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

Summary: Ontology-based Modeling of Clinical Practice Guidelines: A Clinical Decision Support
System for Breast Cancer Follow-up Interventions at Primary Care Settings
Samina R. Abidi, Syed SR. Abidi, Sajjad Hussain, Mike Shepherd
a
NICHE Research Group, Faculty of Computer Science, Dalhousie University, Halifax, Canada
Abstract
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

  

Source: Abidi, Syed Sibte Raza - Faculty of Computer Science, Dalhousie University

 

Collections: Computer Technologies and Information Sciences