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Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling
 

Summary: Towards the Merging of Multiple Clinical Protocols
and Guidelines via Ontology-Driven Modeling
Samina Raza Abidi and Syed Sibte Raza Abidi
NICHE Research Group, Faculty of Computer Science, Dahousie University, Canada
Abstract. Decision support systems based on computerized Clinical Pro-
tocols (CP) and Clinical Practice Guidelines (CPG) fall short when deal-
ing with patient co-morbidites, as this demands the concurrent merg-
ing of multiple CP/CPG. We present an ontology-based approach for the
merging of CPG and CP at two levels­i.e. knowledge modeling level and
knowledge execution level. We have developed specialized ontological
modeling constructs to facilitate merging of CPG and CP. We demonstrate
the merging of multiple location-specific CP and disease-specific CPG.
1 Introduction
Clinical Protocols (CP) and Clinical Practice Guidelines (CPG) are evidence-
based knowledge artifacts that are designed to streamline institution-specific
processes and disease-specific recommendation, respectively. There are a num-
ber of initiatives to computerize these paper based resources to utilize them for
decision support and care planning in clinical setting at the point of care [1].
Notwithstanding the various successes in the computerization of these health-
care knowledge artifacts, the reality is that at execution time each CPG/CP need

  

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

 

Collections: Computer Technologies and Information Sciences