Semi-automatic Generation of a Patient Preoperative Knowledge-Base from a Legacy Clinical Database

Matt-Mouley Bouamrane^1,2, Alan Rector¹, and Martin Hurrell²

¹School of Computer Science, Manchester University, UK
mBouamrane@cs.man.ac.uk
Rector@cs.man.ac.uk

²CIS Informatics, Glasgow, UK
martin.hurrell@informatics.co.uk

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.

LNCS 5871, p. 1224 ff.

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