Abstract
In this paper we present a conceptual framework for ontology based knowledge representation and merging of Clinical Pathways (CP) of comorbidities. Paper based CP are static documents which do not have adaptability to accommodate dynamic changes in a patient’s conditions, particularly in case of co-morbidity, since most CP are focused on a single disease management. Our approach to computerize and merge CP of comorbidities for decision support purpose include; 1. Representation of comorbidity CP as OWL ontologies, 2. Merging ontologies along common tasks, 3. Execution of merged ontology using OWL reasoner to provide CP mediated decision support, 4. Evaluation of recommendations by instantiating the ontology with comorbidity scenarios. Most challenging and unique aspect of this research is that it involves the dynamic integration of computerized CP of two concurrent comorbid diseases, whilst maintaining clinical pragmatics and medical correctness. We believe that Semantic Web has enormous potential to achieve this goal.
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Abidi, S.R. (2009). A Conceptual Framework for Ontology Based Automating and Merging of Clinical Pathways of Comorbidities. In: Riaño, D. (eds) Knowledge Management for Health Care Procedures. K4HelP 2008. Lecture Notes in Computer Science(), vol 5626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03262-2_5
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DOI: https://doi.org/10.1007/978-3-642-03262-2_5
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