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FHIR Connectathon 27

Evidence-Based Medicine/COVID-19 Knowledge Accelerator Track Highlights

© 2019+ Health Level Seven ® International. Licensed under Creative Commons Attribution 4.0 International HL7, Health Level Seven, FHIR and the FHIR flame logo are registered trademarks of Health Level Seven International. Reg. U.S. TM Office.

2021-05-19

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Agenda

  • EBMonFHIR Introduction
  • COVID-19 Knowledge Accelerator Introduction
  • EBM/COKA related Resources and Tools
  • FHIR Connectathon Track Goals
  • FHIR Connectathon Track Achievements
  • Questions/Next Steps

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EBM-ON-FHIR INTRODUCTION

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FHIR IS MAKING HEALTH DATA FAIR

  • Fast Healthcare Interoperability Resources (FHIR) is an HL7 standard for electronic data exchange
  • FHIR enables data to be Findable, Accessible, Interoperable and Reusable (FAIR)
  • FHIR solves long-intractable problems of sharing health data
  • Resources (the R in FHIR) is the technical HOW
  • HL7 standards development process is the human HOW

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Evidence-Based Medicine wants to be FAIR

  • Evidence-based medicine (EBM) is
    • “the conscientious, explicit and judicious use of current best evidence in making decisions about the care of individual patients”
    • “integration of clinical expertise, patient’s values and best available evidence in process of decision making related to patients health care”
    • “integration of best research evidence with clinical expertise and patient values”

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Evidence = Analyzed Data

  • Evidence = Data + Context
  • Evidence is often published in journals
  • Data in FHIR + Context in journals does not interoperate

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Evidence

Data

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Evidence to Guidance to Action

  • Evidence is often published in journals
  • Guidance is often in decision support tools
  • Action can be in FHIR – but do these things interoperate?

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Evidence

Data

Guidance

Action

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The Health Knowledge Flow we want

Data Analysis, Synthesis, and Interpretation.

EVIDENCE

Guidelines, Recommendations, Decision Aids, Decision Support

GUIDANCE

Observations and Measurements.

DATA

Healthcare (testing and intervention) decision-making and implementation

ACTION

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EBMonFHIR extends FHIR to EBM data

  • FHIR Resources for Evidence-Based Medicine (EBM) Knowledge Assets project (EBMonFHIR) started 2018.
  • Goal: provide interoperability for clinical research (evidence) and recommendations for clinical care

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EBMonFHIR extends FHIR to EBM data

  • EBMonFHIR sponsored by 3 HL7 Work Groups
    • Clinical Decision Support (CDS)
    • Clinical Quality Information (CQI)
    • Biomedical Research and Regulation (BRR)

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COVID-19 KNOWLEDGE ACCELERATOR INTRODUCTION

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COVID-19 Knowledge Accelerator (COKA)

  • A virtual organization – no cost, no contracts
  • Open, transparent – all meetings
  • Engages multiple global collaborative groups, organizations, and individuals
  • A way for any to volunteer to accelerate development and implementation of standards for evidence exchange, especially with attention to COVID-19

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COKA has 10-12 active working groups

  • Project Management
  • Terminology and Ontology WG
  • Research Design WG
  • Statistic Standard and Terminology WG
  • Risk of Bias Terminology and Tooling WG
  • Common Metadata Framework WG (+ Expansion WG)
  • Content Citation and Classification Tools Development WG
  • Systematic Meta-Review Project Group (+ Supplemental WG)
  • Knowledge Ecosystem Liaison WG
  • Communications WG

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COKA: How to Participate

  • For all of these meetings: Join Microsoft Teams Meeting
  • If you wish to learn more about COKA please go to Tinyurl.com/coka2020
  • Questions: balper@computablepublishing.com

Day

Time (Eastern)

Team

Monday 

7-8 am 

Project Management

Monday 

9-10 am

Systematic Meta-Review Project Group

Monday

11 am-12 pm

Systematic Meta-Review Project Group Supplemental

Monday

1-2 pm

Terminology and Ontology WG

Tuesday 

10-11 am 

Common Metadata Framework WG

Tuesday

11 am-12 pm

Common Metadata Framework WG Expansion

Tuesday 

2-3 pm 

Research Design WG

Wednesday

8-9 am 

Knowledge Ecosystem Liaison WG

Wednesday

9-10 am

Statistic Standard and Terminology WG

Thursday

9-10 am

Content Citation and Classification Tools Development

Thursday 

4-5 pm 

Project Management

Friday

9-10 am 

Risk of Bias Terminology and Tooling WG

Friday

10-11 am 

Communications (Awareness, Scholarly Publications)

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EBM/COKA RELATED RESOURCES AND TOOLS

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COKA Activities – all 4 components

Contextualized application for each instance

Specific content and people

Common format for how data elements are expressed

Schema

Common interfaces (UIs and APIs) and data transformations

Tooling

Common vocabulary and code systems

Terminology

  • FHIR Citation Resource
  • FHIR EvidenceReport Resource
  • FHIR Evidence Resource
        • FHIR EvidenceVariable Resource
        • FHIR Group Resource
        • FHIR Statistic Resource [Datatype]
  • Study Design Code System
  • Statistic Code System
                  • Statistic Type Code System
  • Statistic Model Code System
  • Certainty Code System
  • Risk of Bias Code System
  • Citation Repository Tools
    • MEDLINE-to-FHIR Converter
  • Citation Viewer
  • Citation Builder
  • Clinical Trial Results Reporter
  • Systematic Review Results Reporter
  • COVID-19 Knowledge Accelerator
  • Liaised network initiatives:
    • AHRQ ACTS COVID-19 Data-to-Evidence-to-Action Collaborative
    • COVID-END
    • FAIRness for FHIR
  • Systematic Meta-Review Project:
    • Steroid therapy for COVID-19

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COKA Activities – all 4 components

Contextualized application for each instance

Specific content and people

Common format for how data elements are expressed

Schema

Common interfaces (UIs and APIs) and data transformations

Tooling

Common vocabulary and code systems

Terminology

  • FHIR Citation Resource
  • FHIR EvidenceReport Resource
  • FHIR Evidence Resource
        • FHIR EvidenceVariable Resource
        • FHIR Group Resource
        • FHIR Statistic Resource [Datatype]
  • Study Design Code System
  • Statistic Code System
                  • Statistic Type Code System
  • Statistic Model Code System
  • Certainty Code System
  • Risk of Bias Code System
  • Citation Repository Tools
    • MEDLINE-to-FHIR Converter
  • Citation Viewer
  • Citation Builder
  • Clinical Trial Results Reporter
  • Systematic Review Results Reporter
  • COVID-19 Knowledge Accelerator
  • Liaised network initiatives:
    • AHRQ ACTS COVID-19 Data-to-Evidence-to-Action Collaborative
    • COVID-END
    • FAIRness for FHIR
  • Systematic Meta-Review Project:
    • Steroid therapy for COVID-19

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Fast Healthcare Interoperability Resources (FHIR)

Evidence

EvidenceVariable

EvidenceReport

Citation

Group

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Fast Healthcare Interoperability Resources (FHIR)

Evidence

EvidenceVariable

EvidenceReport

Citation

Group

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Fast Healthcare Interoperability Resources (FHIR)

Evidence

EvidenceVariable

EvidenceReport

Citation

Group

FHIR Resources for Evidence Expression

Primary Resources

  1. Citation
  2. Evidence
  3. EvidenceVariable
  4. Group
  5. EvidenceReport

Datatype Resources

  1. Statistic

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Citation Resource

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COKA Activities – all 4 components

Contextualized application for each instance

Specific content and people

Common format for how data elements are expressed

Schema

Common interfaces (UIs and APIs) and data transformations

Tooling

Common vocabulary and code systems

Terminology

  • FHIR Citation Resource
  • FHIR EvidenceReport Resource
  • FHIR Evidence Resource
        • FHIR EvidenceVariable Resource
        • FHIR Group Resource
        • FHIR Statistic Resource [Datatype]
  • Study Design Code System
  • Statistic Code System
                  • Statistic Type Code System
  • Statistic Model Code System
  • Certainty Code System
  • Risk of Bias Code System
  • Citation Repository Tools
    • MEDLINE-to-FHIR Converter
  • Citation Viewer
  • Citation Builder
  • Clinical Trial Results Reporter
  • Systematic Review Results Reporter
  • COVID-19 Knowledge Accelerator
  • Liaised network initiatives:
    • AHRQ ACTS COVID-19 Data-to-Evidence-to-Action Collaborative
    • COVID-END
    • FAIRness for FHIR
  • Systematic Meta-Review Project:
    • Steroid therapy for COVID-19

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COKA Activities – all 4 components

Contextualized application for each instance

Specific content and people

Common format for how data elements are expressed

Schema

Common interfaces (UIs and APIs) and data transformations

Tooling

Common vocabulary and code systems

Terminology

  • FHIR Citation Resource
  • FHIR EvidenceReport Resource
  • FHIR Evidence Resource
        • FHIR EvidenceVariable Resource
        • FHIR Group Resource
        • FHIR Statistic Resource [Datatype]
  • Study Design Code System
  • Statistic Code System
                  • Statistic Type Code System
  • Statistic Model Code System
  • Certainty Code System
  • Risk of Bias Code System
  • Citation Repository Tools
    • MEDLINE-to-FHIR Converter
  • Citation Viewer
  • Citation Builder
  • Clinical Trial Results Reporter
  • Systematic Review Results Reporter
  • COVID-19 Knowledge Accelerator
  • Liaised network initiatives:
    • AHRQ ACTS COVID-19 Data-to-Evidence-to-Action Collaborative
    • COVID-END
    • FAIRness for FHIR
  • Systematic Meta-Review Project:
    • Steroid therapy for COVID-19

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Tools Development

MEDLINE-to-FHIR Converter

Login first at https://fevir.net/

Go to https://fevir.net/medlineconvert

Enter a PMID and it automatically generates a FHIR Citation.

Citation Viewer and Citation Builder

Available at https://fevir.net/

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COKA Activities – all 4 components

Contextualized application for each instance

Specific content and people

Common format for how data elements are expressed

Schema

Common interfaces (UIs and APIs) and data transformations

Tooling

Common vocabulary and code systems

Terminology

  • FHIR Citation Resource
  • FHIR EvidenceReport Resource
  • FHIR Evidence Resource
        • FHIR EvidenceVariable Resource
        • FHIR Group Resource
        • FHIR Statistic Resource [Datatype]
  • Study Design Code System
  • Statistic Code System
                  • Statistic Type Code System
  • Statistic Model Code System
  • Certainty Code System
  • Risk of Bias Code System
  • Citation Repository Tools
    • MEDLINE-to-FHIR Converter
  • Citation Viewer
  • Citation Builder
  • Clinical Trial Results Reporter
  • Systematic Review Results Reporter
  • COVID-19 Knowledge Accelerator
  • Liaised network initiatives:
    • AHRQ ACTS COVID-19 Data-to-Evidence-to-Action Collaborative
    • COVID-END
    • FAIRness for FHIR
  • Systematic Meta-Review Project:
    • Steroid therapy for COVID-19

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FHIR CONNECTATHON EBM/COKA TRACK GOALS

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Track Description

  • Demonstrate data exchange using Evidence, EvidenceVariable, Group and EvidenceReport resources to communicate clinical trial and systematic review findings.
  • Demonstrate data exchange using Citation Resource to communicate location of computable biomedical knowledge artifacts.
  • Overcome the gap in the flow from the creation of evidence (research results, data analysis) to synthesis of evidence to inform decision support.

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Track Scenario 1

Share a list of selected research articles about COVID-19

  • Action: The Citation Manager will transmit a list of selected research articles as a bundle of Citation Resources.
  • Success Criteria: A different Citation Manager will reliably display the list of selected research articles.
  • Bonus point: Transfer of multiple identifiers related to an article that were not previously used in the Citation Manager (for example CORD-19 unique ID)

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Track Scenario 2

Share a list of selected computable biomedical knowledge artifacts (CBKs)

  • Action: The Citation Manager will transmit a list of selected CBKs as a bundle of Citation Resources.
  • Success Criteria: A different Citation Manager will reliably display the list of selected CBKs.
  • Bonus point: Transfer of multiple classifiers related to a CBK that were not previously used in the Citation Manager (for example “the CBK is an executable app”)

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Track Scenario 3

Create computable expressions for the evidence variables related to COVID-19 clinical research

  • Action: The Evidence Variable Classifier will create EvidenceVariable Resources expressing the population, exposures and outcomes for a clinical research article.
  • Success Criteria: Valid EvidenceVariable Resources are understood and agreed by other Evidence Variable Classifiers
  • Bonus point: Association of EvidenceVariable Resources with EvidenceReport Resources and Evidence Resources.

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Track Scenario 4

Create computable expressions for the evidence (statistical summary of findings) related to COVID-19 clinical research

  • Action: The Evidence Classifier will create Evidence Resources for a clinical research article.
  • Success Criteria: Valid Evidence Resources are understood and agreed by other Evidence Classifiers
  • Bonus point: Association of Evidence Resources with EvidenceReport Resources and EvidenceVariable Resources.

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EVIDENCE-BASED MEDICINE/COKA TRACK ACHIEVEMENTS

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Good Participation

10 people from 6 organizations

Brian S. Alper, Computable Publishing LLC

Khalid Shahin, Computable Publishing LLC

Joanne Dehnbostel, Computable Publishing LLC

Marc Hadley, MITRE Corporation

Michelle Caputy, MITRE Corporation

Falk von Dincklage, Charité - Universitätsmedizin Berlin

Gregor Lichtner, Charité - Universitätsmedizin Berlin

Geoff Low, Medidata Solutions, Vulcan

Kees van Bochove, The Hyve, FHIRforFAIR

Ana Carolina Loyola Briceno, Department of HHS, Office of Quality Improvement

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Citation Exchange Achievements

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Citation Resource Achievements

  • Multiple changes to value sets to support Citation Resource

    • Changes include real-world example needs (e.g. adding code-repository and restricted to ArticleUrlType value set)
    • Changes include mapping to Dublin Core Metadata Initiative standard (e.g. adding coverage to CitedArtifactClassificationType value set)

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Evidence Exchange Achievements

  • Charité - Universitätsmedizin Berlin presented draft Evidence, EvidenceVariable and Group Resources to express evidence from meta-analysis and net effect estimates. 
  • Extensive discussion adjusted how to fit the EBMonFHIR model and how to adjust the EBMonFHIR model to better fit this function.

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EvidenceVariable Resource Achievements

  • Multiple changes to improve EvidenceVariable Resource

https://jira.hl7.org/browse/FHIR-32645 Reference(Any)

https://jira.hl7.org/browse/FHIR-32646 characteristic.type

https://jira.hl7.org/browse/FHIR-32647 characteristicCombination

any-of

all-of

at-least-n

net-effect

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Evidence Exchange Achievements

  • We created “COKA-EBM Clinical Outcomes in ACTT-1 Remdesivir RCT EvidenceReport” at https://fevir.net/resources/EvidenceReport/156
    • supported with
      • 9 Evidence Resources
      • 7 EvidenceVariable Resources
      • 2 Group Resources
      • 1 ActivityDefinition Resource

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QUESTIONS/NEXT STEPS

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Citation Exchange Next Steps

  • Adjust value sets for Citation Resource.
  • Complete development of Citation Builder and Citation Viewer on fevir.net to facilitate human-friendly editing and viewing with conversion to/from FHIR Citation json
  • Explore FHIR operations for “Exchange Classifiers” function.
  • Explore FHIR Subscription Framework for notifications function.
  • Consider when to start IG development.

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Evidence-related Next Steps

  • Complete structure changes to EvidenceVariable Resource.
  • Explore FHIR operations for “Evidence” functions.
  • Explore FHIR Subscription Framework for notifications function.
  • Consider when to start IG development.

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Questions/Important Links

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