Ontology Engineering to Model Clinical Pathways: Towards the Computerization and Execution of Clinical Pathways
Hurley, Katrina F.
Abidi, Syed Sibte Raza
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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.
Hurley, K. F., & Abidi, S. S. R. (June 20, 2007). Ontology Engineering to Model Clinical Pathways: Towards the Computerization and Execution of Clinical Pathways. in Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07) 2007 Conference Proceedings. 536-541.