Suppr超能文献

在一家大型三级护理医院实施用于计算机化药物处方录入的临床决策支持系统。

Implementation of a clinical decision support system for computerized drug prescription entries in a large tertiary care hospital.

作者信息

Zenziper Yael, Kurnik Daniel, Markovits Noa, Ziv Amitai, Shamiss Ari, Halkin Hillel, Loebstein Ronen

出版信息

Isr Med Assoc J. 2014 May;16(5):289-94.

Abstract

BACKGROUND

Prescription errors are common in hospitalized patients and result in significant morbidity, mortality and costs. Electronic prescriptions with computerized physician order entry systems (CPOE) and integrated computerized decision support systems (CDSS providing online alerts) reduce prescription errors by approximately 50%. However, the introduction of CDSS is often met by opposition due to the flood of alerts, and most prescribers eventually ignore even crucial alerts ("alert fatigue").

OBJECTIVES

To describe the implementation and customization of a commercial CDSS (SafeRx) for electronic prescribing in Internal Medicine departments at a tertiary care center, with the purpose of improving comprehensibility and substantially reducing the number of alerts to minimize alert fatigue.

METHODS

A multidisciplinary expert committee was authorized by the hospital administration to customize the CDSS according to the needs of six internal medicine departments at Sheba Medical Center. We assessed volume of prescriptions and alert types during the period February-August 2012 using the statistical functions provided by the CDSS.

RESULTS

A mean of 339 +/- 13 patients per month per department received 11.2 +/- 0.5 prescriptions per patient, 30.1% of which triggered one or more CDSS alerts, most commonly drug-drug interactions (43.2%) and dosing alerts (38.3%). The review committee silenced or modified 3981 alerts, enhancing comprehensibility, and providing dosing instructions adjusted to the patient's renal function and recommendations for follow-up.

CONCLUSIONS

The large volume of drug prescriptions in internal medicine departments is associated with a significant rate of potential prescription errors. To ensure its effectiveness and minimize alert fatigue, continuous customization of the CDSS to the specific needs of particular departments is required.

摘要

背景

处方错误在住院患者中很常见,会导致严重的发病率、死亡率和成本增加。配备计算机化医嘱录入系统(CPOE)和集成计算机化决策支持系统(提供在线警报的CDSS)的电子处方可将处方错误减少约50%。然而,CDSS的引入往往因警报过多而遭到反对,大多数开处方者最终甚至会忽略关键警报(“警报疲劳”)。

目的

描述在一家三级医疗中心的内科部门实施和定制用于电子处方的商业CDSS(SafeRx),目的是提高可理解性并大幅减少警报数量以尽量减少警报疲劳。

方法

医院管理部门授权一个多学科专家委员会根据舍巴医疗中心六个内科部门的需求定制CDSS。我们使用CDSS提供的统计功能评估了2012年2月至8月期间的处方量和警报类型。

结果

每个部门每月平均有339±13名患者,每位患者收到11.2±0.5张处方,其中30.1%触发了一个或多个CDSS警报,最常见的是药物相互作用(43.2%)和剂量警报(38.3%)。审查委员会对3981条警报进行了静音或修改,提高了可理解性,并提供了根据患者肾功能调整的剂量说明和随访建议。

结论

内科部门大量的药物处方与潜在处方错误的高发生率相关。为确保其有效性并尽量减少警报疲劳,需要根据特定部门的具体需求对CDSS进行持续定制。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验