TY - GEN
T1 - Ontology-based modeling of clinical practice guidelines
T2 - 12th World Congress on Medical Informatics, MEDINFO 2007
AU - Abidi, Samina R.
AU - Abidi, Syed S.R.
AU - Hussain, Sajjad
AU - Shepherd, Mike
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=35748938501&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=35748938501&partnerID=8YFLogxK
M3 - Conference contribution
C2 - 17911835
AN - SCOPUS:35748938501
SN - 9781586037741
T3 - Studies in Health Technology and Informatics
SP - 845
EP - 849
BT - MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics
PB - IOS Press
Y2 - 20 August 2007 through 24 August 2007
ER -
