
developer requested clarity, we propose a revised 2015 Edition ``data
portability'' certification criterion as compared to the 2014 Edition
version. The proposed data portability certification criterion at Sec.
170.315(b)(6) approaches data portability from a slightly different
angle than the 2014 Edition version and focuses on the following
specific capabilities.
1. As a general rule, we emphasize that this capability would need
to be user-focused and user driven. A user must be able to set the
configuration options included within the more detailed aspects of the
criterion and a user must be able to execute these capabilities at any
time the user chooses and without subsequent developer assistance to
operate. We expect that testing of a Health IT Module presented for
certification to this criterion would include a demonstration that the
Health IT Module enables a user to independently execute this
capability without assistance from the health IT developer beyond
normal orientation/training.
2. The criterion would require that a user be able to configure the
Health IT Module to create an export summary for a given patient or set
of export summaries for as many patients selected. It would also
require that these export summaries be able to be created according to
any of the following document-template types included in the C-CDA R2.0
(also proposed as the content standard in this criterion): CCD;
Consultation Note; History and Physical; Progress Note; Care Plan;
Transfer Summary; and Referral Note. We also propose that the Discharge
Summary document template be included for a Health IT Module developed
for the inpatient setting.
3. From a data perspective, we propose that the minimum data that a
Health IT Module must be capable of including in an export summary are:
the data represented by the Common Clinical Data Set and:
Encounter diagnoses (according to the standard specified
in Sec. 170.207(i) (ICD-10-CM) or, at a minimum, the version of the
standard at Sec. 170.207(a)(4) (September 2014 Release of the U.S.
Edition of SNOMED CT[supreg]) \107\;
---------------------------------------------------------------------------
\107\ We refer readers to section III.A.2.d (``Minimum
Standards'' Code Sets) for further discussion of our adoption of
SNOMED CT[supreg] as a minimum standards code set and our proposal
to adopt the September 2014 Release (U.S. Edition), or potentially a
newer version if released before a subsequent final rule, as the
baseline for certification to the 2015 Edition.
---------------------------------------------------------------------------
Cognitive status;
Functional status;
For the ambulatory setting only. The reason for referral;
and referring or transitioning provider's name and office contact
information; and
For the inpatient setting only. Discharge instructions.
4. We propose that a user would need to be able to be able to
configure the technology to set the time period within which data would
be used to create the export summary or summaries. And that this must
include the ability to enter in a start and end date range as well as
the ability to set a date at least three years into the past from the
current date.
5. We propose that a user would need to be able to configure the
technology to create an export summary or summaries based on the
following user selected events:
A relative date or time (e.g., the first of every month);
[[Page 16840]]
A specific date or time (e.g., on 10/24/2015); and
When a user signs a note or an order.
6. We propose that a user would need to able to configure and set
the storage location to which the export summary or export summaries
are intended to be saved.
Again, we emphasize that all these capabilities would need to be
able to be configured and executed by a user without the aid of
additional health IT developer personnel and without the need to
request developer action. Further, we also reiterate that we have
expanded the nature and focus of this criterion to more precisely
address provided critiques as well as to expand the anticipated and
potential uses providers can deploy based on this more configuration
focused criterion.
Data Segmentation for Privacy
We propose to adopt two new certification criteria that would focus
on the capability to separately track (``segment'') individually
identifiable health information that is protected by rules that are
more privacy-restrictive than the HIPAA Privacy Rule. This type of
health information is sometimes referred to as sensitive health
information. The HIPAA Privacy Rule serves as the federal baseline for
health information privacy protections. It also generally permits the
use or disclosure of protected health information (PHI) for limited
specific purposes (such as treatment and payment) without a patient's
permission.\108\
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\108\ https://www.hhs.gov/ocr/privacy/hipaa/administrative/privacyrule/.
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The HIPAA Privacy Rule does not override (or preempt) more privacy-
protective federal and state privacy laws. A number of federal and
state health information privacy laws and regulations are more privacy-
protective than the HIPAA Privacy Rule. Typically, these rules require
a patient's permission (often referred to as ``consent'' in these
rules) in writing in order for the individually identifiable health
information regulated by those laws to be shared. One example is the
Federal Confidentiality of Alcohol and Drug Abuse Patient Records
regulations (42 CFR part 2) (``part 2'') that apply to information
about treatment for substance abuse from federally funded
programs.\109\ There are also federal laws protecting certain types of
health information coming from covered U.S. Department of Veterans
Affairs facilities and programs (38 U.S.C. 7332). These laws and
comparable state laws were established, in part, to address the social
stigma associated with certain medical conditions by encouraging people
to get treatment and providing them a higher degree of control over how
their health information may be shared. These laws place certain
responsibilities on providers to maintain the confidentiality of such
information. More restrictive state laws also protect certain
categories of individually identifiable health information, such as
information regarding minors or teenagers, intimate partner/sexual
violence, genetic information, and HIV-related information.\110\ These
laws and regulations remain in effect and changes to these laws and
regulations are not within the scope of this proposed rule.\111\
However, with these laws in mind, the proposals that follow seek to
encourage the development and use of a technical capability that
permits users to comply with these existing laws and regulations. These
proposals are also in line with the Connecting Health and Care for the
Nation: A Shared Nationwide Interoperability Roadmap Version 1.0.\112\
HHS is committed to encouraging the development and use of policy and
technology to advance patients' rights to access, to amend, and to make
choices for the disclosure of their electronic individually
identifiable health information. HHS also noted support for the
development of standards and technology to facilitate patients' ability
to control the disclosure of specific information that is considered by
many to be sensitive in nature (such as information related to
substance abuse treatment, reproductive health, mental health, or HIV)
in an electronic environment.\113\
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\109\ https://www.healthit.gov/sites/default/files/privacy-security/gwu-data-segmentation-final-cover-letter.pdf.
\110\ https://www.healthit.gov/providers-professionals/patient-consent-electronic-health-information-exchange/health-information-privacy-law-policy.
\111\ For a policy discussion, see Substance Abuse and Mental
Health Services Administration (SAMHSA)'s recent public listening
session pertaining to the federal confidentiality of regulations:
https://www.federalregister.gov/articles/2014/05/12/2014-10913/confidentiality-of-alcohol-and-drug-abuse-patient-records.
\112\ https://www.healthit.gov/sites/default/files/nationwide-interoperability-roadmap-draft-version-1.0.pdf.
\113\ https://www.healthit.gov/sites/default/files/nationwide-interoperability-roadmap-draft-version-1.0.pdf.
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Technological advances are creating opportunities to share data and
allow patient preferences to electronically persist in health IT. In
2012, ONC launched the Data Segmentation for Privacy (DS4P) initiative
through ONC's Standards and Interoperability (S&I) Framework.\114\ The
DS4P initiative aimed to provide technical solutions and pilot
implementations to help meet existing legal requirements in an
increasingly electronic environment.\115\ The DS4P initiative worked to
enable the implementation and management of varying disclosure policies
in an electronic health information environment in an interoperable
manner. Overall, the DS4P initiative and its subsequent pilots focused
on the exchange of health information in the context of 42 CFR part 2
and sought to develop technical standards that would enable a provider
to adopt health IT that could segment electronic sensitive health
information regulated by more restrictive laws and make compliance with
laws like Part 2 more efficient. Since the sunset of the DS4P
initiative in April 2014, there have been live implementations and
public testimony regarding the success and practical application of the
DS4P standard. Organizations including the Substance Abuse and Mental
Health Services Administration (SAMHSA), the U.S. Department of
Veterans Affairs (VA), and private companies that participated in the
initiative have moved to production use of DS4P. For example, a
stakeholder who implemented the DS4P part 2 solution noted that the
DS4P technical capability implemented in parts of Florida has saved
some hospitals millions of dollars associated with the cost of care
because the patients they treat with substance use issues or behavioral
health issues were able to send an electronic referral and get a
discharge performed earlier in the process.\116\ Another technology
stakeholder incorporated the DS4P technical functionality into its
behavioral health and general hospital health IT solutions released
this year. Most recently, SAMHSA developed an open source technology
for patient consent management that uses the DS4P standard.\117\ In
September 2014, this technical solution was deployed into a live
environment at a public health department.
---------------------------------------------------------------------------
\114\ https://wiki.siframework.org/Data+Segmentation+for+Privacy+Use+Cases.
\115\ For more information about enabling privacy through data
segmentation technology, see https://www.healthit.gov/providers-professionals/enabling-privacy.
\116\ See Health IT Policy Committee's (HITPC) Privacy and
Security Tiger Team Public Meeting, Transcript, (Apr. 16, 2014), p.
14, https://www.healthit.gov/facas/sites/faca/files/PSTT_Transcript_Final_2014-04-16.pdf.
\117\ https://www.healthit.gov/providers-professionals/ds4p-initiative.
---------------------------------------------------------------------------
The technical specifications are outlined in the HL7 Version 3
Implementation Guide: DS4P, Release 1
[[Page 16841]]
(DS4P IG), Part 1: CDA R2 and Privacy Metadata.\118\ The DS4P IG
describes the technical means of applying security labels (privacy
metadata) which can be used to enact any security or privacy law,
regulation, or policy so that the appropriate access control decisions
will be made regarding downstream use, access or disclosure for
specially protected data so that appropriate metadata tags are applied.
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\118\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=354. Completed Normative Ballot in
January 2014 and was successfully reconciled in February 2014. HL7
approved the final standard for publication and ANSI approved in May
2014.
---------------------------------------------------------------------------
Conceptually, the DS4P approach utilizes metadata applied in layers
(e.g. metadata applied to the header, section, or entry levels of a C-
CDA document). The DS4P technical approach defaults to privacy metadata
tagging at the document level. If an organization chooses to apply
additional privacy metadata tagging within a document, that optional
technical capability is also described within the IG for CDA. If a
receiving system is unable to process section or entry level privacy
metadata, the default is tagging at the document level. The approach
relies on certain electronic actions being taken by both the sending
system and the receiving system. The sending system must:
1. Identify information that requires enhanced protection or is
subject to further restrictions;
2. Verify that the patient's privacy consent decision allows for
the disclosure of health information; \119\ and
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\119\ https://www.healthit.gov/providers-professionals/patient-consent-electronic-health-information-exchange.
---------------------------------------------------------------------------
3. Add privacy metadata to the health information being disclosed.
In turn, the receiving system must:
1. Be able to process the privacy metadata associated with the
received health information; and
2. Verify the patient's consent before re-disclosure, if the
receiving system has a need to re-disclose the information.
Data segmentation technology emerged to enable health care
providers' use of technology to comply with existing privacy laws,
regulations, and policies. The term ``data segmentation'' is often used
to describe the electronic labeling or tagging of a patient's health
information in a way that allows patients or providers to
electronically share parts,\120\ but not all, of a patient record. For
example, data segmentation technology can be applied to the sharing of
electronic sensitive health information, because that information is
afforded greater protections under various state and federal laws,\121\
as is discussed above. In this proposed rule, we propose to offer two
certification criteria that would allow for health IT to be presented
for testing and certification to the DS4P standard. We view the
proposed offering of certification to these criteria as an initial step
on technical standards towards the ability of an interoperable health
care system to compute and persist the applicable permitted access, use
or disclosure; whether regulated by state or federal laws regarding
sensitive health information or by an individual's documented choices
about downstream access to, or use or disclosure to others of, the
identifiable individual's health information. The application of the
DS4P standard at the document level is an initial step. We understand
and acknowledge additional challenges surrounding the prevalence of
unstructured data, sensitive images, and potential issues around use of
sensitive health information by CDS systems. The adoption of document
level data segmentation for structured documents will not solve these
issues, but will help move technology in the direction where these
issues can be addressed.
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\120\ The HL7 approved standard does allow for tagging at the
data element level, but this proposed rule is suggesting just
applying the DS4P to the document level.
\121\ https://www.healthit.gov/providers-professionals/patient-consent-electronic-health-information-exchange/health-information-privacy-law-policy.
---------------------------------------------------------------------------
For example, today, electronic sensitive health information is not
typically kept in the same repository as non-sensitive data. If
security labels were applied to C-CDA documents at the time they are
created (see ``data segmentation for privacy--send'' certification
criterion), the receiving system would have more choices about how to
store and use that sensitive information. If the receiving system had
the capability to grant access to the tagged documents by using the
security labels as part of the access control decision, then co-
mingling the tagged, sensitive health information with the non-
sensitive data becomes more achievable.
In July 2014, the HITPC provided recommendations on the use of DS4P
technology to enable the electronic implementation and management of
disclosure policies that originate from the patient, the law, or an
organization, in an interoperable manner, so that electronic sensitive
health information may be appropriately shared.\122\ The HITPC noted a
clear need to provide coordinated care for individuals with mental
health and/or behavioral health issues. The HITPC recognized that the
ability of patients to withhold consent to disclose information remains
a concern for providers. In particular, providers want to provide the
best care for patients, but they have concerns about incomplete records
due to both professional obligation and liability considerations. While
the need for providers to act on incomplete information is not
necessarily new, the use of health IT may create an expectation of more
complete information.\123\ In recognition of the consumer, business,
clinical, and technical complexities, the HITPC suggested a framework
of two glide paths for the exchange of 42 CFR part 2-protected data,
based on whether the subject is sending or receiving information.\124\
As a first step in the glide path, the HITPC recommended that we
include Level 1 (document level tagging) send and receive
functionality.\125\ Document level is the most basic level of privacy
metadata tagging described in the DS4P standard. The following two
proposals would implement the HITPC's recommendations.
---------------------------------------------------------------------------
\122\ See Health IT Policy Committee (HITPC) Recommendation
Letter to ONC, July 2014, https://www.healthit.gov/facas/sites/faca/files/PSTT_DS4P_Transmittal%20Letter_2014-07-03.pdf; see also
HITPC's Privacy and Security Tiger Team Public Meeting, Transcript,
May 12, 2014, https://www.healthit.gov/facas/sites/faca/files/PSTT_Transcript_Final_2014-05-12.pdf; Public Meeting, Transcript,
May 27, 2014, https://www.healthit.gov/facas/sites/faca/files/PSTT_Transcript_Final_2014-05-27.pdf.
\123\ Id.
\124\ For more details on the two glide paths for part 2-
protected data, see https://www.healthit.gov/facas/sites/faca/files/PSTT_DS4P_Transmittal%20Letter_2014-07-03.pdf.
\125\ Id. See also, related HITPC recommendations pertaining to
data segmentation submitted to ONC in September 2010: https://www.healthit.gov/sites/faca/files/hitpc_transmittal_p_s_tt_9_1_10_0.pdf.
---------------------------------------------------------------------------
Data Segmentation for Privacy--Send
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(b)(7) (Data segmentation for privacy--send)
------------------------------------------------------------------------
A provider currently cannot send sensitive patient information
electronically without some technical capability to indicate
information is subject to restrictions, such as a prohibition on re-
disclosure without consent, consistent with 42 CFR part 2. The sending
provider also must have confidence that the receiver can properly
handle electronically sent 42 CFR part 2-covered data. Because neither
of these functionalities are currently supported in certification,
sensitive health information such as 42 CFR part 2-covered data is
often only
[[Page 16842]]
shared via paper and fax. We propose, consistent with the HITPC
recommendations, that for certification to this criterion, a Health IT
Module must be able to send documents using document level tagging
(Level 1) in accordance with the DS4P IG. Document level tagging
enables health IT to send the 42 CFR part 2-covered data along with the
appropriate privacy metadata tagging and keep it sequestered from other
data. The DS4P IG, which includes Level 1 functionality, provides
guidance to allow, with proper authorization, a system to send a C-CDA
with tags indicating any restrictions (such as a prohibition on re-
disclosure without consent). While the DS4P IG specifies the technical
means for applying privacy metadata tagging to C-CDA documents, it also
optionally supports use of privacy metadata tagging within the document
(at the section and entry levels). We only propose to require the
document level functionality for sending as part of certification to
this criterion.
Data Segmentation for Privacy--Receive
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(b)(8) (Data segmentation for privacy--receive)
------------------------------------------------------------------------
In general, 42 CFR part 2-covered data is not currently provided
electronically to healthcare providers through electronic exchange.
Instead, the status quo remains to share 42 CFR part 2-covered data via
paper and fax. In line with the HITPC recommendations, we propose a
certification criterion that would require a Health IT Module to be
able to receive 42 CFR part 2-covered data in accordance with the DS4P
IG. DS4P at the document level (Level 1) of the recommendations allows
recipient health IT to receive, recognize, and view documents with
privacy metadata tagging indicating certain restrictions from 42 CFR
part 2 providers with the document sequestered from other health IT
data. A recipient provider could use document level tagging to
sequester the document from other documents received and help prevent
unauthorized re-disclosure, while allowing the sensitive data to flow
more freely to authorized recipients. Thus, consistent with the HITPC
recommendations, we propose that a Health IT Module be able to receive
documents tagged with privacy metadata tagging (Level 1).
Care Plan
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(b)(9) (Care plan)
------------------------------------------------------------------------
We propose to adopt a new 2015 Edition certification criterion that
would reflect a Health IT Module's ability to enable a user to record,
change, access, create and receive care plan information in accordance
with the ``Care Plan document template'' in the C-CDA Release 2.0
standard.
The S&I Framework Longitudinal Coordination of Care (LCC)
Longitudinal Care Plan Sub-Work Group defined a ``care plan'' as ``the
synthesis and reconciliation of the multiple plans of care produced by
each provider to address specific health concerns. It serves as the
blueprint shared by all participants to guide the individual's care. As
such, it provides the structure required to coordinate care across
multiple sites, providers, and episodes of care.'' \126\ The care plan
helps multiple providers and caregivers align and coordinate care,
which is especially valuable for patients living with chronic
conditions and/or disabilities. It also provides a structure to promote
the consideration of a patient's future goals and expectations in
addition to managing their currently active health issues.
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\126\ https://wiki.siframework.org/file/view/Care%20Plan%20Glossary_v25.doc/404538528/Care%20Plan%20Glossary_v25.doc.
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The C-CDA Release 2.0 contains a Care Plan document template that
reflects these principles and provides a structured format for
documenting information such as the goals, health concerns, health
status evaluations and outcomes, and interventions. Note that the Care
Plan document template is distinct from the ``Plan of Care Section'' in
previous versions of the C-CDA. The Care Plan document template
represents the synthesis of multiple plans of care (for treatment) for
a patient, whereas the Plan of Care Section represented one provider's
plan of care (for treatment). To make this distinction clear, the C-CDA
Release 2.0 has renamed the previous ``Plan of Care Section'' as the
``Plan of Treatment Section (V2).''
Given the value for improved coordination of care, we propose a new
2015 Edition certification criterion for ``care plan'' that would
require a Health IT Module to enable a user to record, change, access,
create, and receive care plan information in accordance with the ``Care
Plan document template'' in the HL7 Implementation Guide for
CDA[supreg] Release 2: Consolidated CDA Templates for Clinical
Notes.\127\ The IG provides guidance for implementing CDA documents,
including the Care Plan document template. The ``transitions of care''
certification criterion proposed elsewhere in this section of the
preamble would require a Health IT Module enable a user to send and
receive transitions of care/referral summaries according to the C-CDA
Release 2.0, which would include the Care Plan document template.
Therefore, this criterion would focus only on a Health IT Module's
ability to enable a user to record, change, access, create, and receive
care plan information. We welcome comment on our proposal, including
whether we should require certain ``Sections'' that are currently
deemed optional as part of the Care Plan document template for
certification to this criterion. For example, we invite comment on
whether we should require the optional ``Health Status Evaluations and
Outcomes Section'' and ``Interventions Section (V2)'' as part of
certification to this criterion, and if so, for what value/use case.
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\127\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=379.
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Clinical Quality Measures--Record and Export
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(c)(1) (Clinical quality measures--record and export)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition certification criterion for
``clinical quality measures (CQM)--record and export'' that is revised
in comparison to the 2014 Edition ``CQM--capture and export''
certification criterion (Sec. 170.314(c)(1)). In order to align with
our use of the term ``record'' used in other 2014 and 2015 Edition
certification criteria, we propose to call this certification criterion
``CQM--record and export.'' We explain the term ``record'' in the 2014
Edition final rule at 77 FR 54168.\128\ We propose to require that a
system user be able to export CQM data at any time the user chooses and
without subsequent developer assistance to operate. We also propose to
require that this certification criterion be part of the set of
criteria necessary to satisfy the ``2015 Edition Base EHR'' definition
(see also section III.B.1 of this preamble for a discussion of the
proposed 2015 Edition Base EHR definition). Last, we solicit comment on
the version of standards we should adopt for this certification
criterion.
---------------------------------------------------------------------------
\128\ ``Record'' is used to mean the ability to capture and
store information in technology.
---------------------------------------------------------------------------
Standards for Clinical Quality Measures
In the 2014 Edition ``CQM--capture and export'' certification
criterion, we require that technology must be able to export a data
file formatted in
[[Page 16843]]
accordance with the HL7 Implementation Guide for CDA Release 2: Quality
Reporting Document Architecture (QRDA), DSTU Release 2 (July 2012)
standard. We understand that the industry is working to harmonize both
clinical quality measurement and CDS standards through initiatives such
as the Clinical Quality Framework (CQF) S&I initiative. CDS guides a
clinician to follow a standard plan of care, while CQMs measure
adherence to a standard plan of care. Thus, these two areas are closely
related and would benefit from standard ways to reference patient data
within health IT as well as common logic to define a sub-population.
The CQF S&I initiative is working to define a shared format,
terminology, and logic between CQMs and CDS for improved efficiency,
cost, and quality of care.
In order to harmonize CQM and CDS standards, the industry is using
pieces of existing CQM standards (e.g., Health Quality Measures Format
(HQMF), QRDA Categories I and III, and the Quality Data Model (QDM))
and CDS standards (e.g., Clinical Decision Support Knowledge Artifact
Specification (also known as HeD Schema) and the Virtual Medical
Record). HL7 issued an errata (September 2014) \129\ that reflects
updates based on an incremental version of the harmonized CQM and CDS
standards (i.e., QDM-based HQMF Release 2.1).\130\ This errata is meant
to be used in conjunction with the July 2012 QRDA IG we adopted in the
2014 Edition. Our understanding is that the fully harmonized CQM and
CDS standards will be based on the Quality Improvement and Clinical
Knowledge (QUICK) data model,\131\ and that the industry expects to
ballot a QUICK FHIR-based DSTU serving the same function as the HQMF
standard at the May 2015 HL7 meeting. Subsequent standards for
electronically processing and reporting CQMs and CDS would then be
expected to be built on the QUICK data model, including a QRDA-like
standard based on the anticipated QUICK FHIR-based DSTU.
---------------------------------------------------------------------------
\129\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=35. Please note that in order to access
the errata, the user should download the ``HL7 Implementation Guide
for CDA Release 2: Quality Reporting Document Architecture--Category
I, DSTU Release 2 (US Realm)'' package.
\130\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=97.
\131\ https://www.hl7.org/special/Committees/projman/searchableProjectIndex.cfm?action=edit&ProjectNumber=1045.
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Given the timing of this proposed rule and the expected
deliverables for harmonized CQM and CDS standards as described above,
we solicit comment on the version of QRDA or the QRDA-like standards we
should adopt for this certification criterion. Specifically, we solicit
comment on the following three options:
HL7 Implementation Guide for CDA Release 2: Quality
Reporting Document Architecture (QRDA), DSTU Release 2 (July 2012);
HL7 Implementation Guide for CDA Release 2: Quality
Reporting Document Architecture (QRDA), DSTU Release 2 (July 2012) and
the September 2014 Errata; or
A QRDA-like standard based on the anticipated QUICK FHIR-
based DSTU.CQM standards we should adopt for this certification
criterion.
We anticipate that the QUICK data model will not be available to
review during the public comment period of this NPRM, and welcome
stakeholder input on the usefulness of adopting the current (July 2012)
QRDA standard alone or in conjunction with the September 2014 errata
given that we anticipate there will be harmonized CQM and CDS standards
available in mid-2015. We also seek to understand the tradeoffs
stakeholders perceive in adopting each standard provided that the EHR
Incentive Programs Stage 3 proposed rule is proposing that technology
certified to the 2015 Edition would not be required until January 1,
2018, but that technology certified to the 2015 Edition ``CQM--record
and export'' certification criterion would be needed for EPs, eligible
hospitals, and CAHs participating in the EHR Incentive Programs Stage 3
objectives and measures in 2017. Thus, we welcome input on recommended
QRDA standards for the ``CQM--record and export'' certification
criterion factoring in where the industry may be with adoption of CQM
and CDS standards over the next few years.
User Ability To Export CQM Data
We have received stakeholder feedback that some systems certified
to the 2014 Edition ``CQM--capture and export'' certification criterion
do not provide users with the ability to export data ``on demand'' nor
to export batches of multiple patients simultaneously. Rather, some
users of certified health IT must request this functionality from the
health IT developer. Our intent is that users should be able to export
CQM data formatted to the QRDA standard at any time the user chooses
for one or multiple patients and without additional assistance. Thus,
as proposed, when a Health IT Module is presented for certification to
this criterion, we would expect that testing of the Health IT Module
would include demonstration of a user's ability to export CQM data
without subsequent health IT developer assistance beyond normal
orientation/training.
Clinical Quality Measures--Import and Calculate
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criteria
Sec. 170.315(c)(2) (Clinical quality measures--import and calculate)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition certification criterion for
``clinical quality measures (CQM)--import and calculate'' that is
revised in comparison to the 2014 Edition ``CQM--import and calculate''
certification criterion (Sec. 170.314(c)(2)). We propose to require
that a system user be able to import CQM data at any time the user
chooses and without subsequent health IT developer assistance to
operate. We also no longer include an exemption that would allow a
Health IT Module presented for certification to all three CQM
certification criteria (Sec. Sec. 170.315(c)(1), (c)(2), and (c)(3))
to not have to demonstrate the data import capability. Last, we solicit
comment on our intended direction for testing and certifying health IT
and the version of standards we should adopt for this certification
criterion.
User Ability To Import CQM Data
We have received stakeholder feedback that some systems certified
to the 2014 Edition ``CQM--import and calculate'' certification
criterion do not provide users the ability to import data ``on
demand,'' and rather users must request this functionality from the
system developer or vendor. Our intent is that users should be able to
import CQM data formatted to the QRDA standard for one or multiple
patients at any time the user chooses and without additional
assistance. Thus, when a Health IT Module is presented for
certification to this criterion, we would expect that testing of the
Health IT Module would include demonstration of a user's ability to
import CQM data without subsequent health IT developer assistance
beyond normal orientation/training.
Import of CQM Data
For the 2014 Edition, we do not require systems that certify to
Sec. 170.314(c)(1) (CQM--capture and export), Sec. 170.314(c)(2)
(CQM--import and calculate), and Sec. 170.314(c)(3) (CQM--electronic
submission) to have to demonstrate that they can import data files in
accordance with the QRDA
[[Page 16844]]
standard. In 2012, we adopted this policy because we did not believe
that systems that could perform capture, export, and electronic
submission functions would need to import CQM data as they were in
essence ``self-contained'' (77 FR 54231). However, we have received
stakeholder input recommending that all systems should be able to
import CQM data and that there could be instances were a provider using
one technology to record CQM data could not subsequently import such
data into a different technology. We agree with this feedback.
Therefore, this exemption will no longer carry forward as part of the
proposed 2015 Edition version of this certification criterion. This
means that a Health IT Module presented for certification to this
certification criterion (Sec. 170.315(c)(2)) would need to be able to
demonstrate the ability to import data in order to be certified to this
certification criterion even if they also certify to provide ``record
and export'' and ``electronic submission/report'' functions.
Testing of Import and Calculate Functionalities
The testing procedures for the 2014 Edition ``CQM--import and
calculate'' certification criterion only test that technology can
import a small number of test records and use those for calculation of
CQM results. We have received feedback that technology should be able
to import a larger number of test records and that we should test this
ability to reflect real-world needs for technology. With the import of
a large number of records, technology also needs to be able to de-
duplicate records for accurate calculation of CQM results. Therefore
for testing and certification to the proposed 2015 Edition ``CQM--
import and calculate'' certification criterion, we intend for testing
to include that technology can import a larger number of test records
compared to testing for the 2014 Edition and automatically de-duplicate
them for accurate CQM calculation. We welcome comment on our proposed
intentions to test a larger number of test records compared to the 2014
Edition test procedure and that a Health IT Module could eliminate
duplicate records. We also request comment on the number of test
records we should consider testing a Health IT Module for performing
import and calculate functions.
Standards for Clinical Quality Measures
We describe above in the preamble for the proposed 2015 Edition
``CQM--record and export'' certification criterion our understanding of
the industry's timeline and expected deliverables for harmonized CQM
and CDS standards. Given the discussion above, we also solicit comment
on the QRDA standards we should consider adopting for this 2015 Edition
``CQM--import and calculate'' certification criterion.
Clinical Quality Measures--Report
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criteria
Sec. 170.315(c)(3) [Reserved]
------------------------------------------------------------------------
In the 2014 Edition, we adopted a ``CQM--electronic submission''
certification criterion that requires technology to enable a user to
electronically create a data file for transmission of CQM data in
accordance with QRDA Category I and III standards and ``that can be
electronically accepted by CMS'' (Sec. 170.314(c)(3)). We have
received stakeholder feedback recommending we better align our
certification policy and standards for electronically-specified CQM
(eCQM) reporting with other CMS programs that include eCQMs, such as
the Physician Quality Reporting System (PQRS) and Hospital Inpatient
Quality Reporting (IQR) programs. The PQRS and Hospital IQR programs
update their measure specifications on an annual basis through
rulemaking in the Physician Fee Schedule (PFS) and Inpatient
Prospective Payment Systems (IPPS) rules respectively.
To better align with the reporting requirements of other CMS
programs, we intend to propose certification policy for reporting of
CQMs in or with annual PQRS and/or Hospital IQR program rulemaking. We
anticipate we will propose standards for reporting of CQMs that reflect
CMS' requirements for the ``form and manner'' of CQM reporting (e.g.,
CMS program-specific QRDA standards), allowing for annual updates of
these requirements as necessary. Under this approach, the ``CQM--
report'' certification policy and associated standards for the 2015
Edition that support achieving EHR Incentive Program requirements would
be proposed jointly with the calendar year (CY) 2016 PFS and/or IPPS
proposed rules. We anticipate these proposed and final rules will be
published in CY 2015. We clarify that we anticipate removing
``electronic'' from the name of this certification criterion. As
described in the preamble, we expect that all functions proposed in the
2015 Edition certification criteria are performed or demonstrated
electronically. Thus, it is not necessary to specifically include this
requirement in the title of this certification criterion. We also
anticipate naming this certification criterion ``report'' instead of
``submission'' to better align with the language we use in other
certification criteria that also require demonstration of the same
functionality to submit data.
Clinical Quality Measures--Filter
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(c)(4) (Clinical quality measures--filter)
------------------------------------------------------------------------
We propose to adopt a new 2015 Edition certification criterion for
CQM filtering. In the Voluntary Edition proposed rule, we proposed a
new certification criterion that would require health IT to be able to
record structured data for the purposes of being able to filter CQM
results to create different patient population groupings by one or more
of a combination of certain patient characteristics \132\ (79 FR 10903-
04). We proposed this capability to support eCQM reporting where the
reporting entity is not an individual provider but rather a group
practice or an accountable care organization (ACO). We also proposed
certain patient characteristics that would support identification of
health disparities, help providers identify gaps in quality, and
support a provider in delivering more effective care to sub-groups of
their patients. We did not adopt this certification criterion in the
2014 Edition Release 2 final rule as we received comments recommending
we further refine the use cases and perform more analysis of which data
elements are being captured in standardized ways (79 FR 54462).
---------------------------------------------------------------------------
\132\ Practice site and address; Tax Identification Number
(TIN), National Provider Identifier (NPI), and TIN/NPI combination;
diagnosis; primary and secondary health insurance, including
identification of Medicare and Medicaid dual eligible; demographics
including age, sex, preferred language, education level, and
socioeconomic status.
---------------------------------------------------------------------------
CMS offers various options for providers to report quality data as
part of a group instead of individually reporting as individual
providers. For example, the PQRS offers the Group Practice Reporting
Option (GPRO) that allows for assessment and payment (or adjustment)
based on reporting of data on quality measures at the group level.
Similarly, there are group reporting options, including the GRPO under
the PQRS for reporting data used to assess quality for purposes of the
Value Modifier under the Medicare Physician Fee Schedule. Another CMS
group reporting option is the Comprehensive Primary Care (CPC)
initiative. In the CPC initiative, participating primary
[[Page 16845]]
care practices receive care management fees to support enhanced,
coordinated services. In the CPC initiative, each physical site
location is counted as a ``practice.'' A group practice may encompass
several primary care sites, of which some, but not all, are
participating in CPC. Because the unit of analysis in CPC is the
practice site, CMS requires all CPC participants to report CQMs at the
level of the practice rather than at the level of the individual
provider. Each CPC practice's quality results, which include
performance on patient experience and claims measures as well as CQMs,
are tied to the distribution of any Medicare shared savings calculated
and earned at the level of the Medicare population of each region
participating in the initiative.
ACO models and programs, such as the Medicare Shared Savings
Program (MSSP) and CMS Pioneer ACO Model, include groups of doctors,
hospitals, and other health care providers who come together
voluntarily to give coordinated high quality care to their patients. In
ACO models and programs, the providers that participate in the ACO
share responsibility for the care and outcomes of their patients. For
example, MSSP participants are rewarded if the ACO lowers the growth in
its health care costs while meeting performance standards on quality of
care. ACOs are required to internally report on cost and quality
metrics associated with the activities of their practitioners, to
promote the use of evidence-based medicine, and to support the care
coordination activities of their practitioners. Understanding the
practice patterns of individual practitioners for services provided on
behalf of the ACO is therefore important for such organizations.
In some cases, not all providers practicing at a particular
practice site location or in an ACO will be participating in the group
practice or ACO reporting options. The National Provider Identifier
(NPI) is insufficient by itself to attribute a provider's performance
to a particular group practice or ACO, as the provider could practice
in multiple health care organizations. Likewise, a health care
organization may have multiple Tax Identification Numbers (TINs).
Currently, data may be accessed by filtering on either the TIN or the
NPI, but not in combination due, in part, to current CMS reporting
requirements and limitations of health IT being used by providers. The
ability to filter by a combination of NPI/TIN could allow for more
specific and proper attribution of a provider's performance to the
correct organization for aggregating group practice or ACO quality
measure results.
Health IT should support an organization's ability to filter both
individual patient level and aggregate level eCQM results by data that
would support administrative reporting as well as identification of
health disparities and gaps in care for patients being treated at
particular group practice sites or in a given ACO. We, therefore,
propose a new certification criterion for CQM filtering that would
require health IT to be able to record data (according to specified
standards, where applicable) and filter CQM results at both patient and
aggregate levels by each one and any combination of the following data:
TIN;
NPI;
Provider type;
Patient insurance;
Patient age;
Patient sex in accordance with the standard specified in
Sec. 170.207(n)(1) (HL7 Version 3);
Patient race and ethnicity in accordance with the
standards specified in Sec. 170.207(f)(1) (OMB standard) and, at a
minimum, (f)(2) (``Race & Ethnicity--CDC'' code system in the PHIN
VADS);
Patient problem list data in accordance with, at a
minimum, the version of the standard specified in Sec. 170.207(a)(4)
(September 2014 Release of the U.S. Edition of SNOMED CT[supreg]); and
Practice site address.
We clarify that a Health IT Module must be able to filter by any
combination of the proposed data elements (i.e., by any one (e.g.,
provider type) or a combination of any of the data elements (e.g.,
combination of TIN and NPI or combination of all data)). We also note
that this combination requirement is different than other proposed
certification criteria in that it requires all combinations to be
demonstrated for certification and not just one. We anticipate that if
adopted, stakeholders may want to expand the list of data in this
certification criterion and support the reporting needs of additional
programs over time. Our intent with this proposal is to continue to
work with CMS and other stakeholders to ensure that this list of data
represents a common and relatively stable set across program needs in
support of program alignment.
For certain data elements, we have specified vocabulary standards
(as identified above) to maintain consistency in the use of adopted
national standards. As part of the 2014 Edition, technology is
certified to record patient race, ethnicity, and problem lists in
accordance with standards. In this proposed rule, for the
``demographics'' certification criterion and other criteria, we propose
to certify a Health IT Module to record patient sex, race, and
ethnicity in accordance with standards we propose to adopt as part of
the 2015 Edition. We also propose to certify a Health IT Module to the
record patient problem lists in accordance with the latest version of
the SNOMED CT[supreg] standard. Please refer to the proposed
``demographics'' and ``problem list'' certification criteria discussed
earlier in this section of the preamble for a more detailed discussion
about the standards. We are also aware that patient sex, race, and
ethnicity are being collected as supplemental data to the Quality
Reporting Data Architecture (QRDA) Category I and III files for eCQM
reporting to CMS. Collection of patient date of birth is currently
required as part of the 2014 Edition ``demographics'' certification
criterion, and is being proposed for the 2015 Edition ``demographics''
certification criterion. Therefore, we believe there should not be a
large developmental burden to enable a Health IT Module to record these
data because they are already being collected through policy
established in the 2014 Edition and/or are being proposed as part of
2015 Edition certification criteria discussed elsewhere in this
proposed rule.
We are aware that patient insurance can be collected using a payer
value set that denotes whether the patient has Medicare, Medicaid, and/
or another commercial insurance. We solicit comment on other payer
value sets that could be leveraged to support this proposal. We believe
that provider type could also inform quality improvement if there are
differences in quality measure results by different types of providers.
We are aware of the Healthcare Provider Taxonomy Code Set designed to
categorize the type, classification, and/or specialization of health
care providers.\133\ Health care providers applying for an NPI must
select a Healthcare Provider Taxonomy Code or code description during
the application process. We solicit comment on the appropriateness of
this code set for classifying provider types as well as other standards
that could be used classify provider types.
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\133\ https://www.cms.gov/Medicare/Provider-Enrollment-and-Certification/MedicareProviderSupEnroll/Taxonomy.html
---------------------------------------------------------------------------
In order to support the identification of CQM results for a
particular practice, we propose to include practice site address in the
list of data. We note that
[[Page 16846]]
while this information may not be needed for CQM filtering at the ACO
level, certification would require that health IT enables a user to
record practice site address, but not dictate that a user must include
this information. We believe the industry is aware of the need to
identify a standard way to represent address. While such a standard is
being developed, we believe that to support group or practice
reporting, having the address is one of the key data elements that
would allow a provider using health IT to filter CQM results at the
practice or group level. We solicit comment on standards for collecting
address data that could be leveraged to support this functionality.
We solicit comment on the appropriateness of the proposed data
elements for CQM filtering, including whether they are being captured
in standardized vocabularies. We also solicit comment on additional
data elements that we should consider for inclusion and standardized
vocabularies that might be leveraged for recording this information in
health IT.
Authentication, Access Control, and Authorization
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(d)(1) (Authentication, access control, and authorization)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``authentication, access
control, and authorization'' certification criterion that is unchanged
in comparison to the 2014 Edition ``authentication, access control, and
authorization'' criterion (Sec. 170.314(d)(1)).
Auditable Events and Tamper-Resistance
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(d)(2) (Auditable events and tamper-resistance )
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``auditable events and tamper-
resistance'' certification criterion that is unchanged in comparison to
the 2014 Edition ``auditable events and tamper-resistance'' criterion
(Sec. 170.314(d)(2)). We seek comment, however, on two issues. In
August 2014, the HHS Office of Inspector General (OIG) released a
report entitled ``The Office of the National Coordinator for Health
Information Technology's Oversight of the Testing and Certification of
Electronic Health Records.'' \134\ In that report, the OIG found that
ONC approved test procedures did not address common security issues,
including ``logging emergency access or user privilege changes.'' The
OIG therefore recommended ``. . . that ONC work with NIST to strengthen
EHR test procedure requirements so that the ATCBs [ONC-Authorized
Testing and Certification Bodies] can ensure that EHR vendors
incorporate common security and privacy features into the development
of EHRs.'' \135\
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\134\ https://oig.hhs.gov/oas/reports/region6/61100063.pdf
\135\ https://oig.hhs.gov/oas/reports/region6/61100063.pdf
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The standards adopted at Sec. 170.210(e) and referenced by the
2014 Edition ``auditable events and tamper-resistance'' and ``audit
report(s)'' certification criteria require that technology must be able
to record audit log information as specified in sections 7.2 through
7.4, 7.6 and 7.7 of the standard adopted at 45 CFR 170.210(h). The
standard adopted at Sec. 170.210(h) is ASTM E2147.\136\ Section 7.6 of
ASTM E2147 specifies that audit log content needs to include the ``type
of action'' and references six ``actions:'' Additions, deletions,
change, queries, print, and copy. Section 7.7 requires that the audit
log record when patient data is accessed. So while not explicitly
referenced in section 7.6, the action of ``access'' or viewing of a
patient's information is also required to be recorded for
certification. Moreover, we clarify that an ``emergency access'' event
is expected to be recorded (just like any other access) in accordance
with section 7.7.
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\136\ https://www.astm.org/Standards/E2147.htm. The standard is
also incorporated by reference at 45 CFR 170.299(c)(1) and available
at the Office of the Federal Register.
---------------------------------------------------------------------------
Because it does not appear that the ASTM standard indicates
recording an event when an individual's user privileges are changed, we
seek comment on whether we need to explicitly modify/add to the overall
auditing standard adopted at 170.210(e) to require such information to
be audited or if this type of event is already audited at the point of
authentication (e.g., when a user switches to a role with increased
privileges and authenticates themselves to the system). We also seek
comments on any recommended standards to be used in order to record
those additional data elements.
In a 2013 report entitled ``Not All Recommended Safeguards Have
Been Implemented in Hospital EHR Technology (OEI-01-11-00570),'' \137\
the OIG recommended that ONC should propose a revision to this
certification criterion to require that EHR technology keep the audit
log operational whenever the EHR technology is available for updates or
viewing or, alternatively, CMS could update its meaningful use criteria
to require providers to keep the audit log operational whenever EHR
technology is available for updates or viewing.\138\ As a result of
that report, in the Voluntary Edition proposed rule, we proposed an
``auditable events and tamper resistance'' certification criterion that
would have required technology to prevent all users from being able to
disable an audit log. While several commenters supported the proposal,
an equal share expressed concern, including the HITSC. The HITSC
recommended against implementing this proposal, indicating that the
requirements of the 2014 Edition certification criterion (identifying
only a limited set of users that could disable the audit log and
logging when and by whom an audit log was disabled and enabled)
provided sufficient parameters to determine the accountable party in
the event of a security incident.\139\ Other commenters contended that
including an absolute prohibition would be problematic because there
are valid and important reasons for users to disable the audit log,
including allowing a system administrator to disable the audit log for
performance fixes, stability, disaster recovery, and system updates or
allowing a system administrator to disable it when there is rapid
server space loss which is hindering a provider from accessing needed
clinical information in a timely manner.
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\137\ https://oig.hhs.gov/oei/reports/oei-01-11-00570.pdf.
\138\ https://oig.hhs.gov/oei/reports/oei-01-11-00570.pdf.
\139\ https://www.healthit.gov/FACAS/sites/faca/files/Baker_PSWG_2015editionnprm_public_comment_V2.pdf.
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We reiterate our policy first espoused with the adoption of the
2014 Edition ``auditable events and tamper resistance'' certification
criterion in that the ability to disable the audit log must be
restricted to a limited set of users to meet this criterion. The
purpose of this certification criterion is to require health IT to
demonstrate through testing and certification that it has certain
security capabilities built in. As we have evaluated both OIG's input
and that of commenters, we believe our certification criterion is
appropriately framed within the parameters of what our regulation can
reasonably impose as a condition of certification. This regulation
applies to health IT and not to the people who use it. Thus, how an
individual provider or entity chooses to ultimately implement health IT
that has been certified to this or any other certification criterion
does so outside the scope of this regulation.
[[Page 16847]]
We also received feedback to the Voluntary Edition proposed rule
that there may be some events recorded in the audit log that may be
more critical to record than other events. Commenters noted that there
may be a critical subset of events that should remain enabled at all
times, while other events could be turned off during critical times or
for system updates by a subset of users. As noted above, the standards
adopted at Sec. 170.210(e) and referenced by the 2014 Edition
``auditable events and tamper-resistance'' certification criterion
requires that health IT technology must be able to record additions,
deletions, changes, queries, print, copy, access. The 2014 Edition also
required the log to record when the audit log is disabled and by whom
and that such capability must be restricted to a limited set of
identified users. As a result, we again seek comment on whether:
There is any alternative approach that we could or should
consider;
There is a critical subset of those auditable events that
we should require remain enabled at all times, and if so, additional
information regarding which events should be considered critical and
why; and
Any negative consequences may arise from keeping a subset
of audit log functionality enabled at all times.
Audit Report(s)
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(d)(3) (Audit report(s))
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``audit reports(s)''
certification criterion that is unchanged in comparison to the 2014
Edition ``audit reports(s)'' criterion (Sec. 170.314(d)(3)).
Amendments
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(d)(4) (Amendments)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``amendments'' certification
criterion that is unchanged in comparison to the 2014 Edition
``amendments'' criterion (Sec. 170.314(d)(4)). We note that this
certification criterion only partially addresses the amendment of
protected health information (PHI) requirements of 45 CFR 164.526.
Automatic Access Time-Out
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(d)(5) (Automatic access time-out)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``automatic access time-out''
certification criterion that is unchanged (for the purposes of gap
certification) in comparison to the 2014 Edition ``automatic log-off''
criterion (Sec. 170.314(d)(5)). The 2014 Edition ``automatic log-off''
criterion requires a Health IT Module to ``prevent a user from gaining
further access to an electronic session after a predetermined time of
inactivity.'' In June 2014, the Privacy and Security Workgroup (PSWG)
of the HITSC assessed the automatic log-off criterion.\140\ While the
2014 Edition criterion refers to ``sessions,'' the PSWG noted the need
to recognize that many systems are not session-based. Instead, systems
may be stateless, clientless, and/or run on any device. The PSWG
further noted that the risk that this criterion addresses is the
potential that protected health information could be disclosed through
an unattended device. The HITSC recommended that this certification
criterion should not be overly prescriptive so as to inhibit system
architecture flexibility.
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\140\ https://www.healthit.gov/facas/sites/faca/files/HITSC_PSWG_2015NPRM_Update_2014-06-17.pdf.
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To clarify this intent and eliminate the reference to ``session,''
the PSWG suggested to the HITSC that this criterion by refined to state
``automatically block access to protected health information after a
predetermined period of inactivity through appropriate means until the
original user re-authenticates or another authorized user
authenticates.'' We agree in substance with the PSWG work and HITSC
recommendations. Accordingly, we propose a 2015 Edition ``automatic
access time-out'' certification criterion that reflects the HITSC
recommendations and the work of the PSWG. Specifically, the criterion
would require a Health IT Module to demonstrate that it can
automatically stop user access to health information after a
predetermined period of inactivity and require user authentication in
order to resume or regain the access that was stopped. We note,
however, that we do not believe this would have any impact on testing
and certification as compared to testing and certification to the 2014
Edition ``automatic log-off'' criterion (i.e., the 2015 ``automatic
access time-out'' criterion would be eligible for gap certification).
We welcome comments on this assessment.
Emergency Access
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(d)(6) (Emergency access)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``emergency access''
certification criterion that is unchanged in comparison to the 2014
Edition ``emergency access'' criterion (Sec. 170.314(d)(6)).
End-User Device Encryption
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(d)(7) (End-user device encryption)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``end-user device encryption''
certification criterion that is unchanged (for the purposes of gap
certification) in comparison to the 2014 Edition ``end-user device
encryption'' criterion (Sec. 170.314(d)(7)). We propose to require
certification to this criterion consistent with the most recent version
of Annex A: Approved Security Functions (Draft, October 8, 2014) for
Federal Information Processing Standards (FIPS) Publication 140-2.\141\
The purpose of this document is to provide a list of the approved
security functions applicable to FIPS PUB 140-2. To maintain and update
our certification requirements to the most recent NIST-approved
security functions, we propose to move to the updated version of Annex
A (Draft, October 8, 2014). We proposed to adopted this updated version
of Annex A at Sec. 170.210(a)(3). We note, however, that we do not
believe that this would have any impact on testing and certification as
compared to testing and certification to the 2014 Edition ``end-user
device encryption'' criterion (i.e., the 2015 ``end-user device
encryption'' criterion would be eligible for gap certification). We
welcome comments on this assessment.
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\141\ https://csrc.nist.gov/publications/fips/fips140-2/fips1402annexa.pdf.
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Integrity
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(d)(8) (Integrity)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``integrity'' certification
criterion that is unchanged in comparison to the 2014 Edition
``integrity'' criterion (Sec. 170.314(d)(8)). However, we propose a
change in how a Health IT Module would be tested and certified to this
criterion. The 2011 and 2014 editions of this criterion have been
available for individual testing and certification. We propose that the
2015 Edition ``integrity'' criterion would be tested and certified to
support the context for which it was adopted--upon receipt of a summary
record in order to ensure the integrity of the information exchanged
[[Page 16848]]
(see Sec. 170.315(d)(8)(ii)). Therefore, we expect that this
certification criterion would most frequently be paired with the ToC
certification criterion for testing and certification.
In the 2014 Edition propose rule, we sought comment on whether we
should leave the standard for the 2014 Edition ``integrity''
certification criterion as SHA-1 \142\ or replace it with SHA-2,\143\
as SHA-2 is a much stronger security requirement. In the 2014 Edition
final rule (77 FR 54251), we determined that the SHA-1 standard should
serve as a floor and technology could be certified to the 2014 Edition
``integrity'' certification criterion if it included hashing algorithms
with security strengths equal to or greater than SHA-1. We also noted
that the Direct Project specification requires that SHA-1 and SHA-256
(one type of SHA-2 hash algorithms) be supported, which still remains
the case today.
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\142\ https://csrc.nist.gov/publications/fips/fips180-4/fips-180-4.pdf.
\143\ https://csrc.nist.gov/publications/fips/fips180-4/fips-180-4.pdf.
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It is our understanding that many companies, including Microsoft
and Google, plan to sunset (deprecate) SHA-1 no later than January 1,
2017.\144\ While the SHA-1 standard serves as the baseline standard for
certification to the proposed 2015 Edition ``integrity'' certification
criterion and health IT could be certified to a security strength
greater than SHA-1 (e.g., SHA-2), we seek comments on if, and when, we
should set the baseline for certification to the 2015 Edition
``integrity'' certification criterion at SHA-2. For example, we could
adopt and move to SHA-2 as the baseline certification requirement with
the effective date of a subsequent file rule. This would likely be in
late 2015 (considering the start of testing and certification), and
consistent with the current trajectory of the industry in this area.
Alternatively, we could set an effective date within the criterion for
when the baseline for certification would shift from SHA-1 to SHA-2
(e.g., beginning 2017).
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\144\ https://www.symantec.com/en/au/page.jsp?id=sha2-transition.
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Accounting of Disclosures
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(d)(9) (Accounting of disclosures)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``accounting of disclosures''
certification criterion that is unchanged in comparison to the 2014
Edition ``accounting of disclosures'' criterion (Sec. 170.314(d)(9)).
We note that the 2015 Edition criterion is no longer designated
``optional'' because such a designation is no longer necessary given
that we have discontinued the Complete EHR definition and Complete EHR
certification beginning with the 2015 Edition health IT certification
criteria.
View, Download, and Transmit to 3rd Party (VDT)
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(e)(1) (View, download, and transmit to 3rd party)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``VDT'' criterion that is
revised in comparison to the 2014 Edition ``VDT'' criterion (Sec.
170.314(e)(1)).
Clarified Introductory Text for 2015 Edition VDT Certification
Criterion
In the Voluntary Edition proposed rule, we proposed to make
clarifying changes to the introductory text at Sec. 170.315(e)(1) to
make it clear that this health IT capability is patient-facing and for
patients to use. Commenters generally supported clarifying the
introductory text of VDT. Commenters stressed the importance of
allowing authorized representatives the ability to perform the VDT
functionality. However, due to our approach to only finalize a subset
of modifications in the 2014 Edition Release 2 final rule, we chose not
to make that revision in the 2014 Edition Release 2 final rule.
Therefore, we again propose to revise the introductory text to lead
with ``Patients (and their authorized representatives) must be able to
use health IT to . . .'' We also propose to use this same phrase at the
beginning of each specific capability for VDT to reinforce this point.
We note that this proposed requirement included in this criterion does
not override an individual's right to access protected health
information (PHI) in a designated record set under 45 CFR 164.524.
Common Clinical Data Set, Updated C-CDA, and Diagnostic Image Reports
We propose to include an updated Common Clinical Data Set for the
2015 Edition that includes references to new and updated vocabulary
standards code sets. Please also see the Common Clinical Data Set
definition proposal in section III.B.3 of this preamble. For the same
reasons discussed in the proposed 2015 Edition ToC certification
criterion, we also propose to reference the updated version of the C-
CDA (Draft Standard for Trial Use, Release 2.0) for this certification
criterion; and note, for the reasons discussed under the 2015 ToC
certification criterion, compliance with Release 2.0 cannot include the
use of the ``unstructured document'' document-level template for
certification to this criterion.
We also propose that a Health IT Module must demonstrate that it
can make diagnostic image reports available to the patient in order to
be certified. A diagnostic imaging report contains a consulting
specialist's interpretation of image data. It is intended to convey the
interpretation to the referring (ordering) physician, and becomes part
of the patient's medical record. We believe it is important to include
this information in a patient's record to improve care. Therefore, we
propose to include diagnostic imaging reports in the certification
criterion as something a Health IT Module must be able to make
accessible to patients. Again, to prevent any misinterpretation, we
reiterate for stakeholders that this proposed rule and proposed
certification criterion apply to a Health IT Module with regard to what
must be demonstrated for the Health IT Module to be certified and does
not govern its use.
We request comment on whether we should require testing and
certification for the availability of additional patient data through
the view, download, transmit, and API (discussed below) capabilities.
For example, should patient data on encounter diagnoses, cognitive
status, functional status, or other information also be made available
to patients (or their authorized representatives) through these
capabilities? Additionally, similar to our proposals for the data
portability certification criterion, we request comment on including
requirements in this criterion to permit patients (or their authorized
representatives) to select their health information for, as applicable,
viewing, downloading, transmitting, or API based on a specific date or
time (e.g., on 10/24/2015), a period of time (e.g., the last 3 years),
or all the information available.
VDT--Application Access to Common Clinical Data Set
To complement the API capabilities in the proposed ``Application
Access to Common Clinical Data Set'' criterion at Sec. 170.315(g)(7),
which are intended to be used by health IT purchasers in the context of
providing application access to the Common Clinical Data Set, we also
propose to require that the same capabilities be met as part of the
2015 Edition VDT certification criterion. While in some respects it
could be argued that repeating these capabilities in the VDT
certification criterion are duplicative, we believe the contexts under
which the capabilities proposed by this criterion and proposed at
[[Page 16849]]
Sec. 170.315(g)(7) would be used and the contexts under which
certification to this criterion would be sought are distinct enough to
warrant this repetition (i.e., in some cases a health IT developer may
seek certification solely to this criterion). In recognition of the
fact that some health IT developers will choose to build a more tightly
integrated system that could rely on the same underlying capabilities
developed to meet Sec. 170.315(g)(7), we clarify that health IT
developers could provide the information necessary to satisfy the
``documentation'' and ``terms of use'' requirements in Sec.
170.315(e)(1)(iii)(D) and (E) of this criterion and Sec.
170.315(g)(7)(iv) and (v) only once so long as the information
addresses any potential technical differences in the application access
capabilities provided (e.g., a RESTful web service for Sec.
170.315(e)(1) versus a SOAP web service for Sec. 170.315(g)(7)). As
proposed as part of certification in conjunction with Sec.
170.315(g)(7), we similarly propose for this criterion to require ONC-
ACBs to submit a hyperlink (as part of a product certification
submission to the CHPL) that would allow any interested party to access
the API's documentation and terms of use. This hyperlink would first
need to be provided by the health IT developer to the ONC-ACB.
Including these capabilities in the VDT certification criterion
could address several aspects that currently pose challenges to
individuals (and their families) accessing their health information
(e.g., multiple ``portals''). Additionally, we have coordinated with
CMS to have the proposed meaningful use measure for VDT revised to
allow for responses to data requests executed by the API functionality
to count in the measure's numerator (please see the EHR Incentive
Programs Stage 3 proposed rule published elsewhere in this issue of the
Federal Register). This combination of technological capability and
measurement flexibility could enhance an individual's ability to
converge their data in the application of their choice. Furthermore, by
including these capabilities in this criterion, we ensure that health
IT developers who seek certification only to this criterion but not
(g)(7) because of their market focus, will equally be required to
include an API available as part of their technology.
We note that readers should also review the proposed ``API''
certification criterion in this section of the preamble for requests
for comments that may impact the finalization of the API proposal
included in this certification criterion. For example, we request
public comment on what additional requirements might be needed to
ensure the fostering of an open ecosystem around APIs so that patients
can share their information with the tools, applications, and platforms
of their own choosing.
Activity History Log
In the Voluntary Edition proposed rule, we proposed to include two
new data elements for the activity history log: transmission status and
addressee. Due to the approach we took with the 2014 Edition Release 2
final rule, we did not finalize either proposal. However, we received
support for our proposal to include the addressee as a data element in
the history log. Therefore, we propose to include ``addressee'' as a
new data element in the 2015 Edition VDT criterion related to the
activity history log. Although the 2014 Edition VDT criterion requires
that the action of ``transmit'' be recorded, we did not specify that
the intended destination be recorded. We believe this transactional
history is important for patients to be able to access, especially if a
patient actively transmits their health information to a 3rd party or
another health care provider.
Patient Access to Laboratory Test Reports
In February 2014, CMS, the CDC, and the Office for Civil Rights
(OCR) issued a final rule that addressed the interplay between the CLIA
rules, state laws governing direct patient access to their laboratory
test reports, and the HIPAA Privacy Rule.\145\ The final rule permits
laboratories to give a patient, a patient's ``personal
representative,'' or a person designated by the patient, as applicable,
access to the patient's completed test reports upon the patient's or
patient's personal representative's request.\146\ The final rule also
eliminated the exception under the HIPAA Privacy Rule to an
individual's right to access his or her protected health information
when it is held by a CLIA-certified or CLIA-exempt laboratory. While
patients can continue to get access to their laboratory test reports
from their doctors, these changes give patients a new option to obtain
their test reports directly from the laboratory while maintaining
strong protections for patients' privacy.
---------------------------------------------------------------------------
\145\ CMS is generally responsible for regulatory laboratory
oversight under CLIA, while CDC provides scientific and technical
advice to CMS related to CLIA and OCR administers the Health
Insurance Portability and Accountability Act of 1996 (HIPAA) Privacy
Rule.
\146\ https://www.federalregister.gov/articles/2014/02/06/2014-02280/clia-program-and-hipaa-privacy-rule-patients-access-to-test-reports.
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We seek to ensure that the test reports that are delivered by
providers to patients through the VDT capabilities adhere to the CLIA
test reporting requirements and, therefore, propose that a Health IT
Module presented for certification to this criterion must demonstrate
that it can provide patient laboratory test reports that include the
information for a test report specified in 42 CFR 493.1291(c)(1)
through (7); the information related to reference intervals or normal
values as specified in 42 CFR 493.1291(d); and the information for
corrected reports as specified in 42 CFR 493.1291(k)(2).
Web Content Accessibility Guidelines (WCAG)
We reaffirm for stakeholders that the proposed 2015 Edition VDT
criterion includes the WCAG 2.0 Level A (Level A) conformance
requirements for the ``view'' capability. This is the same requirement
we include in the 2014 Edition VDT criterion. We do, however, propose
to modify the regulatory text hierarchy at Sec. 170.204(a) to
designate this standard at Sec. 170.204(a)(1) instead of Sec.
170.204(a). This would also require the 2014 Edition VDT certification
criterion to be revised to correctly reference Sec. 170.204(a)(1). We
also seek comment on whether we should adopt WCAG 2.0 Level AA (Level
AA) conformance requirements for the ``view'' capability included in
the 2015 Edition VDT criterion (instead of Level A).
The most recent set of guidelines (WCAG 2.0) were published in 2008
\147\ and are organized under 4 central principles with testable
success criteria: Perceivable, Operable, Understandable, and Robust.
Each guideline offers 3 levels of conformance: A, AA, and AAA. Level A
conformance corresponds to the most basic requirements for displaying
Web content. Level AA conformance provides for a stronger level of
accessibility by requiring conformance with Level A success criteria as
well as Level AA specific success criteria. WCAG 2.0 Level AAA (Level
AAA) conformance comprises the highest level of accessibility within
the WCAG guidelines and includes all Level A and Level AA success
criteria as well as success criteria unique to Level AAA.
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\147\ https://www.w3.org/TR/WCAG20/.
---------------------------------------------------------------------------
In the 2014 Edition final rule (77 FR 54179) we considered public
comment and ultimately adopted Level A for accessibility, but indicated
our interest in raising this bar over time. As part of the Voluntary
Edition proposed rule, we again proposed that health IT be compliant
with Level AA for the
[[Page 16850]]
proposed VDT certification criterion. We received a limited and mixed
response to this proposal (79 FR 54465). In particular, some health IT
developers opposed the increased level citing the cost and burden to
reach Level AA, while others supported the move and offered no
concerns. In both cases, health IT developers noted that WCAG
conformance tools are somewhat sparse and that they have had difficulty
finding viable tools.
Level AA provides a stronger level of accessibility and addresses
areas of importance to the disabled community that are not included in
Level A. For example, success criteria unique to Level AA include
specifications of minimum contrast ratios for text and images of text,
and a requirement that text can be resized without assistive technology
up to 200 percent without loss of content or functionality. We
recognize that Level AA is a step up from Level A, but also note that
is has been nearly 3 years since we adopted Level A for the purposes of
certification to the ``view'' capability. Accordingly, we once again
request comment on the appropriateness of moving to Level AA for
certification of the ``view'' capability included in the 2015 Edition
VDT certification criterion.
We understand that there are not separate guidelines for ``mobile
accessibility'' and that mobile is considered by the W3C Web
Accessibility Initiative to be covered by the WCAG 2.0 guidelines.\148\
Further, we would note that in September 2013, the W3C published a
working group note consisting of ``Guidance on Applying WCAG 2.0 to
Non-Web Information and Communications Technologies (WCAG2ICT).'' \149\
We again request public comment (especially from health IT developers
that have sought or considered certification to the 2014 Edition VDT
certification criterion with a ``non-web'' application) on what, if
any, challenges exist or have been encountered when applying the WCAG
2.0 standards.
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\148\ https://www.w3.org/WAI/mobile/.
\149\ https://www.w3.org/TR/wcag2ict/.
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``Transmit'' Request for Comment
In the 2014 Edition Release 2 final rule, we modified the
``transmit'' portion of the 2014 Edition VDT certification criterion to
consistently allow for C-CDA ``content'' capabilities to be separately
certified from ``transport'' capabilities using Direct. In so doing, we
modified the transmit portion of the certification criterion to allow
it to be met in one of two ways: (1) Following the Direct Project
specification (for HISPs); or (2) following the Edge Protocol IG. Given
this change to ``transmit'' that we have duplicated in the proposed
2015 Edition VDT certification criterion and our proposal to include an
API capability as part of the proposed 2015 Edition VDT certification
criterion, we request comment on whether stakeholders believe that it
would be beneficial to include the Direct Project's Implementation
Guide for Direct Project Trust Bundle Distribution specification \150\
as part of certification to the first way described above (following
the Direct Project specification (for HISPs)) for the 2015 Edition VDT
certification criterion. This trust bundle specification's focuses on
``guidance on the packaging and distribution of Trust Bundles to
facilitate scalable trust between Security/Trust Agents (STAs).'' As we
understand, including this specification as part of certification could
enable patient-facing technology to be configured to trust externally
hosted bundles of S/MIME certificates. In addition, we have continued
to hear concerns regarding the difficulties related to exchanging
Direct messages across platforms and ``trust communities'' in the
context of patient-directed transmissions. Therefore, we also request
comments on whether any additional requirements are needed to support
scalable trust between STAs as well as ways in which ONC, in
collaboration with other industry stakeholders, could support or help
coordinate a way to bridge any gaps.
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\150\ https://wiki.directproject.org/file/view/Implementation+Guide+for+Direct+Project+Trust+Bundle+Distribution+v1.0.pdf.
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C-CDA Creation Capability Request for Comment
We request public comment on a potential means to provide explicit
implementation clarity and consistency as well as to further limit
potential burdens on health IT developers. Specifically, should we
limit the scope of C-CDA creation capability within this certification
criterion to focus solely on the creation of a CCD document template
based on the C-CDA Release 2.0? This approach could also have the
benefit of creating clear expectations and predictability for other
health IT developers who would then know the specific document template
implemented for compliance with this criterion.
C-CDA Data Provenance Request for Comment
We refer readers to the request for comment under the same heading
(``C-CDA Data Provenance Request for Comment'') in the ToC
certification criterion earlier in this section of the preamble
(section III). The request for comment focuses on the maturity of the
HL7 IG for CDA Release 2: Data Provenance, Release 1 (US Realm) (DSTU)
\151\ and its potential use in connection with the C-CDA.
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\151\ https://wiki.hl7.org/index.php?title=HL7_Data_Provenance_Project_Space and https://gforge.hl7.org/gf/project/cbcc/frs/?action=FrsReleaseBrowse&frs_package_id=240.
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Clinical Summary
We note that we are not proposing a 2015 Edition ``clinical
summary'' certification criterion because past versions of this
certification criterion were adopted in direct support of the EHR
Incentive Programs. The proposals found in the EHR Incentive Programs
Stage 3 proposed rule published elsewhere in this issue of the Federal
Register rely on patients being provided with the ability to view,
download, and transmit their health information via online access.
Therefore, we believe the capabilities included in the 2015 Edition
``view, download, and transmit to 3rd party'' certification criterion
appropriately and sufficiently support the proposals of the EHR
Incentive Programs.
Secure Messaging
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(e)(2) (Secure messaging)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``secure messaging''
certification criterion that is unchanged in comparison to the 2014
Edition ``secure messaging'' criterion (Sec. 170.314(e)(3)).
Transmission to Immunization Registries
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(f)(1) (Transmission to immunization registries)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``transmission to immunization
registries'' certification criterion that is revised in comparison to
the 2014 Edition ``transmission to immunization registries'' criterion
(Sec. 170.314(f)(2)). We propose to adopt an updated IG, require
National Drug Codes (NDC) for recording administered vaccines, require
CVX codes for historical vaccines, and require a Health IT Module
presented for certification to
[[Page 16851]]
this criterion to be able to display an immunization history and
forecast from an immunization registry. These proposals are described
in more detail below.
Implementation Guide for Transmission to Immunization Registries
The 2014 Edition certification criterion for transmission to
immunization registries at Sec. 170.314(f)(2) references the following
IG for immunization messaging: HL7 Version 2.5.1: Implementation Guide
for Immunization Messaging, Release 1.4. Since the publication of the
2014 Edition final rule, the CDC has issued an updated IG (HL7 Version
2.5.1: Implementation Guide for Immunization Messaging, Release 1.5)
(October 2014) that promotes greater interoperability between
immunization registries and health IT. Release 1.5 focuses on known
issues from the previous release and revises certain HL7 message
elements to reduce differences between states and jurisdictions for
recording specific data elements. Specifically, Release 1.5: \152\
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\152\ https://www.cdc.gov/vaccines/programs/iis/technical-guidance/downloads/hl7guide-1-5-2014-11.pdf.
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Is organized into profiles, including separate profiles
for VXU and ACK (acknowledgement) messages;
Clarifies and tightens conformance statements;
Corrects ACK (acknowledgment) messages to support improved
messaging back to the EHR about the success/failure of a message; and
Includes query and response changes such as V2.7.1 MSH
user constraints, minimum requirements for a response message, and
corrected profiles for response to errors and no match situations.
We believe these improvements are important to the IG and will
continue to support our ultimate goal for this certification
criterion--bidirectional immunization data exchange. Given the
improvements included in the updated IG, we propose to adopt it at
Sec. 170.205(e)(4) and include it in the 2015 Edition ``transmission
to immunization registries'' certification criterion.
National Drug Codes for Administered Vaccinations
In the Voluntary Edition proposed rule, we solicited comment for
future editions on whether we should replace CVX codes for representing
vaccines with NDC codes,\153\ and on options for recording historical
immunizations (79 FR 10908-9). NDC codes offer a number of benefits
compared to CVX codes because:
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\153\ https://www.fda.gov/drugs/informationondrugs/ucm142438.htm.
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They can support pharmaceutical inventory management
within immunization registries and are built into the provider's
workflow;
Are built into 2D barcodes, which have been successfully
piloted for vaccines, and can improve quality and efficiency of data
entry of information such as vaccine lot and expiration date; and
Can improve patient safety with better specificity of
vaccine formulation.
NDC codes also include packaging information as well as support
linking to the unit of use and sale, whereas CVX codes do not provide
this information as efficiently. These data elements are important for
supporting vaccine inventory management.
Immunization registries are tightly linked to inventory management
functions. This is largely due to the administration of the Vaccines
for Children (VFC) program, a federally funded program that provides
vaccines at no cost to children who might not otherwise be vaccinated
because of inability to pay. CDC purchases vaccines at a discount and
distributes them to grantees, which are state health departments and
local and territorial public health agencies. The grantees distribute
the VFC vaccines at no charge to private providers' offices and public
health clinics registered as VFC providers. Because of the way this
program is administered, immunization registries, which are maintained
by public health agencies, have been developed to include vaccine
inventory functions that help the grantees and providers manage their
VFC vaccine stock. Due to the coupling of inventory functions within
registries, many systems that can transmit immunization information to
registries are also able to support these inventory management
functions. NDC codes are used by many immunization registries to order
vaccines and for inventory purposes.
We believe NDC codes for vaccines may be best suited to support
immunization inventory management, as well as for providing the
benefits stated above for 2D barcoding and patient safety. Both the HL7
Version 2.5.1: Implementation Guide for Immunization Messaging, Release
1.5 and the C-CDA Release 2.0 IG support coding of immunizations using
both CVX and NDC codes. CDC also provides a publicly available mapping
of NDC codes for vaccines to CVX codes.\154\
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\154\ https://www2a.cdc.gov/vaccines/iis/iisstandards/vaccines.asp?rpt=ndc. See also: https://www2a.cdc.gov/vaccines/iis/iisstandards/ndc_tableaccess.asp.
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NDC codes for vaccines include a portion that identifies the
product, and thus cannot be used to code historical vaccinations of
unknown formulation. Historical vaccinations are self-reported
vaccinations given prior to the office visit. Patients can report
historical vaccinations to providers without supporting documentation,
such as a written or electronic vaccination history, and therefore the
provider does not know the manufacturer and/or formulation of the
product. In terms of options for recording historical vaccinations of
unspecified/unknown formulation, we solicited comments on two options
in the Voluntary Edition proposed rule:
Option 1: Continue to use CVX codes for historical
vaccinations only;
Option 2: Use the NDC syntax and create a new value set
for the product portion of the code for vaccines of unspecified formula
(e.g., influenza vaccine of unspecified formula) for historical
vaccinations (resulting in an ``NDC-like'' code).
The majority of commenters were opposed to Option 2 for creating an
``NDC-like'' code. Commenters believed it would add complexity to
coding NDC codes and be burdensome to maintain in the long-term. We
agree with commenters and therefore believe Option 1 is a more viable
solution for recording historical vaccinations. We believe health IT
should be able to record historical vaccinations to provide the most
complete record possible for a provider to use in determining which
vaccines a patient may need.
We received comments that recommended we consider moving to
RxNorm[supreg] codes for immunizations. However, RxNorm[supreg] does
not support inventory management nor does it support recording
historical vaccinations. Therefore, we do not believe RxNorm[supreg] is
the best available option for coding vaccinations at this time.
We also received public comment that, in certain circumstances, NDC
codes can be reused. Commenters expressed concerned about potential
confusion for vaccine products when NDC codes are reused. In
consultation with FDA, we understand that FDA does not intend to allow
reuse of NDC codes for vaccine products going forward. Thus, we do not
believe that reuse of NDC codes will be an issue for vaccine coding.
Given the discussion above on the benefits of NDC codes for coding
vaccinations and in consideration of public comment, we propose to
require for certification that a Health IT Module be able to
electronically create
[[Page 16852]]
immunization information for electronic transmission to immunization
registries using NDC codes for vaccines administered (i.e., the
National Drug Code Directory--Vaccine Codes, updates through January
15, 2015 \155\). For historical vaccines, we propose to continue the
use of CVX codes and propose to adopt the HL7 Standard Code Set CVX--
Vaccines Administered, updates through February 2, 2015,\156\ as the
baseline version for certification to the 2015 Edition. We refer
readers to section III.A.2.d (``Minimum Standards'' Code Sets) for
further discussion of our proposal to adopt the National Drug Code
Directory--Vaccine Codes as a minimum standards code set and the
``January 15, 2015 version,'' or potentially a newer version if
released before a subsequent final rule, as the baseline for
certification to the 2015 Edition. We also refer readers to section
III.A.2.d (``Minimum Standards'' Code Sets) for further discussion of
our adoption of CVX codes as a minimum standards code set and our
proposal to adopt the ``February 2, 2015 version,'' or potentially a
newer version if released before a subsequent final rule, as the
baseline for certification to the 2015 Edition.
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\155\ https://www2a.cdc.gov/vaccines/iis/iisstandards/ndc_tableaccess.asp.
\156\ https://www2a.cdc.gov/vaccines/iis/iisstandards/vaccines.asp?rpt=cvx.
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In addition to soliciting comments on this proposal, we solicit
comment on whether we should allow use of NDC codes for administered
vaccines as an option for certification, but continue to require CVX
codes for administered vaccines for the 2015 Edition. Allowing for
optional use of NDC codes for administered vaccines could provide
health IT developers and health care providers an implementation period
before we would consider requiring NDC codes for administered vaccines.
We also solicit comment on whether we should require CVX plus the HL7
Standard Code Set MVX--Manufacturers of Vaccines Code Set (October 30,
2014 version) \157\ as an alternative to NDC codes for administered
vaccines. MVX codes identify the manufacturer of a vaccine and support
recording the vaccine at the trade name level when paired with the CVX
code. MVX codes do not, however, independently include the trade name,
package, or unit of use/unit of sale. CVX codes plus MVX codes could
provide more information than CVX codes alone, but not as much
information as NDC codes. As part of this comment solicitation, we also
invite comments on the implementation burden for health IT developers
and health care providers of requiring CVX plus MVX codes versus NDC
codes for administered vaccines.
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\157\ https://www2a.cdc.gov/vaccines/iis/iisstandards/vaccines.asp?rpt=mvx.
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Immunization History and Forecast
In the Voluntary Edition proposed rule, we solicited comment on the
maturity of bidirectional immunization data exchange activities and
whether we should propose to include bidirectional immunization
exchange in our certification rules. Commenters supported inclusion of
bidirectional immunization data exchange. We understand that the HL7
Version 2.5.1: Implementation Guide for Immunization Messaging, Release
1.5 we are proposing to adopt for this criterion provides improvements
that support bidirectional exchange between health IT and immunization
registries, including segments for querying a registry, receiving
information, and sending a response to the registry. Additionally, we
received comments specifically recommending that immunization forecast
information and CDS guidance provide results in accordance with the
Advisory Committee on Immunization Practice's (ACIP) \158\
recommendations.
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\158\ https://www.cdc.gov/vaccines/acip/.
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We believe that bidirectional exchange between health IT and
immunization registries is important for patient safety and improved
care. Immunization registries can provide information on a patient's
immunization history to complement the data in the EHR. Immunization
registries also provide immunization forecasting recommendations
according to the ACIP's recommendations. This information allows for
the provider to access the most complete and up-to-date information on
a patient's immunization history to inform discussions about what
vaccines a patient may need based on nationally recommended
immunization recommendations.
Provided the discussion above, we propose that, for certification
to this criterion, a Health IT Module would need to enable a user to
request, access, and display a patient's immunization history and
forecast from an immunization registry in accordance with the HL7
Version 2.5.1: Implementation Guide for Immunization Messaging, Release
1.5. We welcome comment on this proposal. We also welcome comments on
whether we should include an immunization history information
reconciliation capability in this criterion and the factors we should
consider regarding the reconciliation of immunization history
information.
Exchange of the Common Clinical Data Set--NDC and CVX Codes
For transmission of immunization information across settings using
the C-CDA standard, NDC codes carry more information than CVX codes,
specifically for inventory management and safety functions (e.g., trade
name, package, and unit of use/unit of sale). For quality reporting of
immunization coverage data using the QRDA Category I standard,
inventory management data may not be needed, and therefore a CVX code
is sufficient for submission of quality reporting data. However, ONC is
supportive of moving towards collection of vaccine administration data
within the EHR with the patient's clinical data regardless of the
requirements in the QRDA Category I standard. We believe it is
appropriate to use mapping from NDC codes to CVX codes and a mapping
table is available.\159\ We understand that the C-CDA Release 2.0 can
support NDC codes as a translational data element, but the CVX code is
required to accompany it. The additional information NDC codes contain
could assist with vaccine tracking for clinical trials and adverse
events. Therefore, we propose in a later section of this rule to
include the representation of immunizations in both CVX codes and NDC
codes as part of the ``Common Clinical Data Set'' definition for
certification to the 2015 Edition. Please see section III.B.3 ``Common
Clinical Data Set'' of this preamble for further discussion of this
associated proposal. We note that this means that a Health IT Module
certified to certification criteria that include the Common Clinical
Data Set (e.g., the ToC criterion) must demonstrate the capability to
represent immunizations in CVX codes and NDC codes. This approach
ensures that health IT would be able to support a provider's attempt to
send immunization information that includes NDC information.
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\159\ https://www2a.cdc.gov/vaccines/iis/iisstandards/vaccines.asp?rpt=ndc. See also: https://www2a.cdc.gov/vaccines/iis/iisstandards/ndc_tableaccess.asp.
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Immunization Information Certification Criterion
In response to the Voluntary Edition proposed rule, we received
comments recommending we discontinue the ``immunization information''
certification criterion for future editions because the necessary data
elements are enumerated in the IG for reporting to immunization
registries required for the
[[Page 16853]]
``transmission to immunization registries'' criterion. These commenters
did not see any additional value in having a standalone certification
criterion for ``immunization information'' as the value lies in being
able to transmit the immunization message. We agree with these
comments. Therefore, we are not proposing an ``immunization
information'' criterion as part of the 2015 Edition. We welcome
comments on this approach.
Transmission to Public Health Agencies--Syndromic
Surveillance
------------------------------------------------------------------------
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2015 Edition EHR Certification Criterion
Sec. 170.315(f)(2) (Transmission to public health agencies--syndromic
surveillance)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition certification criterion for
transmission of syndromic surveillance to public health agencies that
is revised in comparison to the 2014 Edition version (Sec.
170.314(f)(3)) for the inpatient setting. We note, however, that this
proposed certification criterion is unchanged (for the purposes of gap
certification) for the ambulatory setting. As discussed in the 2014
Edition Release 2 final rule, we understand that ambulatory providers
may be using different methods for sending syndromic surveillance
information to public health agencies, including HL7 2.5.1 and query-
based messages (79 FR 54439-54441). It is our understanding that these
methods are still being implemented and refined within the industry and
the public health community. Therefore, given the varied adoption of
methods for transmitting syndromic surveillance information to public
health agencies from ambulatory settings, we propose to continue to
distinguish between ambulatory and emergency department, urgent care,
and inpatient settings.
Emergency Department, Urgent Care, and Inpatient Settings
We propose to adopt the PHIN Messaging Guide for Syndromic
Surveillance: Emergency Department, Urgent, Ambulatory Care, and
Inpatient Settings, Release 2.0, September 2014 (``Release 2.0'').\160\
Release 2.0 provides improvements over previous versions by:
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\160\ https://www.cdc.gov/phin/library/guides/SyndrSurvMessagGuide2_MessagingGuide_PHN.pdf
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Re-purposing of the HL7 2.5.1 messaging structure for all
type of messages/trigger events, and combining all specifications in
one profile;
Re-structuring chapters, making them more concise and
placing supporting information into Appendixes;
Adding more implementation comments and better field name
descriptions within segment profile attributes;
Making examples better aligned to the business process;
Adding new conformance statements that simplify testing of
messages;
Making more user-friendly navigation through the document
(adding a more detailed Table of Contents, updating a format of
implementation comments, etc.);
Simplifying collection and management of data by
addressing requests for only using a text format for the ``Chief
Complaint/Reason for Visit'' Data Element; and
Correcting errors that were discovered in Version 1.9.
We believe these improvements are important to the IG and will
continue to support interoperability and data exchange of syndromic
surveillance information. As we adopted Release 1.8 of the IG in 2012
for the 2014 Edition, we believe the industry has had sufficient time
to implement Release 1.8 and could benefit from the updates in Release
2.0. Release 2.0 also updates errors and known issues from Release 1.9
that commenters noted in response to the Voluntary Edition proposed
rule as discussed in the Voluntary Edition final rule (79 FR 54440).
Given the improvements included in Release 2.0 of the IG, we propose to
adopt it at Sec. 170.205(d)(4) and include it in the 2015 Edition
``transmission to public health agencies--syndromic surveillance''
certification criterion for emergency department, urgent care, and
inpatient settings.
Ambulatory Syndromic Surveillance
We propose to permit, for ambulatory setting certification, the use
of any electronic means for sending syndromic surveillance data to
public health agencies as well as optional certification to certain
syndromic surveillance data elements. In the 2014 Edition Release 2
final rule, we adopted a certification criterion for ambulatory
syndromic surveillance at Sec. 170.314(f)(7) that permits use of any
electronic means of sending syndromic surveillance data to public
health agencies for ambulatory settings (79 FR 54440-01). We adopted
this criterion to provide EPs under the EHR Incentive Programs to meet
the Stage 2 syndromic surveillance objective with the use of CEHRT.
Because there were no IGs to support HL7 2.5.1 messaging or query-based
syndromic surveillance for ambulatory settings, we expanded our policy
to provide more flexibility to EPs to meet the syndromic surveillance
objective.
As part of the 2014 Edition criterion, we also provide the option
for technology presented for certification to demonstrate that it can
electronically produce syndromic surveillance information that contains
patient demographics, provider specialty, provider address, problem
list, vital signs, laboratory results, procedures, medications, and
insurance. Public health agencies and stakeholders that piloted query-
based models for transmitting ambulatory syndromic surveillance data
send all of these data elements. We offered this optional list of data
elements for certification to provide clarity and a path forward to
health IT developers on the data elements they should focus on for
creating syndrome-based public health transmissions in support of
query-based models, including any potential certification requirements
introduced through future rulemaking. Due to the continued lack of
mature IGs at this time, we propose to take the same approach for 2015
Edition syndromic surveillance certification for the ambulatory
setting.
Transmission to Public Health Agencies--Reportable
Laboratory Tests and Values/Results
------------------------------------------------------------------------
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2015 Edition Health IT Certification Criterion
Sec. 170.315(f)(3) (Transmission to public health agencies--reportable
laboratory tests and values/results)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition certification criterion that is
revised in comparison to the 2014 Edition ``transmission of reportable
laboratory tests and values/results'' criterion (Sec. 170.314(f)(4)).
We have named this criterion ``transmission to public health agencies--
reportable laboratory tests and values/results'' to clearly convey the
capabilities included in this criterion as they relate to the intended
recipient of the data. We propose to include and adopt an updated IG
for laboratory reporting to public health, an updated version of SNOMED
CT[supreg], and an updated version of LOINC[supreg]. We also propose to
make a technical amendment to the regulation text for the 2014 Edition
criterion in order to have it continue to reference the appropriate
standard and implementation specifications \161\ after we restructure
[[Page 16854]]
the regulatory text hierarchy at Sec. 170.205(g) to accommodate our
2015 Edition proposal.
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\161\ HL7 2.5.1 and HL7 Version 2.5.1: Implementation Guide:
Electronic Laboratory Reporting to Public Health, Release 1 with
Errata and Clarifications and ELR 2.5.1 Clarification Document for
EHR Technology Certification.
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CDC worked in conjunction with the HL7 Public Health Emergency
Response Workgroup to develop an updated IG (HL7 Version 2.5.1
Implementation Guide: Electronic Laboratory Reporting to Public Health,
Release 2 (US Realm), DSTU R1.1, 2014 or ``Release 2, DSTU R1.1'') that
address technical corrections and clarifications for interoperability
with laboratory orders and other laboratory domain implementation
guides. Specifically, ``Release 2, DSTU R1.1'': \162\
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\162\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=329.
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Corrects errata;
Updates Objective Identifiers;
Applies conformance statements from the LRI DSTU;
Provides technical corrections; and
Updates usage for consistent treatment of modifier fields.
As we adopted Release 1 of the IG in 2012 for the 2014 Edition, we
believe the industry has had sufficient time to implement Release 1 and
could benefit from the updates in ``Release 2, DSTU R1.1.'' Given the
improvements included in the updated IG (Release 2, DSTU R1.1), we
propose to adopt it at Sec. 170.205(g)(2) and include it in the 2015
Edition ``transmission of reportable laboratory tests and values/
results'' certification criterion at Sec. 170.315(f)(3). As noted
above, to properly codify this proposal in regulation, we would have to
modify the regulatory text hierarchy in Sec. 170.205(g) to designate
the standard and implementation specifications referenced by the 2014
Edition ``transmission of reportable laboratory tests and values/
results'' certification criterion at Sec. 170.205(g)(1) instead of its
current designation at Sec. 170.205(g).
We propose to include the September 2014 Release of the U.S.
Edition of SNOMED CT[supreg] and LOINC[supreg] version 2.50 in this
criterion. We refer readers to section III.A.2.d (``Minimum Standards''
Code Sets) for further discussion of our adoption of SNOMED CT[supreg]
and LOINC[supreg] as minimum standards code sets and our proposals to
adopt the versions cited above, or potentially newer versions if
released before a subsequent final rule, as the baselines for
certification to the 2015 Edition.
Transmission to Cancer Registries
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(f)(4) (Transmission to cancer registries)
------------------------------------------------------------------------
We propose to adopt a 2015 Edition ``transmission to cancer
registries'' certification criterion that is revised in comparison to
the 2014 Edition ``transmission to cancer registries'' certification
criterion (Sec. 170.314(f)(6)). We propose to adopt an HL7 version
cancer reporting IG, adopt an updated version of SNOMED CT[supreg], and
adopt an updated version of LOINC[supreg]. We also propose to make a
technical amendment to the regulation text for the 2014 Edition
certification criterion so that it continues to reference the
appropriate standard \163\ in the regulatory text hierarchy at Sec.
170.205(i), while accommodating our 2015 Edition proposal.
Specifically, we propose to modify the 2014 Edition certification
criterion to reference Sec. 170.205(i)(1) to establish the regulatory
text hierarchy necessary to accommodate the standard and IG referenced
by the proposed 2015 Edition certification criterion.
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\163\ Standard. HL7 Clinical Document Architecture (CDA),
Release 2.0, Normative Edition (incorporated by reference in Sec.
170.299). Implementation specifications. Implementation Guide for
Ambulatory Healthcare Provider Reporting to Central Cancer
Registries, HL7 Clinical Document Architecture (CDA), Release 1.0
(incorporated by reference in Sec. 170.299).
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The 2014 Edition ``transmission to cancer registries'' criterion at
Sec. 170.314(f)(6) references the following IG for cancer reporting:
Implementation Guide for Ambulatory Healthcare Provider Reporting to
Central Cancer Registries, HL7 Clinical Document Architecture (CDA),
Release 1.0. Since the publication of the 2014 Edition Final Rule, CDC
worked with HL7 to introduce the IG to the standards developing
organization processes. In doing so, an updated IG has been developed
to address technical corrections and clarifications for
interoperability with EHRs and cancer registries (HL7 Implementation
Guide for CDA(copyright) Release 2: Reporting to Public Health Cancer
Registries from Ambulatory Healthcare Providers Release 1 or ``HL7 IG
Release 1''). Specifically, HL7 IG Release 1: \164\
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\164\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=383.
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Aligns with C-CDA Release 2.0 templates, where possible;
Adds new data elements, including grade, pathologic TNM
stage,\165\ family history of illness, height and weight, discrete
radiation oncology items, planned medications, and planned procedures;
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\165\ The TNM Classification of Malignant Tumours (TNM) is a
cancer staging system that describes the extent of a person's
cancer.
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Changes optionality for some data elements in response to
cancer community input and to align with C-CDA Release 2.0 templates;
Improves documentation and aligns conformance statements
with table constraints;
Adds some new vocabulary links and a new reportability
list for ICD-10-CM;
Fixes some within-document references;
Fixes some LOINC[supreg] codes;
Fixes some Code System and Value Set Object Identifiers;
Fixes some conformance verbs;
Improves sample XML snippets;
Fixes some conformance verbs and data element names in
Appendix B ``Ambulatory Healthcare Provider Cancer Event Report--Data
Elements''; and
Fixes a value in the value set.
These improvements will continue to promote interoperability
between health IT and cancer registries for improved cancer case
reporting to public health agencies. As we adopted the non-HL7 Release
1 of the IG in 2012 for the 2014 Edition, we believe the industry has
had sufficient time to implement that IG and could benefit from the
updates in HL7 IG Release 1. Therefore, given the improvements that
will be included in HL7 IG Release 1 as described above, we propose to
adopt it at Sec. 170.205(i)(2) and include it in the proposed 2015
Edition ``transmission to cancer registries'' certification criterion.
We propose to include the September 2014 Release of the U.S.
Edition of SNOMED CT[supreg] and LOINC[supreg] version 2.50 in this
criterion. We refer readers to section III.A.2.d (``Minimum Standards''
Code Sets) for further discussion of our adoption of SNOMED CT[supreg]
and LOINC[supreg] as minimum standards code sets and our proposals to
adopt the versions cited above, or potentially newer versions if
released before a subsequent final rule, as the baselines for
certification to the 2015 Edition.
Cancer Case Information
In response to the Voluntary Edition proposed rule, we received
comments recommending we discontinue proposing and adopting a ``cancer
case information'' certification criterion for future editions because
the necessary data elements are enumerated in the IG for reporting to
cancer registries that we include in editions of ``transmission to
cancer registries'' criteria. We agree with this assessment. Therefore,
we are not proposing a 2015 Edition ``cancer case information''
certification criterion
[[Page 16855]]
similar to the one we adopted for the 2014 Edition. We welcome comments
on this approach.
Transmission to Public Health Agencies--Case Reporting
------------------------------------------------------------------------
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2015 Edition Health IT Certification Criterion
Sec. 170.315(f)(5) (Transmission to public health agencies--case
reporting)
------------------------------------------------------------------------
We propose to adopt a new certification criterion in the 2015
Edition for electronic transmission of case reporting information to
public health agencies.
Health IT standards continue to evolve to address new and emerging
use cases for health care. The utility of health IT for supplemental
purposes has been limited due to a lack of uniformity in the
terminology and definitions of data elements across health IT systems.
This limitation is compounded by the fact that provider workflow often
records patient information in unstructured free-text well after
episodes of care. Linking data in EHR systems with other data in a
uniform and structured way could accelerate quality and safety
improvement, population health, and research.
Toward this end, the S&I Structured Data Capture \166\ (SDC)
initiative is a multi-stakeholder group working on standards-based
architecture so that a set of structured data can be accessed from
health IT and stored for merger with comparable data for other relevant
purposes. The SDC initiative is developing a set of standards that will
enable health IT to capture and store structured data. These standards
will build upon and incorporate existing standards, including the IHE
Retrieve Form for Data Capture (RFD) profile. As part of this work, the
SDC initiative has developed a surveillance case report form for public
health reporting of notifiable diseases as part of the IHE Quality,
Research, and Public Health Technical Framework Supplement, Structured
Data Capture, Trial Implementation (September 5, 2014) standard.\167\
The case report form can be further specified and used to
electronically report vital statistics, vaccine adverse event
reporting, school/camp/daycare physical, early hearing detection and
intervention/newborn hearing screening, and cancer registry reporting,
among other public health reporting data.
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\166\ https://wiki.siframework.org/Structured+Data+Capture+Initiative.
\167\ https://www.ihe.net/uploadedFiles/Documents/QRPH/IHE_QRPH_Suppl_SDC.pdf.
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We believe that case reporting from health care providers to public
health agencies could be more real-time, structured, and efficient
through the use of the standard case report form that the SDC
initiative has developed. Therefore, we propose to adopt a
certification criterion for electronic transmission of case reporting
information to public health that would require a Health IT Module to
be able to electronically create case reporting information for
electronic transmission in accordance with the IHE Quality, Research,
and Public Health Technical Framework Supplement, Structured Data
Capture, Trial Implementation (September 5, 2014) standard, which we
propose to adopt at Sec. 170.205(q)(1). As mentioned above, this
standard and our proposal include compliance with other existing
standards. One such standard is the CDA Release 2.0, which is a
foundational standard for use in sending and receiving case reporting
information.
To note, for testing to this criterion, a Health IT Module would
need to demonstrate that it can create and send a constrained
transition of care document to a public health agency, accept a URL in
return, be able to direct end users to the URL, and adhere to the
security requirements for the transmission of this information.
We recognize that the Fast Health Interoperability Resource
(FHIR[supreg]) REST API and FHIR-based standard specifications will
likely play a role in an interoperable health IT architecture. FHIR
resources that implement SDC concepts and support the use of case
reporting to public health would likely play a role in that scenario.
The current HL7 FHIR Implementation Guide: Structure Data Capture
(SDC), Release 1 \168\ is a ``draft for comment'' with a DSTU ballot
planned for mid-2015. Given this trajectory, we solicit comment on
whether we should consider adopting the HL7 FHIR Implementation Guide:
SDC DSTU that will be balloted in mid-2015 in place of, or together
with, the IHE Quality, Research, and Public Health Technical Framework
Supplement. We are aware of a proposed HL7 working group known as the
Healthcare Standards Integration Workgroup that will collaborate on
FHIR resources considered co-owned with the IHE-HL7 Joint Workgroup
\169\ within IHE. The implementation guides created from the S&I SDC
Initiative is part of this joint workgroup's area of responsibility.
Therefore, we intend to work with these coordinated efforts to ensure a
complementary and coordinated approach for case reporting using SDC.
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\168\ https://hl7.org/implement/standards/FHIR-Develop/sdc.html.
\169\ https://wiki.ihe.net/index.php?title=IHE-HL7_Joint_Workgroup.
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Transmission to Public Health Agencies--Antimicrobial Use
and Resistance Reporting
------------------------------------------------------------------------
-------------------------------------------------------------------------
2015 Edition Health IT Certification Criterion
Sec. 170.315(f)(6) (Transmission to public health agencies--
antimicrobial use and resistance reporting)
------------------------------------------------------------------------
We propose to adopt a new 2015 Edition certification criterion for
transmission of antimicrobial use and resistance data to public health
agencies that would require a Health IT Module to be able to
electronically create antimicrobial use and resistance reporting
information for electronic transmission in accordance with specific
sections of the HL7 Implementation Guide for CDA [supreg] Release 2--
Level 3: Healthcare Associated Infection Reports, Release 1, U.S. Realm
(August 2013).
Collection and analysis of data on antimicrobial use and
antimicrobial resistance are important components of antimicrobial
stewardship programs throughout the nation and efforts by health care
organizations and public health agencies aimed at detecting,
preventing, and responding to resistant pathogens. Surveillance
provides vital data for use by health care facilities, local, state,
and federal agencies, research and development teams, policymakers, and
the public. Electronic submission of antimicrobial use and
antimicrobial resistance data to a public health registry can promote
timely, accurate, and complete reporting, particularly if data is
extracted from health IT systems and delivered using well established
data exchange standards to a public health registry. The HL7
Implementation Guide for CDA [supreg] Release 2--Level 3: Healthcare
Associated Infection Reports, Release 1--US Realm--August 2013 \170\
(``HAI IG'') is an ANSI-approved standard for electronic reporting of
antimicrobial use and antimicrobial resistance data to the CDC's
National Healthcare Safety Network (NHSN), the largest health care-
associated infection (HAI) reporting system in the United States with
over 9,000 health care facilities participating. The HAI IG provides
details for reporting from EPs, eligible hospitals, and CAHs.
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\170\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=20.
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We propose to test and certify a Health IT Module for conformance
with the following sections of the IG:
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HAI Antimicrobial Use and Resistance (AUR) Antimicrobial
Resistance Option (ARO) Report (Numerator) specific document template
in Section 2.1.2.1 (pages 69-72);
Antimicrobial Resistance Option (ARO) Summary Report
(Denominator) specific document template in Section 2.1.1.1 (pages 54-
56); and
Antimicrobial Use (AUP) Summary Report (Numerator and
Denominator) specific document template in Section 2.1.1.2 (pages 56-
58).
We propose to adopt these specific sections of the IG in Sec.
170.205(r)(1). Note that the specific document templates referenced
above include conformance to named constraints in other parts of the
IG, and we would expect a Health IT Module presented for certification
to this criterion to conform to all named constraints within the
specified document template.
Transmission to Public Health Agencies--Health Care
Surveys
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2015 Edition Health IT Certification Criterion
Sec. 170.315(f)(7) (Transmission to public health agencies--health
care surveys)
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We propose to adopt a new 2015 Edition certification criterion for
transmission of health care surveys to public health agencies. We
propose to adopt a certification criterion for transmission of health
care survey information to public health agencies that would require a
Health IT Module to be able to create health care survey information
for electronic transmission in accordance with the HL7 Implementation
Guide for CDA [supreg] Release 2: National Health Care Surveys (NHCS),
Release 1--US Realm, Draft Standard for Trial Use (December 2014),\171\
which we propose to adopt at Sec. 170.205(s)(1).
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\171\ https://www.hl7.org/implement/standards/product_brief.cfm?product_id=385.
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The National Ambulatory Medical Care Survey (NAMCS) is a national
survey designed to meet the need for objective, reliable information
about the provision and use of ambulatory medical care services in the
U.S. Findings are based on a sample of visits to non-federal employed
office-based physicians who are primarily engaged in direct patient
care.
The National Hospital Ambulatory Medical Care Survey (NHAMCS) is
designed to collect data on the utilization and provision of ambulatory
care services in hospital emergency and outpatient departments.
Findings are based on a national sample of visits to the emergency
departments and outpatient departments of general and short-stay
hospitals.
The kinds of data contained in this survey are:
Patient demographics such as date of birth, sex, race and
ethnicity;
Vital signs such as height, weight and blood pressure;
Reason for visit or chief complaint;
Diagnoses associated with the visit;
Chronic conditions that the patient has at the time of the
visit;
Procedures provided or ordered;
Diagnostic tests ordered or provided;
New or continued medications at the time of the visit; and
Other variables such as tobacco use, whether the provider
is the patient's primary care provider, how many times has the patient
been seen in the practice in the past 12 months, which type of
providers were seen at the visit, amount of time spent with the
provider, and visit disposition.
Automating the survey process using the CDA standard streamlines
the collection of data and increases the sample pool by allowing all
providers who want to participate in the surveys to do so. The HL7
Implementation Guide for CDA [supreg] Release 2: National Health Care
Surveys (NHCS), Release 1--US Realm, Draft Standard for Trial Use
(December 2014) defines the electronic submission of the data to the
CDC. We clarify that the IG is intended for the transmission of survey
data for both the NAMCS (e.g., for ambulatory medical care settings)
and NHAMCS (e.g., for hospital ambulatory settings including emergency
departments and outpatient departments). Templates included in this IG
align with the C-CDA standard. Additionally, the templates in this IG
expand on the scope of the original NAMCS and NHAMCS survey data
elements and do not constrain the data collected to the narrow lists on
the survey instruments; rather they allow any service, procedure or
diagnosis that has been recorded.
Automated Numerator Recording
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2015 Edition Health IT Certification Criterion
Sec. 170.315(g)(1) (Automated numerator recording)
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We propose to adopt a 2015 Edition ``automated numerator
recording'' certification criterion that is unchanged in comparison to
the 2014 Edition ``automated numerator recording'' criterion. We note,
however, that the test procedure for this criterion would be different
from the 2014 Edition ``automated numerator recording'' certification
criterion in order to remain consistent with the applicable objectives
and measures required under the EHR Incentive Programs.
Automated Measure Calculation
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2015 Edition Health IT Certification Criterion
Sec. 170.315(g)(2) (Automated measure calculation)
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We propose to adopt a 2015 Edition ``automated measure
calculation'' certification criterion that is unchanged in comparison
to the 2014 Edition ``automated measure calculation'' criterion. We
propose to apply the guidance provided for the 2014 Edition ``automated
measure calculation'' certification criterion in the 2014 Edition final
rule in that a Health IT Module must be able to support all CMS-
acceptable approaches for measuring a numerator and denominator in
order for the Health IT Module to meet the proposed 2015 Edition
``automated measure calculation'' certification criterion.\172\ We also
propose that the interpretation of the 2014 Edition ``automated measure
calculation'' certification criterion in FAQ 32 \173\ would apply to
the proposed 2015 Edition ``automated measure calculation''
certification criterion.
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\172\ 77 FR 54244-54245.
\173\ https://www.healthit.gov/policy-researchers-implementers/32-question-11-12-032.
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We note that the test procedure for this criterion would be
different from the 2014 Edition ``automated measure calculation''
certification criterion in order to remain consistent with the
applicable objectives and measures required under the EHR Incentive
Programs.
Safety-Enhanced Design
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2015 Edition Health IT Certification Criterion
Sec. 170.315(g)(3) (Safety-enhanced design)
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We propose to adopt a 2015 Edition ``safety-enhanced design'' (SED)
certification criterion that is revised in comparison to the 2014
Edition ``safety-enhanced design'' criterion. We propose to add
certification criteria to this criterion that we believe include
capabilities that pose a risk for patient harm and, therefore, an
opportunity for error prevention. We propose to provide further
compliance clarity for the data elements described in NISTIR 7742 \174\
that are required to be submitted as part of the summative usability
test results and to specifically include these data
[[Page 16857]]
elements as part of the certification criterion.
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\174\ https://www.nist.gov/manuscript-publication-search.cfm?pub_id=907312. NISTIT 7742 is a valid and reliable
publication for user-centered design processes.
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Certification Criteria Identified in the SED Criterion for UCD
Processes
We propose to include seventeen (17) certification criteria (seven
are new) in the 2015 Edition SED certification criterion, as listed
below (emphasis added for new criteria). For each of the referenced
certification criteria and their corresponding capabilities presented
for certification, user-centered design (UCD) processes must have been
applied in order satisfy this certification criterion.
Sec. 170.315(a)(1) Computerized provider order entry--
medications
Sec. 170.315(a)(2) Computerized provider order entry--
laboratory
Sec. 170.315(a)(3) Computerized provider order entry--
diagnostic imaging
Sec. 170.315(a)(4) Drug-drug, drug-allergy interaction
checks
Sec. 170.315(a)(5) Demographics
Sec. 170.315(a)(6) Vital signs, BMI, and growth charts
Sec. 170.315(a)(7) Problem list
Sec. 170.315(a)(8) Medication list
Sec. 170.315(a)(9) Medication allergy list
Sec. 170.315(a)(10) Clinical decision support
Sec. 170.315(a)(18) Electronic medication administration
record
Sec. 170.315(a)(20) Implantable device list
Sec. 170.315(a)(22) Decision support--knowledge artifact
Sec. 170.315(a)(23) Decision support--service
Sec. 170.315(b)(2) Clinical information reconciliation
and incorporation
Sec. 170.315(b)(3) Electronic prescribing