SNOMED CT module-driven clinical archetype management☆
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Graphical abstract
Highlights
► We focus on exploring semantic queries to improve clinical archetype management ► Semantic content of archetypes can be successfully represented via SNOMED segments. ► A method to automatically transform archetypes into SNOMED modules is proposed. ► Semantic search provides a substantial improvement compared to keyword-based search. ► Semantic search may help guide the development of new standard archetypes.
Keywords
openEHR
SNOMED CT
Clinical archetypes
Semantic interoperability
Modularization
Semantic search
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