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 S.R. Abidi; Sajjad Hussain; Mike Shepherd

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 S.R. Abidi, Sajjad Hussain, Mike Shepherd

Medicine

Medicine

Producción científica: Capítulo en Libro/Reporte/Acta de conferencia › Contribución a la conferencia

38 Citas (Scopus)

Resumen

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.

Idioma original	English
Título de la publicación alojada	MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics
Subtítulo de la publicación alojada	Building Sustainable Health Systems
Editorial	IOS Press
Páginas	845-849
Número de páginas	5
ISBN (versión impresa)	9781586037741
Estado	Published - 2007
Evento	12th World Congress on Medical Informatics, MEDINFO 2007 - Brisbane, QLD, Australia Duración: ago. 20 2007 → ago. 24 2007

Serie de la publicación

Nombre	Studies in Health Technology and Informatics
Volumen	129
ISSN (versión impresa)	0926-9630
ISSN (versión digital)	1879-8365

Conference

Conference	12th World Congress on Medical Informatics, MEDINFO 2007
País/Territorio	Australia
Ciudad	Brisbane, QLD
Período	8/20/07 → 8/24/07

ASJC Scopus Subject Areas

Biomedical Engineering
Health Informatics
Health Information Management

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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Abidi, S. R., Abidi, S. S. R., Hussain, S., & Shepherd, M. (2007). Ontology-based modeling of clinical practice guidelines: A clinical decision support system for breast cancer follow-up interventions at primary care settings. En MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics: Building Sustainable Health Systems (pp. 845-849). (Studies in Health Technology and Informatics; Vol. 129). IOS Press.

Ontology-based modeling of clinical practice guidelines: A clinical decision support system for breast cancer follow-up interventions at primary care settings. / Abidi, Samina R.; Abidi, Syed S.R.; Hussain, Sajjad et al.
MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics: Building Sustainable Health Systems. IOS Press, 2007. p. 845-849 (Studies in Health Technology and Informatics; Vol. 129).

Producción científica: Capítulo en Libro/Reporte/Acta de conferencia › Contribución a la conferencia

Abidi, SR, Abidi, SSR, Hussain, S & Shepherd, M 2007, Ontology-based modeling of clinical practice guidelines: A clinical decision support system for breast cancer follow-up interventions at primary care settings. En MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics: Building Sustainable Health Systems. Studies in Health Technology and Informatics, vol. 129, IOS Press, pp. 845-849, 12th World Congress on Medical Informatics, MEDINFO 2007, Brisbane, QLD, Australia, 8/20/07.

Abidi SR, Abidi SSR, Hussain S, Shepherd M. Ontology-based modeling of clinical practice guidelines: A clinical decision support system for breast cancer follow-up interventions at primary care settings. En MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics: Building Sustainable Health Systems. IOS Press. 2007. p. 845-849. (Studies in Health Technology and Informatics).

Abidi, Samina R. ; Abidi, Syed S.R. ; Hussain, Sajjad et al. / Ontology-based modeling of clinical practice guidelines : A clinical decision support system for breast cancer follow-up interventions at primary care settings. MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics: Building Sustainable Health Systems. IOS Press, 2007. pp. 845-849 (Studies in Health Technology and Informatics).

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abstract = "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.",

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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

Resumen

Serie de la publicación

Conference

ASJC Scopus Subject Areas

ODS de las Naciones Unidas

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