Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Healthcare knowledge management: the art of the possible
AIME'07 Proceedings of the 2007 conference on Knowledge management for health care procedures
KICSS'10 Proceedings of the 5th international conference on Knowledge, information, and creativity support systems
Knowledge-based clinical pathway for medical quality improvement
Information Systems Frontiers
Hi-index | 0.00 |
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.