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Update on S&I Framework Initiatives
Health IT Standards Committee
September 19, 2012



Doug Fridsma, MD, PhD, FACP, FACMI
Chief Science Officer & Director, Office of Science & Technology
Todays’ Agenda


• Discussion re: Standards in the Final Rule
   – Review current adopted standards
   – Vocabulary issue with ToC
   – Dental Vocabularies


• Update on newest S&I Initiatives
   – Health eDecisions
   – Automate Blue Button Initiative




                                               1
S&I Initiative Portfolio Snapshot
AUTHOR’S NOTE: This snapshot describes the various initiatives that are currently in process as part of the S&I
Framework and details their progress. Today I’m going to focus my update on our newest initiatives, Health
eDecisions and Automate Blue Button.

                                        Pre-Discovery                 Use Case               Harmonization          RI, Test & Pilot        Evaluation

Direct Project
(S&I Archetype)

Transitions of Care                                                                                                              Adopted in 2012 S&CC rule

                                                                                                                          Adopted in 2012 S&CC rule
Lab Results Interface

                                                                                                                         Pilots underway
Query Health

Provider                                                                                                             Looking at potential pilots and
Directories                                                                                                          reference implementation
Data Segmentation for                                                                             Demonstration pilot shown at HL7 last week
Privacy

Public Health Reporting                                                           Community-Led initiative

esMD                                                                      1st (of 3) use cases consensus-approved; Targeting completion of pilot(s) and
                                                                          initial evaluation by October 2012
Longitudinal                                                                                       Limited Support Initiative, coordinating with IMPACT
Coordination of Care
Laboratory Orders                                                                                  Use Case Reached Consensus In August 2012
Interface

Health eDecisions                                                              Developing Two Use Cases: Artifact Sharing and Guidance Service

Automate Blue Button
                                                  S&I Community launched August 2012                                                                      2
(ABBI)
Health eDecisions: A Brief History


• Barriers exist to the adoption and implementation of Clinical Decision
  Support despite research demonstrating effectiveness in improving quality
  and safety

• Lack of widely accepted, implementable standards for importing and/or
  sharing proven CDS interventions (reminders, order sets, documentation
  templates)

• ONC and AHRQ have invested in multiple research projects such as
  GLIDES, CDSC, ACDS, SHARP and eRecs to advance CDS implementation,
  sharing and adoption

• At the April 2012 Face 2 Face Meeting, stakeholders gathered from across
  the vendor, academic, and healthcare communities to discuss how to
  advance the shareability of CDS interventions and build on the research
  and existing standards to date


                                                                              3
Health eDecisions Project Charter
Scope Statement

 • To identify, define and harmonize standards that facilitate the emergence
   of systems and services whereby shareable CDS interventions can be
   implemented via:
     – Standards to structure medical knowledge in a shareable and
       executable format for use in CDS, and (Use Case 1 – CDS Artifact
       Sharing)
     – Standards that define how a system can interact with and utilize an
       electronic interface that provides helpful, actionable clinical guidance
       (Use Case 2- CDS Guidance Services)
 • In order to facilitate integration of a system with CDS interventions, the
   scope includes standards to refer to data in electronic health records and
   standards to map recommendations to locally implementable actions.
 • Prioritizing Community Efforts: Use Case one will be the focus of the
   community participants first. Use Case two efforts will kick off in January
   2013.



                                                                                  4
Health eDecisions Project Charter
Target Outcomes

• Repositories or catalogues can emerge, supplied
  by a range of content creators such as societies or
  content vendors, whereby CDS artifacts can be
  selected and imported into HIT systems

    – Each intervention will represent a
      standardized expression of a guideline that
      can be accessed by EHR system developers
      and users to simplify the process of
      incorporating guidelines into EHRs

• Clinical Decision Support Services can interact
  with EHRs and/or other Health Information
  Technology implementations

• Alignment with other S&I Initiatives, e.g., Query
  Health (HQMF) as well as Meaningful Use
  objectives
                                                        5
Philosophical Approach

• Pragmatism
   – We are focused on proposing a standard that is readily implementable
      by most CDS artifact providers and CDS implementers in today’s
      healthcare market
• Portability of Artifacts, not Execution
   – The “HeD artifact sharing” standard (Use Case 1) will not dictate the
      features of a CDS execution environment
• Extensibility
   – The proposed standard is a starting point to build forward upon
   – For CDS artifact sharing – we are focused on Event-Condition-Action
      rules, Order Sets, and Documentation Templates
• Alignment
   – Targeting a common approach for elements that are common across
      different CDS artifact types
   – Event-Condition-Action Rules, Order Sets, and Documentation
      Templates
   – By focusing on 3 commonly utilized artifact types, it is possible to
      identify those common components
                                                                             6
Relevant Standards/Models


•   ArdenML                           •   HL7 Decision Support Service (DSS)
•   Arden Syntax                          Specifications
                                      •   HL7 Context Aware Information Retrieval
•   AHRQ eRecommendations Format          (InfoButton)
•   CDSC L3                           •   HL7 Model Interchange Format
•   CREF                              •   HL7 QRDA (Quality Reporting Documentation
•   GELLO                                 Architecture)
                                      •   HL7 Virtual Medical Record (vMR) data
•   GEM (Guideline Elements Model)        model
•   HITSP C32                         •   HL7 Order Set model
•   HL7 Care Record                   •   HQMF
•   HL7 CCDA (Consolidated Clinical   •   IHE Care Management Profile
    Documentation Architecture)       •   IHE Retrieve Clinical Knowledge Profile
                                          (Profile for InfoButton)
                                      •   IHE RFD (Retrieve Clinical Format for Data
                                          Capture)
                                      •   IHE RPE (Request for Procedure Execution)
                                      •   IHE Request for Clinical Guidance Profile (an
                                          implementation of HL7 DSS)
                                      •   IHE Sharing Value Sets
                                      •   NQF Value Sets
                                                                                          7
Progress to Date/Next Steps

•   Progress to Date:
     – Use Case & Functional & Data Element Requirements have been defined
     – The community participants submitted their consensus votes this week
          • The goal is to finalize the Use Case & Functional & Data Element
            Requirements during today’s HeD All Hands Meeting which will occur
            from 11:00 AM – 12:30 PM ET.

•   Next Steps:
     – The community participants will move into the Standards Harmonization next
       week
          • Data elements participants have already heavily leveraged existing models
            and standards to arrive at required data elements
          • Based on analysis, a new format will be proposed: Name Standard
          • Modeling team participants are building a proposed format that
            incorporates best of existing standards/models as inputs and meets data
            elements requirements
          • As each artifact type is modeled, they will be piloted for refinement and
            implementation guide development


                                                                                        8
Proposed Timeline for HeD
Artifact Sharing Standard


Activity                                                  Target Schedule
Present Project and Scope Statement to CDS WG             September 2012
Complete Analysis, Design, and Draft Specification Work   September-November 2012
Submit Notice of Intent to Ballot                         October 2012
Conduct at Least 2 Pilots of Intended Specification       October 2012 – January 2013
Submit for Comment only Ballot                            December 2012
Consider Comments from Comment-only Ballot                January 2013 WGM – February 2013
Submit Notice of Intent to Ballot                         February 2013
Submit for DTSU Ballot                                    April 2013
Consider Comments from DTSU ballot                        May 2013 WGM
Submit to TSC for DTSU approval                           May 2013 WGM




                                                                                             9
Automate Blue Button Initiative
• New S&I Initiative, launched August 15
    – Building off VA’s work with Blue Button, which has extended to EHR vendors, CMS,
      UnitedHealth Group, Aetna, etc.
    – Centerpiece of ONC’s “Consumer Health IT Pledge Community”

• Scope: Consider standards and specifications that will facilitate consumer-
  mediated exchange of patient health information
    – Move from ASCII text file to standardized structures
    – Move from one-time download to “automated” download, via V/D/T and/or restful approaches

• Aug 22-Sept 5: Reviewed charter and proposed workgroups

• This week: Three workgroups kicking off
    – Push: Automating transmission of personal health data to a specific location
    – Pull: Allowing a third party application to access my personal health data on demand
    – Content: A Blue Button file must be machine-readable and human-readable




                                                                                             10
Push Workgroup Overview
  PUSH
 Automating transmission of personal health data to a specific “electronic” location
 EXAMPLE USE CASES
    A patient can specify in a              By patient request, a provider can
    dataholder’s system to be sent an       specify in an EHR that a patient be     Use of transmit to a 3rd
    updated copy of his/her personal        sent an updated copy of his/her         party specific to the MU-2
    health information as it becomes        personal health information as it       requirements.
    available.                              becomes available.

    REQUIREMENTS &                                     IN SCOPE                         OUT OF SCOPE
     ASSUMPTIONS                                  (TO BE CONSIDERED)               (NOT TO BE CONSIDERED)
• User (patient or provider) is         • Existing transport standards,           • Policy concerns and
  already authenticated in data           services, and specifications              constraints. This initiative will
  holder's system.                      • Existing content standards                define the mechanism, how
• Transport must be secure              • Frequency of data updates                 and where they apply it will be
• Data that is sent must be both        • Customizable parameters for               up to state and local laws
  human-readable and machine-             receiving auto alerts / updates
  readable.



                                                                                                                   11
Push Discussion
Feedback
•     PUSH is a viable goal for ABBI and warrants a workgroup
•     Use case could be defined as: Transmission to a 3rd party, specific to the MU Stage 2
      requirements for V/D/T
       –    Strawman for this use case has been posted on the wiki, which builds upon C-CDA, DIRECT, and
            existing Blue Button guidance
       –    Support (and rationale) for this use case has been posted on the Wiki and provided in comments on
            the calls. Not as an alternative to Pull, but as a viable option for Push.
    Current and Outstanding Issues
•     Actors: (Initiating/Triggering Push) Patient, Payer, Provider, System
•     How to handle the MU-2 timing requirements (e.g. 36 hour turnaround)?
•     Does Transmit Use Case require the patient to be digitally identified and trusted?
•     Will the Use Case require a provider of record to become an intermediary for patient access to
      information (and is that desirable)?
•     How are permissions set / revoked for “auto” transmission?
        •   Frequency of updates
        •   Type of updates
        •   Duration of updates
    Decision Points
    Should we focus on the posted strawman?
    Are there any alternatives to this strawman that warrant immediate consideration?                           12
Pull Workgroup Overview
  PULL
   Allowing a third party application to access my personal health data on demand
  EXAMPLE USE CASE

    A patient can direct a third party application to have on demand access to his/her
    personal health information via the internet. The dataholder will ensure this data is
    made available and follow certain privacy and security standards.

        REQUIREMENTS &                             IN SCOPE                                      OUT OF SCOPE
         ASSUMPTIONS                          (TO BE CONSIDERED)                            (NOT TO BE CONSIDERED)
• Data must be transmitted           • Authentication, transport, and content               • Policy concerns and
  securely                             standards.                                             constraints. This initiative
• Patient must give application      • Leverage REHx project (Oauth, OpenID, and              will define the
  consent to pull health               HTTPauth)                                              mechanism, – how and
  information from data holder       • Leverage identity work from NSTIC                      where they apply it will be
• Data sent must be both human-      • Leverage ToC project                                   up to state and local laws
  readable and machine-readable      • Leverage lab interface project
• Identify the dataholder
  requirements


                                                                                                                      13
Pull Discussion
Feedback
•   PULL is a viable goal for ABBI and warrants a workgroup
•   Discussion of the potential for APIs to be built onto EHR and portals, so that a 3rd-party
    developer or service could access that data (under the consumer’s direction)
•   Concerns about dataholders’ and EHR vendors’ willingness to support PULL (privacy and
    security risks)

Current and Outstanding Issues
•   Digital identification
•   Protocols for setting and revoking access
•   Consent issues
•   Trust or certification of 3rd party applications

Decision Points

•   Surface additional issues
•   Identify existing standards
•   Propose potential use cases                                                             14
Sub-Group: Content
CONTENT
 A Blue Button file must be both machine-readable and human-readable.
EXAMPLE USE CASES
  A patient can download a copy of his/her records    A patient can point a software or web application
  and is able to read and print it out.               to their Blue Button file and it can parse it.


       REQUIREMENTS &                           IN SCOPE                           CHALLENGES
        ASSUMPTIONS                        (TO BE CONSIDERED)

• File must be both human-          • Leverage work done by HL7 and     • A cross-platform file that is self
  readable on multiple platforms:     Consolidated CDA                    contained.
  PC, Mac, iOS, and Android         • Leverage work done by the ToC     • Enabling easy-parsing of the
• File must be printable              S&I Initiative                      file. Should take a developer
• File needs to be machine                                                less than 3 minutes to use.
  readable                                                              • Open vs. Licensed standards




                                                                                                               15
Content Discussion
Feedback
•   Decision to keep Content as a separate workgroup
•   Discussion of the “machine readable and human readable” proposed requirement
•   Discussion of the different options for meeting

Current and Outstanding Issues
•   Machine readable: Who are our target “consumers” of machine readable content? What do they
    need to be successful?
•   Human readable: What does it mean to be human readable? Is ASCII text sufficient?
•   Options that have been proposed:
           •   2 files: ASCII file (XSLT) + C-CDA (XML)
           •   1 file: C-CDA elements in JSON and human-readable styling in CSS
           •   1 file: C-CDA (XML or JSON) (Just machine readable)
           •   “Some new standard for Blue Button”
•   Discussion of “open source” versus “licensed” options
•   What data are we talking about? (open, constrained, etc.)

Decision Points
•   Discussion has focused on Provider / EHR data. How do we want to address payor data? Under the
                                                                                                 16
    same workgroup or separately?
Questions/Discussion


Learn more at:
ONC website:
  www.healthit.gov

S&I Framework wiki:
  http://wiki.siframework.org




                                17

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Hitsc sept 19_2012_v2

  • 1. Update on S&I Framework Initiatives Health IT Standards Committee September 19, 2012 Doug Fridsma, MD, PhD, FACP, FACMI Chief Science Officer & Director, Office of Science & Technology
  • 2. Todays’ Agenda • Discussion re: Standards in the Final Rule – Review current adopted standards – Vocabulary issue with ToC – Dental Vocabularies • Update on newest S&I Initiatives – Health eDecisions – Automate Blue Button Initiative 1
  • 3. S&I Initiative Portfolio Snapshot AUTHOR’S NOTE: This snapshot describes the various initiatives that are currently in process as part of the S&I Framework and details their progress. Today I’m going to focus my update on our newest initiatives, Health eDecisions and Automate Blue Button. Pre-Discovery Use Case Harmonization RI, Test & Pilot Evaluation Direct Project (S&I Archetype) Transitions of Care Adopted in 2012 S&CC rule Adopted in 2012 S&CC rule Lab Results Interface Pilots underway Query Health Provider Looking at potential pilots and Directories reference implementation Data Segmentation for Demonstration pilot shown at HL7 last week Privacy Public Health Reporting Community-Led initiative esMD 1st (of 3) use cases consensus-approved; Targeting completion of pilot(s) and initial evaluation by October 2012 Longitudinal Limited Support Initiative, coordinating with IMPACT Coordination of Care Laboratory Orders Use Case Reached Consensus In August 2012 Interface Health eDecisions Developing Two Use Cases: Artifact Sharing and Guidance Service Automate Blue Button S&I Community launched August 2012 2 (ABBI)
  • 4. Health eDecisions: A Brief History • Barriers exist to the adoption and implementation of Clinical Decision Support despite research demonstrating effectiveness in improving quality and safety • Lack of widely accepted, implementable standards for importing and/or sharing proven CDS interventions (reminders, order sets, documentation templates) • ONC and AHRQ have invested in multiple research projects such as GLIDES, CDSC, ACDS, SHARP and eRecs to advance CDS implementation, sharing and adoption • At the April 2012 Face 2 Face Meeting, stakeholders gathered from across the vendor, academic, and healthcare communities to discuss how to advance the shareability of CDS interventions and build on the research and existing standards to date 3
  • 5. Health eDecisions Project Charter Scope Statement • To identify, define and harmonize standards that facilitate the emergence of systems and services whereby shareable CDS interventions can be implemented via: – Standards to structure medical knowledge in a shareable and executable format for use in CDS, and (Use Case 1 – CDS Artifact Sharing) – Standards that define how a system can interact with and utilize an electronic interface that provides helpful, actionable clinical guidance (Use Case 2- CDS Guidance Services) • In order to facilitate integration of a system with CDS interventions, the scope includes standards to refer to data in electronic health records and standards to map recommendations to locally implementable actions. • Prioritizing Community Efforts: Use Case one will be the focus of the community participants first. Use Case two efforts will kick off in January 2013. 4
  • 6. Health eDecisions Project Charter Target Outcomes • Repositories or catalogues can emerge, supplied by a range of content creators such as societies or content vendors, whereby CDS artifacts can be selected and imported into HIT systems – Each intervention will represent a standardized expression of a guideline that can be accessed by EHR system developers and users to simplify the process of incorporating guidelines into EHRs • Clinical Decision Support Services can interact with EHRs and/or other Health Information Technology implementations • Alignment with other S&I Initiatives, e.g., Query Health (HQMF) as well as Meaningful Use objectives 5
  • 7. Philosophical Approach • Pragmatism – We are focused on proposing a standard that is readily implementable by most CDS artifact providers and CDS implementers in today’s healthcare market • Portability of Artifacts, not Execution – The “HeD artifact sharing” standard (Use Case 1) will not dictate the features of a CDS execution environment • Extensibility – The proposed standard is a starting point to build forward upon – For CDS artifact sharing – we are focused on Event-Condition-Action rules, Order Sets, and Documentation Templates • Alignment – Targeting a common approach for elements that are common across different CDS artifact types – Event-Condition-Action Rules, Order Sets, and Documentation Templates – By focusing on 3 commonly utilized artifact types, it is possible to identify those common components 6
  • 8. Relevant Standards/Models • ArdenML • HL7 Decision Support Service (DSS) • Arden Syntax Specifications • HL7 Context Aware Information Retrieval • AHRQ eRecommendations Format (InfoButton) • CDSC L3 • HL7 Model Interchange Format • CREF • HL7 QRDA (Quality Reporting Documentation • GELLO Architecture) • HL7 Virtual Medical Record (vMR) data • GEM (Guideline Elements Model) model • HITSP C32 • HL7 Order Set model • HL7 Care Record • HQMF • HL7 CCDA (Consolidated Clinical • IHE Care Management Profile Documentation Architecture) • IHE Retrieve Clinical Knowledge Profile (Profile for InfoButton) • IHE RFD (Retrieve Clinical Format for Data Capture) • IHE RPE (Request for Procedure Execution) • IHE Request for Clinical Guidance Profile (an implementation of HL7 DSS) • IHE Sharing Value Sets • NQF Value Sets 7
  • 9. Progress to Date/Next Steps • Progress to Date: – Use Case & Functional & Data Element Requirements have been defined – The community participants submitted their consensus votes this week • The goal is to finalize the Use Case & Functional & Data Element Requirements during today’s HeD All Hands Meeting which will occur from 11:00 AM – 12:30 PM ET. • Next Steps: – The community participants will move into the Standards Harmonization next week • Data elements participants have already heavily leveraged existing models and standards to arrive at required data elements • Based on analysis, a new format will be proposed: Name Standard • Modeling team participants are building a proposed format that incorporates best of existing standards/models as inputs and meets data elements requirements • As each artifact type is modeled, they will be piloted for refinement and implementation guide development 8
  • 10. Proposed Timeline for HeD Artifact Sharing Standard Activity Target Schedule Present Project and Scope Statement to CDS WG September 2012 Complete Analysis, Design, and Draft Specification Work September-November 2012 Submit Notice of Intent to Ballot October 2012 Conduct at Least 2 Pilots of Intended Specification October 2012 – January 2013 Submit for Comment only Ballot December 2012 Consider Comments from Comment-only Ballot January 2013 WGM – February 2013 Submit Notice of Intent to Ballot February 2013 Submit for DTSU Ballot April 2013 Consider Comments from DTSU ballot May 2013 WGM Submit to TSC for DTSU approval May 2013 WGM 9
  • 11. Automate Blue Button Initiative • New S&I Initiative, launched August 15 – Building off VA’s work with Blue Button, which has extended to EHR vendors, CMS, UnitedHealth Group, Aetna, etc. – Centerpiece of ONC’s “Consumer Health IT Pledge Community” • Scope: Consider standards and specifications that will facilitate consumer- mediated exchange of patient health information – Move from ASCII text file to standardized structures – Move from one-time download to “automated” download, via V/D/T and/or restful approaches • Aug 22-Sept 5: Reviewed charter and proposed workgroups • This week: Three workgroups kicking off – Push: Automating transmission of personal health data to a specific location – Pull: Allowing a third party application to access my personal health data on demand – Content: A Blue Button file must be machine-readable and human-readable 10
  • 12. Push Workgroup Overview PUSH Automating transmission of personal health data to a specific “electronic” location EXAMPLE USE CASES A patient can specify in a By patient request, a provider can dataholder’s system to be sent an specify in an EHR that a patient be Use of transmit to a 3rd updated copy of his/her personal sent an updated copy of his/her party specific to the MU-2 health information as it becomes personal health information as it requirements. available. becomes available. REQUIREMENTS & IN SCOPE OUT OF SCOPE ASSUMPTIONS (TO BE CONSIDERED) (NOT TO BE CONSIDERED) • User (patient or provider) is • Existing transport standards, • Policy concerns and already authenticated in data services, and specifications constraints. This initiative will holder's system. • Existing content standards define the mechanism, how • Transport must be secure • Frequency of data updates and where they apply it will be • Data that is sent must be both • Customizable parameters for up to state and local laws human-readable and machine- receiving auto alerts / updates readable. 11
  • 13. Push Discussion Feedback • PUSH is a viable goal for ABBI and warrants a workgroup • Use case could be defined as: Transmission to a 3rd party, specific to the MU Stage 2 requirements for V/D/T – Strawman for this use case has been posted on the wiki, which builds upon C-CDA, DIRECT, and existing Blue Button guidance – Support (and rationale) for this use case has been posted on the Wiki and provided in comments on the calls. Not as an alternative to Pull, but as a viable option for Push. Current and Outstanding Issues • Actors: (Initiating/Triggering Push) Patient, Payer, Provider, System • How to handle the MU-2 timing requirements (e.g. 36 hour turnaround)? • Does Transmit Use Case require the patient to be digitally identified and trusted? • Will the Use Case require a provider of record to become an intermediary for patient access to information (and is that desirable)? • How are permissions set / revoked for “auto” transmission? • Frequency of updates • Type of updates • Duration of updates Decision Points Should we focus on the posted strawman? Are there any alternatives to this strawman that warrant immediate consideration? 12
  • 14. Pull Workgroup Overview PULL Allowing a third party application to access my personal health data on demand EXAMPLE USE CASE A patient can direct a third party application to have on demand access to his/her personal health information via the internet. The dataholder will ensure this data is made available and follow certain privacy and security standards. REQUIREMENTS & IN SCOPE OUT OF SCOPE ASSUMPTIONS (TO BE CONSIDERED) (NOT TO BE CONSIDERED) • Data must be transmitted • Authentication, transport, and content • Policy concerns and securely standards. constraints. This initiative • Patient must give application • Leverage REHx project (Oauth, OpenID, and will define the consent to pull health HTTPauth) mechanism, – how and information from data holder • Leverage identity work from NSTIC where they apply it will be • Data sent must be both human- • Leverage ToC project up to state and local laws readable and machine-readable • Leverage lab interface project • Identify the dataholder requirements 13
  • 15. Pull Discussion Feedback • PULL is a viable goal for ABBI and warrants a workgroup • Discussion of the potential for APIs to be built onto EHR and portals, so that a 3rd-party developer or service could access that data (under the consumer’s direction) • Concerns about dataholders’ and EHR vendors’ willingness to support PULL (privacy and security risks) Current and Outstanding Issues • Digital identification • Protocols for setting and revoking access • Consent issues • Trust or certification of 3rd party applications Decision Points • Surface additional issues • Identify existing standards • Propose potential use cases 14
  • 16. Sub-Group: Content CONTENT A Blue Button file must be both machine-readable and human-readable. EXAMPLE USE CASES A patient can download a copy of his/her records A patient can point a software or web application and is able to read and print it out. to their Blue Button file and it can parse it. REQUIREMENTS & IN SCOPE CHALLENGES ASSUMPTIONS (TO BE CONSIDERED) • File must be both human- • Leverage work done by HL7 and • A cross-platform file that is self readable on multiple platforms: Consolidated CDA contained. PC, Mac, iOS, and Android • Leverage work done by the ToC • Enabling easy-parsing of the • File must be printable S&I Initiative file. Should take a developer • File needs to be machine less than 3 minutes to use. readable • Open vs. Licensed standards 15
  • 17. Content Discussion Feedback • Decision to keep Content as a separate workgroup • Discussion of the “machine readable and human readable” proposed requirement • Discussion of the different options for meeting Current and Outstanding Issues • Machine readable: Who are our target “consumers” of machine readable content? What do they need to be successful? • Human readable: What does it mean to be human readable? Is ASCII text sufficient? • Options that have been proposed: • 2 files: ASCII file (XSLT) + C-CDA (XML) • 1 file: C-CDA elements in JSON and human-readable styling in CSS • 1 file: C-CDA (XML or JSON) (Just machine readable) • “Some new standard for Blue Button” • Discussion of “open source” versus “licensed” options • What data are we talking about? (open, constrained, etc.) Decision Points • Discussion has focused on Provider / EHR data. How do we want to address payor data? Under the 16 same workgroup or separately?
  • 18. Questions/Discussion Learn more at: ONC website: www.healthit.gov S&I Framework wiki: http://wiki.siframework.org 17