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Intelligent Decision Support for Medication Review

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posted on 2023-05-28, 01:16 authored by Bindoff, IK, Peter TenniPeter Tenni, Kang, BH, Gregory PetersonGregory Peterson
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.

History

Publication title

Advances in Knowledge Acquisition and Management

Series

Lecture Notes in Artificial Intelligence

Volume

4303

Pagination

120-131

ISBN

3540689559

Publisher

Springer

Publication status

  • Published

Place of publication

Guilin, China

Repository Status

  • Restricted

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