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Intelligent Decision Support for Medication Review

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Bindoff, IK, Tenni, PC, Kang, BH and Peterson, GM 2006 , 'Intelligent Decision Support for Medication Review', in Achim Hoffman and Byeong Ho Kang and Debbie Richards and Shusaku Tsumoto (eds.), Advances in Knowledge Acquisition and Management , Lecture Notes in Artificial Intelligence, vol. 4303 , Springer, Guilin, China, pp. 120-131.

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Abstract

This paper examines an implementation of a Multiple Classification Ripple Down Rules system which can be used to provide quality Decision Support Services to pharmacists practicing medication reviews (MRs), particularly for high risk patients. The system was trained on 84 genuine cases by an expert in the field; over the course of 15 hours the system had learned 197 rules and was considered to encompass around 60% of the domain. Furthermore, the system was found able to improve the quality and consistency of the medication review reports produced, as it was shown that there was a high incidence of missed classifications under normal conditions, which were repaired by the system automatically.

Item Type: Book Section
Authors/Creators:Bindoff, IK and Tenni, PC and Kang, BH and Peterson, GM
Keywords: artficial intelligence, knowledge acquisition, medication review, adverse drug events, RDR, MCRDR
Publisher: Springer
DOI / ID Number: 10.1007/11961239_11
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