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Difference between revisions of "201805 Clinical Research Track"

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==Roles==
 
==Roles==
Please include information here regarding how much advance preparation will be required if creating a client and/or server.
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<!-- Roles are sets of functionality (generally defined by a Conformance resource) that a single system can take on -->
 
<!-- Roles are sets of functionality (generally defined by a Conformance resource) that a single system can take on -->
===Role 1 Name===
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===FHIR Client===
<!-- Provide a description of the capabilities this role will have within the connectathon -->
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Support the sending from an EHR or patient device of clinical research study data: create, read, search and update to a clinical study database system.
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===FHIR Server===
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Supports a FHIR API which can respond to requests from a clinical research FHIR clinical research client.
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===Clinical Trial Designer===
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Identifies data relevant to research studies that may be collected from EHRs or SMART-on-FHIR devices. Sets up patient matching criteria and identifiers for ResearchStudy and ResearchSubject for a synthetic test study. Creates study database, mappings/interfaces, EDC case report forms with variable mappings to FHIR that will receive EHR patient data for clinical trial subjects. Generate updates from EDC to apply to the EHR.
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===Clinical Trial Designer===
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Clinical Trial Designer[edit] Identifies data relevant to research studies that may be collected from EHRs . Sets up patient matching criteria and identifiers for ResearchStudy and ResearchSubject for a synthetic test study. Creates study database, mappings/interfaces, EDC case report forms with variable mappings to FHIR that will receive EHR patient data for clinical trial subjects. Generate updates from EDC to send to the EHR for keeping EHR and study databases in sync.
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===Data Collector===
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Queries API to identify patients by Study and Subject identifiers to pull EHR data for demographics, medications, observation and Condition data that maps directly to variables on eCRF. Provides data generated by patients to add to study databases or EHRs.
  
 
==Scenarios==
 
==Scenarios==

Revision as of 21:46, 2 April 2018


Track Name

Clinical Research

Submitting WG/Project/Implementer Group

Biopharma FHIR Project Group

Justification

This track will continue to evaluate use of FHIR for clinical research of new biopharmaceutical experimental treatments, seeking to advance the use of FHIR resources as eSource data used to pre-populate clinical research case report forms for both regulated and non-regulated clinical research. Plans for this connection include participation from at least 3 clinical data system implementers and pharmaceutical companies. 3 detailed use case scenarios will be proposed, 2 of which build on prior work at previous connectathons, and one exploring a new area for writing back with updates to clinical data from a clinical system. This work will inform development of profiles and IGs to support clinical research using FHIR, which will likely inform projects of the BR&R workgroup.

Clinical Research studies currently require the redundant entry of clinical data that already typically reside in Meaningful Use conformant EHR systems. EHR data represents original records in electronic format that can be used as eSource and directly imported into clinical research EDC databases so as to improve the quality and consistency of data between EHR and EDC systems and eliminate the need for redundant data entry. Establishing interoperability between EHR and EDC systems to streamline and modernize clinical investigations should improve data accuracy, patient safety, and clinical research efficiency. Given the extreme cost and extended time required for randomized clinical trials, it would be substantially better to utilize EHR source data to directly populate clinical trial databases wherever feasible. As stated in its May 2016 FDA draft guidance titled “Use of Electronic Health Record Data in Clinical Investigations” FDA “encourages sponsors and clinical investigators to work with the entities that control the EHRs, such as health care organizations, to use EHRs and EDC systems that are interoperable. . . Establishing interoperability between EHR and EDC systems to streamline and modernize clinical investigations should improve data accuracy, patient safety, and clinical research efficiency.”


Proposed Track Lead

Geoff Low, Medidata; Wayne Kubick, HL7

See Connectathon_Track_Lead_Responsibilities

Expected participants

Medidata, UCB, Parexel

Roles

FHIR Client

Support the sending from an EHR or patient device of clinical research study data: create, read, search and update to a clinical study database system.

FHIR Server

Supports a FHIR API which can respond to requests from a clinical research FHIR clinical research client.

Clinical Trial Designer

Identifies data relevant to research studies that may be collected from EHRs or SMART-on-FHIR devices. Sets up patient matching criteria and identifiers for ResearchStudy and ResearchSubject for a synthetic test study. Creates study database, mappings/interfaces, EDC case report forms with variable mappings to FHIR that will receive EHR patient data for clinical trial subjects. Generate updates from EDC to apply to the EHR.

Clinical Trial Designer

Clinical Trial Designer[edit] Identifies data relevant to research studies that may be collected from EHRs . Sets up patient matching criteria and identifiers for ResearchStudy and ResearchSubject for a synthetic test study. Creates study database, mappings/interfaces, EDC case report forms with variable mappings to FHIR that will receive EHR patient data for clinical trial subjects. Generate updates from EDC to send to the EHR for keeping EHR and study databases in sync.

Data Collector

Queries API to identify patients by Study and Subject identifiers to pull EHR data for demographics, medications, observation and Condition data that maps directly to variables on eCRF. Provides data generated by patients to add to study databases or EHRs.

Scenarios

Scenario 1: Create Research Study and Research Subject Resources

Action:
Precondition:
Success Criteria:
Bonus point:


Scenario 2: Prepopulate eCRF from EHR with New or Updated Clinical Data

Action:
Precondition:
Success Criteria:
Bonus point:


Scenario 3: Submit Updated Clinical Data from Research Database to EHR

Action:
Precondition:
Success Criteria:
Bonus point:


TestScript(s)

Security and Privacy Considerations