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

Authors:
Matt-Mouley Bouamrane;Alan Rector;Martin Hurrell
Affiliations:
School of Computer Science, Manchester University, UK and CIS Informatics, Glasgow, UK;School of Computer Science, Manchester University, UK;CIS Informatics, Glasgow, UK
Venue:
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
Year:
2009

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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.