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临床决策支持系统 MedGuard 中药物-疾病相互作用警报对患者安全的临床实用性:一项单中心研究。

Clinical Usefulness of Drug-Disease Interaction Alerts from a Clinical Decision Support System, MedGuard, for Patient Safety: A Single Center Study.

机构信息

Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.

International Center for Health and Information Technology, Taipei Medical University, Taipei, Taiwan.

出版信息

Stud Health Technol Inform. 2022 Jun 6;290:326-329. doi: 10.3233/SHTI220089.

Abstract

Clinical decision support systems have been widely used in healthcare, yet few studies have concurrently measured the clinical effectiveness of CDSSs, and the appropriateness of alerts with physicians' response to alerts. We conducted a retrospective analysis of prescriptions caused disease-medication related alerts. Medication orders for outpatients' prescriptions, all aged group were included in this study. All the prescriptions were reviewed, and medication orders compared with a widely used medication reference (UpToDate) and other standard guidelines. We reviewed 1,409 CDS alerts (2.67% alert rate) on 52,654 prescriptions ordered during the study period. 545 (38.70%) of alerts were overridden. Override appropriateness was 2.20% overall. However, the rate of alert acceptance was higher, ranging from 11.11 to 92.86%. The MedGuard system had a lower overridden rate than other systems reported in previous studies. The acceptance rate of alerts by physicians was high. Moreover, false-positive rate was low. The MedGuard system has the potential to reduce alert fatigue and to minimize the risk of patient harm.

摘要

临床决策支持系统已在医疗保健领域得到广泛应用,但很少有研究同时衡量 CDSS 的临床效果以及警报与医生对警报的反应之间的适宜性。我们对导致疾病-药物相关警报的处方进行了回顾性分析。本研究纳入了所有年龄组的门诊患者处方的药物医嘱。所有的处方都经过了审查,并与广泛使用的药物参考资料(UpToDate)和其他标准指南进行了比较。在研究期间,我们共审查了 52654 张处方中的 1409 个 CDS 警报(警报率为 2.67%)。有 545 个(38.70%)警报被忽略。总体而言,忽略的适宜性为 2.20%。然而,警报的接受率较高,范围从 11.11%到 92.86%。与之前研究中报告的其他系统相比,MedGuard 系统的忽略率较低。医生接受警报的比率很高。此外,假阳性率也较低。MedGuard 系统有可能减少警报疲劳并最大程度地降低患者伤害的风险。

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