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.
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Bouamrane, MM., Rector, A., Hurrell, M. (2009). A Hybrid Architecture for a Preoperative Decision Support System Using a Rule Engine and a Reasoner on a Clinical Ontology. In: Polleres, A., Swift, T. (eds) Web Reasoning and Rule Systems. RR 2009. Lecture Notes in Computer Science, vol 5837. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05082-4_17
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DOI: https://doi.org/10.1007/978-3-642-05082-4_17
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