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本文引用的文献

1
The tradeoffs between safety and alert fatigue: Data from a national evaluation of hospital medication-related clinical decision support.权衡安全性与报警疲劳:来自全国范围内医院用药相关临床决策支持系统评估的数据。
J Am Med Inform Assoc. 2020 Aug 1;27(8):1252-1258. doi: 10.1093/jamia/ocaa098.
2
National Trends in the Safety Performance of Electronic Health Record Systems From 2009 to 2018.2009 年至 2018 年电子健康记录系统安全性能的国家趋势。
JAMA Netw Open. 2020 May 1;3(5):e205547. doi: 10.1001/jamanetworkopen.2020.5547.
3
The Development and Evaluation of an Electronic Health Record Efficiency Workshop for Providers.医疗机构电子病历效率工作坊的开发与评估。
Appl Clin Inform. 2020 Mar;11(2):336-341. doi: 10.1055/s-0040-1709509. Epub 2020 May 6.
4
Effect of an Electronic Medication Reconciliation Intervention on Adverse Drug Events: A Cluster Randomized Trial.电子药物重整干预对药物不良事件的影响:一项群组随机试验。
JAMA Netw Open. 2019 Sep 4;2(9):e1910756. doi: 10.1001/jamanetworkopen.2019.10756.
5
Assessing the safety of electronic health records: a national longitudinal study of medication-related decision support.评估电子健康记录的安全性:一项关于药物相关决策支持的全国性纵向研究。
BMJ Qual Saf. 2020 Jan;29(1):52-59. doi: 10.1136/bmjqs-2019-009609. Epub 2019 Jul 18.
6
An Evidence-Based Tool for Safe Configuration of Electronic Health Records: The eSafety Checklist.基于证据的电子健康记录安全配置工具:eSafety 清单。
Appl Clin Inform. 2018 Oct;9(4):817-830. doi: 10.1055/s-0038-1675210. Epub 2018 Nov 14.
7
Electronic Health Record Alert-Related Workload as a Predictor of Burnout in Primary Care Providers.电子健康记录警报相关工作量作为初级保健提供者职业倦怠的预测指标
Appl Clin Inform. 2017 Jul 5;8(3):686-697. doi: 10.4338/ACI-2017-01-RA-0003.
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Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system.临床决策支持系统中工作量、工作复杂性及重复警报对警报疲劳的影响。
BMC Med Inform Decis Mak. 2017 Apr 10;17(1):36. doi: 10.1186/s12911-017-0430-8.
9
Mind the Gap. A systematic review to identify usability and safety challenges and practices during electronic health record implementation.注意差距。一项旨在识别电子健康记录实施过程中的可用性和安全性挑战及实践的系统综述。
Appl Clin Inform. 2016 Nov 16;7(4):1069-1087. doi: 10.4338/ACI-2016-06-R-0105.
10
Impact of electronic medication reconciliation interventions on medication discrepancies at hospital transitions: a systematic review and meta-analysis.电子药物重整干预对医院转诊时用药差异的影响:一项系统评价和荟萃分析。
BMC Med Inform Decis Mak. 2016 Aug 22;16(1):112. doi: 10.1186/s12911-016-0353-9.

《移动电子健康记录评估工具的开发和试点:经验教训》

The Development and Piloting of the Ambulatory Electronic Health Record Evaluation Tool: Lessons Learned.

机构信息

Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States.

Harvard Business School, Boston, Massachusetts, United States.

出版信息

Appl Clin Inform. 2021 Jan;12(1):153-163. doi: 10.1055/s-0041-1722917. Epub 2021 Mar 3.

DOI:10.1055/s-0041-1722917
PMID:33657634
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7929716/
Abstract

BACKGROUND

Substantial research has been performed about the impact of computerized physician order entry on medication safety in the inpatient setting; however, relatively little has been done in ambulatory care, where most medications are prescribed.

OBJECTIVE

To outline the development and piloting process of the Ambulatory Electronic Health Record (EHR) Evaluation Tool and to report the quantitative and qualitative results from the pilot.

METHODS

The Ambulatory EHR Evaluation Tool closely mirrors the inpatient version of the tool, which is administered by The Leapfrog Group. The tool was piloted with seven clinics in the United States, each using a different EHR. The tool consists of a medication safety test and a medication reconciliation module. For the medication test, clinics entered test patients and associated test orders into their EHR and recorded any decision support they received. An overall percentage score of unsafe orders detected, and order category scores were provided to clinics. For the medication reconciliation module, clinics demonstrated how their EHR electronically detected discrepancies between two medication lists.

RESULTS

For the medication safety test, the clinics correctly alerted on 54.6% of unsafe medication orders. Clinics scored highest in the drug allergy (100%) and drug-drug interaction (89.3%) categories. Lower scoring categories included drug age (39.3%) and therapeutic duplication (39.3%). None of the clinics alerted for the drug laboratory or drug monitoring orders. In the medication reconciliation module, three (42.8%) clinics had an EHR-based medication reconciliation function; however, only one of those clinics could demonstrate it during the pilot.

CONCLUSION

Clinics struggled in areas of advanced decision support such as drug age, drug laboratory, and drub monitoring. Most clinics did not have an EHR-based medication reconciliation function and this process was dependent on accessing patients' medication lists. Wider use of this tool could improve outpatient medication safety and can inform vendors about areas of improvement.

摘要

背景

大量研究已经针对电子医嘱录入系统对住院环境下药物安全的影响展开,但在大多数药物都被开出的门诊环境中,相关研究相对较少。

目的

概述门诊电子健康记录(EHR)评估工具的开发和试点过程,并报告试点的定量和定性结果。

方法

门诊 EHR 评估工具与 The Leapfrog Group 管理的住院版本评估工具非常相似。该工具在全美 7 家诊所进行了试点,每家诊所都使用了不同的 EHR。该工具包括药物安全测试和药物重整模块。在药物测试中,诊所将测试患者及其相关测试医嘱输入到他们的 EHR 中,并记录他们收到的任何决策支持信息。诊所会收到一个不安全医嘱检测的总体百分比分数和订单类别分数。对于药物重整模块,诊所展示了他们的 EHR 如何通过电子方式检测两个药物清单之间的差异。

结果

在药物安全测试中,诊所正确警示了 54.6%的不安全药物医嘱。诊所在药物过敏(100%)和药物相互作用(89.3%)类别中得分最高。较低的评分类别包括药物年龄(39.3%)和治疗性重复用药(39.3%)。没有一家诊所对药物实验室或药物监测医嘱发出警示。在药物重整模块中,有 3 家(42.8%)诊所具有基于 EHR 的药物重整功能;但只有一家诊所能够在试点中演示该功能。

结论

诊所难以处理药物年龄、药物实验室和药物监测等高级决策支持领域的问题。大多数诊所没有基于 EHR 的药物重整功能,而且该过程依赖于获取患者的药物清单。更广泛地使用该工具可以提高门诊药物安全性,并为供应商提供改进方向的信息。