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Evaluation of SNOMED CT as a Reference Terminology for Standardized Data Queries in the Arden Syntax
1Charles Drew University & University of California, Los Angeles, California, USA.
Context:
Arden Syntax is a standard that encodes knowledge as Medical Logic Modules (MLMs) but lacks a standard query data model and terminology.
Objective:
Assess to what extent SNOMED CT can represent MLM query data elements.
Method:
340 MLMs containing 3268 queries were examined.
Result:
SNOMED can be used to represent all data elements except for clinical decision support system terms such as "alert."
Conclusion:
SNOMED CT adequately represents data queried using the Arden Syntax.
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