FHIR and Patient Matching Challenges: Why Technology Alone Is Not Enough
FHIR: Challenges and Opportunities to Solve the Patient Matching Problem | ICF
Summary
This article argues that FHIR's technical capabilities alone cannot fundamentally solve the deep-seated problem of patient identification (ID) in healthcare. As data exchange advances, record fragmentation and mismatch undermine trust, necessitating governance and data quality management beyond mere API implementation.
Details
FHIR has significantly improved the technical foundation for identifier exchange by providing resources like the Patient resource and standardized operations such as `Patient/$match`. This establishes reusable patterns, improving the mechanics of data exchange compared to older proprietary interfaces. However, the article stresses that FHIR itself does not provide a 'universal identity layer' or standardize matching logic. In real-world workflows (e.g., prior authorization, quality measurement, public health), even with advanced API exchange, decisions remain delayed and problems merely shift if records are fragmented or mismatched. The core challenge lies in 'governance' and 'data quality management,' specifically determining which identifiers are authoritative, when records should be merged, and who reviews ambiguous matches. While broad frameworks like FHIR and TEFCA strengthen the technical exchange floor, patient ID resolution remains probabilistic and heavily dependent on operational stewardship. Therefore, the path forward requires pairing FHIR-based data exchange with stronger identity services, clear governance, and better data quality practices. Identity must be treated as core infrastructure, not an afterthought, moving beyond mere technological adoption.
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