Understanding the FHIR Data Model: Mapping Strategies from Legacy to Modern Standards
Legacy-to-FHIR Mapping - FirestarterPro
Summary
This article details practical mapping techniques for translating legacy healthcare data into FHIR resources. It emphasizes that successful data model design requires structural, semantic, and operational considerations beyond simple field-to-field transformation.
Details
Interoperability in healthcare systems is complex, requiring the migration (mapping) of data from legacy EHRs or proprietary APIs to the FHIR standard. This article outlines three primary mapping patterns: One-to-one, One-to-many, and Many-to-one, providing specific examples and challenges for each. A critical focus is that mapping must go beyond simple field transformation, requiring consideration of: 1. **Semantic Mapping:** Converting local codes or ambiguous text into standardized terminologies like LOINC. 2. **Structural Mapping:** Selecting the correct FHIR resource type and using appropriate bundling strategies to output multiple related resources (e.g., Observation, Condition). Furthermore, mitigating information loss is crucial. Strategies include preserving stable source identifiers in `identifier[]` or `meta.source`, and utilizing the `Provenance` element for audit-critical data. These principles are essential for practical data integration design within ETL pipelines and integration engines.
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