TY - GEN
T1 - A conceptual framework for ontology based automating and merging of clinical pathways of comorbidities
AU - Abidi, Samina Raza
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70350350700&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350350700&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-03262-2_5
DO - 10.1007/978-3-642-03262-2_5
M3 - Conference contribution
AN - SCOPUS:70350350700
SN - 3642032613
SN - 9783642032615
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 55
EP - 66
BT - Knowledge Management for Health Care Procedures - ECAI 2008 Workshop, K4HelP 2008, Revised Selected Papers
T2 - ECAI Workshop on Knowledge Management for Health Care Procedures, K4HelP 2008
Y2 - 21 July 2008 through 21 July 2008
ER -