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Mapping FHIR to OMOP Using Open Source Tools

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Demonstrates an open source pipeline that takes FHIR STU3 transaction bundles from a HAPI test server, runs a configurable FHIR-to-OMOP converter (deployed locally or on Google Cloud), and writes OMOP CDM v6 tables into BigQuery using OHDSI vocabularies and the concept_map feedback loop. Shows actual pain points: medication administration vs dispense/request, observation vs measurement domain choice, missing person demographics. Converter produces usable CDM output but requires iterative reconfiguration of mappings and vocabulary lookups.

AI-written summary · about

  1. 0:00Session introduction
  2. 1:09Project overview
  3. 6:33History and goals of OMOP
  4. 12:05OMOP data model structure
  5. 25:37Incremental ETL pipeline
  6. 31:13FHIR and OMOP mapping challenges
  7. 37:01FHIR conversion and Q&A
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