Reducing FHIR "Profiliferation": A Data-Driven Approach
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
1MITRE Corporation, Bedford, MA, USA.
Abstract:
Profiling is a mechanism for customizing Fast Healthcare Interoperability Resources (FHIR) for particular use cases. "Profiliferation" (profile + proliferation) is a coinage referring to the explosive growth in the number of FHIR profiles over the past few years. By reviewing a broad sample of almost 3000 FHIR profiles from 125 implementation guides, usage patterns were determined. Surprisingly, two items, Observation and Extension, accounted for half the profiles in the sample. FHIR's 80/20 rule was determined to be closer to 65/35, revealing that FHIR is more dependent on profiling than initially intended. Use of the Observation resource was particularly inconsistent. Results suggest that better management of potentially reusable items along with certain changes in FHIR and profiling practices could improve the consistency of FHIR artifacts and reduce unnecessary and potentially incompatible profiles.
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