Semi-automatic generation of a patient preoperative knowledge-base from a legacy clinical database

Bouamrane, M.-M., Rector, A. and Hurrell, M. (2009) Semi-automatic generation of a patient preoperative knowledge-base from a legacy clinical database. Lecture Notes in Computer Science, 5871, pp. 1224-1237. (doi:10.1007/978-3-642-05151-7_34)

Full text not currently available from Enlighten.

Abstract

We discuss our practical experience of automating the process of migrating a clinical database with a weak underlying information model towards a high level representation of a patient medical history information in the Web Ontology Language (OWL). The purpose of this migration is to enable sophisticated clinical decision support functionalities based on semantic-web technologies, i.e. reasoning on a clinical ontology. We discuss the research and practical motivation behind this process, including improved interoperability and additional classification functionalities. We propose a methodology to optimise the efficiency of this process and provide practical implementation examples.

Item Type:Articles
Additional Information:Presented at the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009: On the Move to Meaningful Internet Systems: Part II, Vilamoura, Portugal, 3-5 Nov 2009
Keywords:Ontology and databases, reverse engineering, clinical decision support systems, preoperative assessment
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Bouamrane, Dr Matt-Mouley
Authors: Bouamrane, M.-M., Rector, A., and Hurrell, M.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
College/School:College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > General Practice and Primary Care
Journal Name:Lecture Notes in Computer Science
Publisher:Springer
ISSN:0302-9743

University Staff: Request a correction | Enlighten Editors: Update this record