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Ontology Engineering to Model Clinical Pathways: Towards the Computerization and Execution of Clinical Pathways
 

Summary: Ontology Engineering to Model Clinical Pathways: Towards the
Computerization and Execution of Clinical Pathways
Katrina F Hurley and Syed Sibte Raza Abidi
NICHE Research Group, Faculty of Computer Science, Dalhousie University,
Halifax, Canada
kfhurley@dal.ca & sraza@cs.dal.ca
Abstract
Clinical pathways translate evidence-based recommendations into locally practicable,
process-specific algorithms that reduce practice variations and optimize quality of care. Our
objective was to abstract practice-oriented knowledge from a cohort of real clinical pathways
and represent this knowledge as a clinical pathway ontology. We employed a four step
methodology: (1) knowledge source identification and classification of clinical pathways
according to variations in setting, stage of care, patient type, outcome and specialty; (2)
iterative knowledge abstraction using grounded theory; (3) ontology engineering as adapted
from the Model-based Incremental Knowledge Engineering approach; and, (4) ontology
evaluation through encoding a sample of real clinical pathways. We present our Clinical
Pathway Ontology that offers a detailed ontological model describing the structure and
function of clinical pathways. Our ontology can potentially integrate with a healthcare
semantic web, and ontologies for clinical practice guidelines, patients and institutions to form
the foundational knowledge for generating patient-specific CarePlans.

  

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

 

Collections: Computer Technologies and Information Sciences