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首页> 外文期刊>Expert opinion on drug safety >A critical evaluation of clinical decision support for the detection of drug-drug interactions.
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A critical evaluation of clinical decision support for the detection of drug-drug interactions.

机译:对药物相互作用检测的临床决策支持的关键评估。

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摘要

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.
机译:简介:将临床决策支持系统(CDSS)纳入计算机医师订单输入程序可帮助开处方者进行药物剂量,重复疗法的识别,药物过敏警报和药物相互作用(DDI)。 DDI警报的生成是CDSS的一个方面,可以提高患者安全性并减少不良药物事件。覆盖的区域:当前DDI警报生成的问题,例如警报疲劳,临床意义不明确以及数据库不一致,是DDI警报中已发现的一些问题。研究表明,DDI警报可以通过警报分层,生成特定于患者的警报并将某些警报定向给除医生以外的临床医生来改善。应该在该领域进行更多研究,例如如何减少数据库评估系统的可变性,改善对临床意义重大的警报的识别并提高生成的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,例如DDI分层和降低信噪比,是未来研究的重要领域。最终用户的参与和临床医生的反馈意见应纳入DDI知识库的开发中,以提高警报遵从性。

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