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Intelligent Decision Support for Medication Review

机译:药物审查的智能决策支持

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摘要

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.
机译:本文研究了多分类波纹下降规则系统的实现,该系统可用于为从事药物审查(MR)的药剂师,特别是针对高危患者的药剂师,提供优质的决策支持服务。该系统由该领域的专家对84个真实案例进行了培训;在15小时的过程中,该系统学习了197条规则,被认为涵盖了大约60%的域。此外,发现该系统能够提高所产生的药物审阅报告的质量和一致性,因为它表明在正常情况下遗漏分类的可能性很高,并由系统自动修复。

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