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药物相互作用检测的临床决策支持的批判性评价。

A critical evaluation of clinical decision support for the detection of drug-drug interactions.

机构信息

University of Pittsburgh School of Pharmacy, Department of Pharmacy and Therapeutics, Critical Care Pharmacist, Medical Intensive Care Unit, UPMC, Pittsburgh, PA , USA.

出版信息

Expert Opin Drug Saf. 2011 Nov;10(6):871-82. doi: 10.1517/14740338.2011.583916. Epub 2011 May 4.

Abstract

INTRODUCTION

Incorporation of clinical decision support systems (CDSSs) into computerized physician order entry assists prescribers with medication dosing, identification of duplicate therapies, drug-allergy alerts and drug-drug interactions (DDIs). The generation of DDI alerts is one aspect of CDSS that may improve patient safety and reduce adverse drug events.

AREAS COVERED

Currents issues with the generation of DDI alerts, such as alert fatigue, unclear clinical significance and database inconsistencies are a few of the problems that have been identified with DDI alerting. Research has shown that DDI alerting may be improved through the tiering of alerts, generation of patient-specific alert and directing some alerts to clinicians other than physicians. More research in this area, such as how to decrease the variability of database rating systems, improve the identification of clinically significant alerts and increase the patient specificity of the generated DDI alerts, should be conducted.

EXPERT OPINION

DDI knowledgebases need to take into account more patient-specific information. Strategies to avoid alert fatigue, such as DDI tiering and reducing signal:noise ratios, are important areas for future study. End-user participation and clinician feedback should be incorporated in the development of DDI knowledgebases to increase alert compliance.

摘要

简介

将临床决策支持系统(CDSS)整合到计算机化医嘱输入系统中,可以帮助医师进行药物剂量调整、识别重复治疗、药物过敏警报和药物-药物相互作用(DDI)。DDI 警报的生成是 CDSS 的一个方面,它可以提高患者安全性并减少药物不良事件。

涵盖领域

DDI 警报生成中存在一些问题,例如警报疲劳、临床意义不明确和数据库不一致等。研究表明,通过分层警报、生成患者特定警报以及将某些警报发送给除医师以外的临床医生,可以改进 DDI 警报。在该领域还需要开展更多研究,例如如何减少数据库评级系统的可变性、提高有临床意义的警报的识别率以及增加生成的 DDI 警报的患者特异性。

专家意见

DDI 知识库需要考虑更多患者特定信息。避免警报疲劳的策略,如 DDI 分层和降低信号:噪声比,是未来研究的重要领域。应将最终用户的参与和临床医生的反馈纳入 DDI 知识库的开发中,以提高警报的合规性。

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