Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling

Authors:
Samina Raza Abidi;Syed Sibte Abidi
Affiliations:
NICHE Research Group, Faculty of Computer Science, Dahousie University, Canada;NICHE Research Group, Faculty of Computer Science, Dahousie University, Canada
Venue:
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Year:
2009

Citing 6
Cited 5

Ontology Matching

Ontology Matching
IT support for healthcare processes - premises, challenges, perspectives

Data & Knowledge Engineering
Process-Oriented Knowledge Support in a Clinical Research Setting

CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
Ontology Engineering to Model Clinical Pathways: Towards the Computerization and Execution of Clinical Pathways

CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
Operationalizing Prostate Cancer Clinical Pathways: An Ontological Model to Computerize, Merge and Execute Institution-Specific Clinical Pathways

Knowledge Management for Health Care Procedures
Modeling the Form and Function of Clinical Practice Guidelines: An Ontological Model to Computerize Clinical Practice Guidelines

Knowledge Management for Health Care Procedures

Ontology-based knowledge modeling to provide decision support for comorbid diseases

KR4HC'10 Proceedings of the ECAI 2010 conference on Knowledge representation for health-care
Knowledge-driven delivery of home care services

Journal of Intelligent Information Systems
A knowledge-management architecture to integrate and to share medical and clinical data, information, and knowledge

KR4HC'09 Proceedings of the 2009 AIME international conference on Knowledge Representation for Health-Care: data, Processes and Guidelines
An ontology-based personalization of health-care knowledge to support clinical decisions for chronically ill patients

Journal of Biomedical Informatics
Mitigation of adverse interactions in pairs of clinical practice guidelines using constraint logic programming

Journal of Biomedical Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Decision support systems based on computerized Clinical Protocols (CP) and Clinical Practice Guidelines (CPG) fall short when dealing with patient co-morbidites, as this demands the concurrent merging of multiple CP/CPG. We present an ontology-based approach for the merging of CPG and CP at two levels---i.e. knowledge modeling level and knowledge execution level. We have developed specialized ontological modeling constructs to facilitate merging of CPG and CP. We demonstrate the merging of multiple location-specific CP and disease-specific CPG.