Suppr超能文献

实时用户反馈支持临床决策支持系统的改进。

Real-Time User Feedback to Support Clinical Decision Support System Improvement.

机构信息

Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States.

Digital, Mass General Brigham, Boston, Massachusetts, United States.

出版信息

Appl Clin Inform. 2022 Oct;13(5):1024-1032. doi: 10.1055/s-0042-1757923. Epub 2022 Oct 26.

Abstract

OBJECTIVES

To improve clinical decision support (CDS) by allowing users to provide real-time feedback when they interact with CDS tools and by creating processes for responding to and acting on this feedback.

METHODS

Two organizations implemented similar real-time feedback tools and processes in their electronic health record and gathered data over a 30-month period. At both sites, users could provide feedback by using Likert feedback links embedded in all end-user facing alerts, with results stored outside the electronic health record, and provide feedback as a comment when they overrode an alert. Both systems are monitored daily by clinical informatics teams.

RESULTS

The two sites received 2,639 Likert feedback comments and 623,270 override comments over a 30-month period. Through four case studies, we describe our use of end-user feedback to rapidly respond to build errors, as well as identifying inaccurate knowledge management, user-interface issues, and unique workflows.

CONCLUSION

Feedback on CDS tools can be solicited in multiple ways, and it contains valuable and actionable suggestions to improve CDS alerts. Additionally, end users appreciate knowing their feedback is being received and may also make other suggestions to improve the electronic health record. Incorporation of end-user feedback into CDS monitoring, evaluation, and remediation is a way to improve CDS.

摘要

目的

通过允许用户在与临床决策支持 (CDS) 工具交互时提供实时反馈,并创建响应和处理反馈的流程,来改进 CDS。

方法

两个组织在其电子健康记录中实施了类似的实时反馈工具和流程,并在 30 个月的时间内收集数据。在这两个站点,用户都可以通过使用嵌入在所有面向最终用户的警报中的李克特反馈链接提供反馈,反馈结果存储在电子健康记录之外,并且可以在覆盖警报时提供反馈作为评论。两个系统都由临床信息学团队每天进行监控。

结果

两个站点在 30 个月内共收到 2639 条李克特反馈评论和 623270 条覆盖评论。通过四个案例研究,我们描述了我们如何使用最终用户反馈来快速响应构建错误,以及识别不准确的知识管理、用户界面问题和独特的工作流程。

结论

可以通过多种方式征求对 CDS 工具的反馈,并且反馈中包含有价值且可操作的建议,以改进 CDS 警报。此外,最终用户很欣赏知道他们的反馈已被收到,并且可能还会提出其他建议来改进电子健康记录。将最终用户反馈纳入 CDS 监测、评估和修复是改进 CDS 的一种方法。

相似文献

10
The Value of Monitoring Clinical Decision Support Interventions.监测临床决策支持干预措施的价值
Appl Clin Inform. 2018 Jan;9(1):163-173. doi: 10.1055/s-0038-1632397. Epub 2018 Mar 7.

引用本文的文献

本文引用的文献

6
Reducing Interruptive Alert Burden Using Quality Improvement Methodology.利用质量改进方法减少干扰性警报负担。
Appl Clin Inform. 2020 Jan;11(1):46-58. doi: 10.1055/s-0039-3402757. Epub 2020 Jan 15.
7
Towards a Maturity Model for Clinical Decision Support Operations.迈向临床决策支持运营的成熟度模型。
Appl Clin Inform. 2019 Oct;10(5):810-819. doi: 10.1055/s-0039-1697905. Epub 2019 Oct 30.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验