FHIR in Clinical Research
summary
Claim: automating EHR → research capture cuts manual transcription, reduces 10–20% transcription errors and could save about 70 FTE saved estimate at one Dutch hospital. Implementation: integrated Castor EDC with four university hospitals using two patterns — push and pull architectures — starting with Patient, Research and Observation resources; pull queries hit an on‑site FHIR server with OAuth but Smart on FHIR scopes are too coarse. Built mapping/metadata UI and manual validation is required now; Structured Data Capture (SDC IG) and better code systems are next steps.
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chapters (20)
- 0:00Introduction
- 0:32Who am I
- 1:50Who are you
- 2:24Clinical research process
- 7:12FHIR use cases
- 9:21Research data
- 12:56Push mechanism
- 14:05Considerations
- 16:23Pull mechanism
- 17:48Pros
- 19:57Challenges
- 22:22Authentication and Authorization
- 25:40Study Form
- 26:03Metadata
- 27:50Mapping
- 29:39Forms
- 30:31Questionnaire
- 30:49Fairness of Data Fair
- 33:28Use Case Running Up
- 34:41Questions
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