Ontology-based modeling of clinical practice guidelines: a clinical decision support system for breast cancer follow-up interventions at primary care settings

  • Abidi S
  • Abidi S
  • Hussain S
 et al. 
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Breast cancer follow-up care can be provided by family physicians after specialists complete the primary treatment. Cancer Care Nova Scotia has developed a breast cancer follow-up Clinical Practice Guideline (CPG) targeting family physicians. In this paper we present a project to computerize and deploy the said CPG in a Breast Cancer Follow-up Decision Support System (BCF-DSS) for use by family physicians in a primary care setting. We present a semantic web approach to model the CPG knowledge and employ a logic-based proof engine to execute the CPG in order to infer patient-specific recommendations. We present the three stages of the development of BCF-DSS--i.e., (a) Computerization of the paper-based CPG for Breast Cancer follow-up; (b) Development of three ontologies--i.e., the Breast Cancer Ontology, the CPG ontology based on the Guideline Element Model (GEM) and a Patient Ontology; and (c) Execution of the Breast Cancer follow-up CPG through a logic-based CPG execution engine.

Author-supplied keywords

  • Breast Neoplasms/ therapy
  • Decision Making, Computer-Assisted
  • Decision Support Systems, Clinical
  • Family Practice
  • Humans
  • Practice Guidelines as Topic
  • User-Computer Interface
  • Vocabulary, Controlled

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  • S R Abidi

  • S S Abidi

  • S Hussain

  • M Shepherd

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