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Breast cancer follow-up care can be provided by family phy- sicians after specialists complete the primary treatment. Can- cer Care Nova Scotia has developed a breast cancer follow- up Clinical Practice Guideline (CPG) targeting family physi- cians. 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 devel- opment 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.

studies in health technology and informatics

Ontology-based Modeling of Clinical Practice Guidelines: A Clinical Decision Support System for Breast Cancer Follow-up Interventions at Primary Care Settings.