Journal of the American Medical Informatics Association · 2011 · 89 citations · 31 references
ComputingBiomedical InformaticsHealth InformaticsClinical Decision SupportDecision Support SystemsKnowledge RepresentationClinical Decision Support SystemsClinical Knowledge RepresentationDecision Support In HealthcareGuideline ImplementationKnowledge-based Decision SupportSystem ImplementationClinical Decision Support Knowledge ModelsClinical Decision Support System ImplementationClinical Guideline EncodingClinical Guideline ImplementationClinical Guideline RecommendationGuideline RepresentationKnowledge-driven Decision SupportRule-based Knowledge Representation
BACKGROUND: There are several challenges in encoding guideline knowledge in a form that is portable to different clinical sites, including the heterogeneity of clinical decision support (CDS) tools, of patient data representations, and of workflows. METHODS: We have developed a multi-layered knowledge representation framework for structuring guideline recommendations for implementation in a variety of CDS contexts. In this framework, guideline recommendations are increasingly structured through four layers, successively transforming a narrative text recommendation into input for a CDS system. We have used this framework to implement rules for a CDS service based on three guidelines. We also conducted a preliminary evaluation, where we asked CDS experts at four institutions to rate the implementability of six recommendations from the three guidelines. CONCLUSION: The experience in using the framework and the preliminary evaluation indicate that this approach has promise in creating structured knowledge, to implement in CDS systems, that is usable across organizations.
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