Creating Shareable Clinical Decision Support Rules for a Pharmacogenomics Clinical Guideline Using Structured Knowledge Representation

Margaret K. Linan, Davide Sottara, Robert R. Freimuth

    Research output: Contribution to journalArticle

    1 Scopus citations

    Abstract

    Pharmacogenomics (PGx) guidelines contain drug-gene relationships, therapeutic and clinical recommendations from which clinical decision support (CDS) rules can be extracted, rendered and then delivered through clinical decision support systems (CDSS) to provide clinicians with just-in-time information at the point of care. Several tools exist that can be used to generate CDS rules that are based on computer interpretable guidelines (CIG), but none have been previously applied to the PGx domain. We utilized the Unified Modeling Language (UML), the Health Level 7 virtual medical record (HL7 vMR) model, and standard terminologies to represent the semantics and decision logic derived from a PGx guideline, which were then mapped to the Health eDecisions (HeD) schema. The modeling and extraction processes developed here demonstrate how structured knowledge representations can be used to support the creation of shareable CDS rules from PGx guidelines.

    Original languageEnglish (US)
    Pages (from-to)1985-1994
    Number of pages10
    JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
    Volume2015
    StatePublished - Jan 1 2015

    ASJC Scopus subject areas

    • Medicine(all)

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