Implement an eSource FHIR-based EHR-to-EDC data transfer using the HL7 Vulcan Accelerator EHR-to-CR implementation guide

domain: confluence.hl7.org/display/VA (Vulcan Accelerator) / hl7.org/fhir · 6 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Reference the Vulcan EHR-to-CR Transfer Implementation Guide published by the HL7 Vulcan Accelerator; the guide defines FHIR R4 profiles for pre-populating case report forms from EHR observations, lab results, and demographics
  2. Configure the EHR FHIR server to expose the required FHIR R4 resource types (Patient, Observation, Condition, MedicationRequest, Procedure) with the Vulcan-defined profiles using the $everything operation or individual resource queries scoped to the trial participant
  3. Map FHIR resource elements to EDC CRF fields using the study's CDASH-to-FHIR element mapping table; LOINC codes in Observation.code map to CDASH test codes, and SNOMED CT in Condition.code maps to medical history terms
  4. Pull EHR data at defined visit windows by querying FHIR resources filtered by patient identifier and date range (Observation?patient={id}&date=ge{visitDate}&date=le{visitDate+window})
  5. Write the pre-populated values to the EDC as provisional (unverified) entries tagged with the source system identifier; the site investigator must review and verify or correct each pre-populated value before the field is marked as clean in the EDC
  6. Maintain an audit record linking each EDC field value to the originating FHIR resource ID and version so the data lineage from EHR to EDC is traceable for GCP inspection purposes

Known gotchas

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