A Hybrid Architecture for a Preoperative Decision Support System Using a Rule Engine and a Reasoner on a Clinical Ontology

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:
RR '09 Proceedings of the 3rd International Conference on Web Reasoning and Rule Systems
Year:
2009

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Abstract

We report on a preventive care software system for preoperative risk assessment of patient undergoing elective surgery. The system combines a rule engine and a reasoner which uses a decision support ontology developed with a logic based knowledge representation formalism. We specifically discuss our experience of using a representation of a patient's medical history in OWL, combined with a reasoning tool to suggest appropriate preoperative tests based on an implementation of preoperative assessment guidelines. We illustrate the reasoning functionalities of the system with a number of practical examples.