Toward Bidirectional FHIR–OMOP CDM Transformations using TermX to Support the Secondary Use of Real-World Health Data within a Patient-Centered Digital Health Paradigm
Toward bidirectional FHIR–OMOP CDM transformations using TermX to support the
HL7 is exploring bidirectional transformations between FHIR and OMOP CDM using TermX.
Summary
This study developed and validated bidirectional data transformation rules between FHIR (Fast Healthcare Interoperability Resources) and OMOP Common Data Model (CDM) using the open-source platform TermX. This demonstrates a methodology supporting the secondary use of real-world health data within a patient-centered digital health paradigm.
Key Players
Details
This research addresses the challenge of utilizing vast amounts of clinical data for research, which often remains underutilized despite increasing digitization in healthcare. While FHIR improves interoperability for real-time care (diagnosis and treatment), it is not optimally designed for secondary use of health data. The study utilized TermX, an open-source terminology and data interoperability platform, to bridge this gap by creating bidirectional transformation rules between FHIR and OMOP CDM. Specifically, the researchers developed and validated standardized transformation rules for vital signs data across five key resources: Observation, Patient, Encounter, Organization, and Practitioner. The evaluation focused on
Technology Note
FHIR(Fast Healthcare Interoperability Resources)は医療データ交換の国際標準。このエントリの関連技術: HL7
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