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Integrating Healthcare Knowledge Artifacts for Clinical Decision Support: Towards Semantic
 

Summary: Integrating Healthcare Knowledge Artifacts for
Clinical Decision Support: Towards Semantic
Web Based Healthcare Knowledge Morphing
Sajjad Hussain and Syed Sibte Raza Abidi
NICHE Research Group, Faculty of Computer Science, Dahousie University, Canada
Abstract. Healthcare decision making demands the systematic inte-
gration of knowledge from multiple sources, such as clinical guidelines,
clinical pathways, knowledge of practitioners and so on. We present a
semantic web based approach for synthesizing health knowledge through
the semantic modeling of healthcare knowledge as ontologies and reason-
ing over the ontologies to derive a morphed knowledge object. We demon-
strate the application of our approach by generating morphed knowledge
about prostate cancer clinical pathways.
1 Introduction
Healthcare decision making during the diagnostic-treatment cycle is a com-
plex activity. Health professionals make clinical decisions by applying healthcare
knowledge that includes their experiential knowledge and explicit knowledge `ar-
tifacts', such as clinical practice guidelines, best evidence, clinical pathways and
so on [1]. One may note that each healthcare knowledge artifact captures specific
conceptual, contextual and operational aspects of a disease and corresponding

  

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

 

Collections: Computer Technologies and Information Sciences