A clinical practice guideline-based ontology driven clinical decision support system for breast cancer follow-up

Samina Raza Abidi, Michael Shepherd

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1 Citation (Scopus)

Résumé

Breast cancer is the most common cancer among women in Canada. The delivery of longterm follow-up care, has traditionally been provided at dedicated cancer clinics but places a strain on specialist resources. As a result there is an incentive to transfer breast cancer follow-up care to family physicians after primary treatment is completed by specialists. Cancer Care in Nova Scotia has developed a breast cancer follow-up clinical practice guideline (CPG) for use by family physicians. We have used this as the basis for developing a CPG-based interactive decision support system for use by family practitioners. The system has been achieved in three main steps: (i) Conversion of the breast cancer follow-up CPG into an electronic format using the Guideline Element Model (GEM); (ii) Use of the logic in the conditional statements of the CPG to develop a domain ontology using Protégé; (iii) Execution of the guideline using a GEM execution engine developed at Dalhousie University.

Langue d'origineEnglish
Pages (de-à)23-32
Nombre de pages10
JournalJournal on Information Technology in Healthcare
Volume6
Numéro de publication1
Statut de publicationPublished - févr. 1 2008

ASJC Scopus Subject Areas

  • Health Informatics
  • Health Information Management

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