Evaluation of the Proposed Arden Syntax v3.0 to Represent Query Data Mappings Using FHIR
1Charles Drew University & University of California, Los Angeles, California, USA.
Context:
Arden Syntax is a standard that encodes knowledge as Medical Logic Modules but lacks a standard query data model and terminology.
Objective:
Assess FHIR-enabled data access in a proposed version of Arden Syntax.
Method:
Queries in 340 MLMs were tabulated.
Result:
FHIR can serve as the Arden Syntax data model, but nonstandard terminologies still impede interoperability.
Conclusion:
The proposed Arden Syntax v3.0 FHIR-enabled data access is adequate as a query data model for MLMs.
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