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)

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 > School of Health & Wellbeing > General Practice and Primary Care
• Journal Name: Lecture Notes in Computer Science
• Publisher: Springer
• ISSN: 0302-9743