201705 Clinical Research
Clinical Research Track
Submitting WG/Project/Implementer Group
Biopharma FHIR project group TransCelerate Biopharma eSource Work Stream
This track is intended to continue to further explore the benefits of FHIR for clinical research of new biopharmaceutical experimental treatments, and to increase visibility of FHIR within the biopharmaceutical community. 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. This builds on previous explorations in Connectathon 13 and 14.
Clinical Research studies currently require the redundant entry of clinical data that already typically resides 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. The May 2016 FDA draft guidance titled “Use of Electronic Health Record Data in Clinical Investigations” encourages the sponsors of clinical research to use EHR data as noted in the statement below. 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. EHRs may be interoperable with EDC systems in a variety of ways depending on supportive technologies and standards. Interoperable technology may involve automated electronic transmission of relevant EHR data to the EDC system. For example, data elements originating in an EHR (e.g., demographics, vital signs, past medical history, past surgical history, social history, medications, adverse reactions) may automatically populate the eCRFs within an EDC system.
TransCelerate Biopharma, a consortium of 18 of the largest global pharmaceuticals, has engaged an eSource project team that will be sending representatives to the Madrid Connectathon seeking to further assess the readiness of FHIR toward the goal of creating a FHIR IG for Clinical Resource.
Proposed Track Lead
See Connectathon_Track_Lead_Responsibilities Wayne Kubick (email@example.com), Sam Hume (firstname.lastname@example.org); Geoff Low (email@example.com)
Medidata Solutions, TransCelerate member companies (contact: firstname.lastname@example.org), Oracle, Other EDC and EHR Vendors (TBD)
Please include information here regarding how much advance preparation will be required if creating a client and/or server. This track will need to have a server supporting STU3 that includes some sample EHR data for at least 3 patients including Patient, Observation (lab) and MedicationStatement resources. The server must also support use of the ResearchStudy and ResearchSubject resources, and include sample data ( prepared with ResearchStudy identifier='201705CR001' and ResearchSubject identifiers='0001'. '0002', '0003'
Role 1 Name
Clinical Trial Designer
Sets up patient matching criteria by ResearchStudy and ResearchSubject for a synthetic test study. Creates EDC case report forms with variable mappings to FHIR that will receive EHR patient data for 1-3 clinical trial subjects.
Queries API to identify patients by Study and Subject identifiers to pull EHR data for demographics, medications and lab data that maps directly to variables on eCRF.
Scenario Step 1 Name
- Success Criteria:
- Bonus point: