医疗保健系统合作在电子病历中实施共同决策工具,并就该工具的采用和使用情况积累证据

IF 2.6 Q2 HEALTH POLICY & SERVICES Learning Health Systems Pub Date : 2024-04-15 DOI:10.1002/lrh2.10418
Megan E. Branda, Jennifer L. Ridgeway, Devin Mann, Jeff Wieser, Yvonne Gomez, Ashlee Dagoberg, Vivek Nautiyal, Hugh Jackson, Patrick Jahn, Kathy Yaple, Charanjit Khurana, Hooman Gharai, Briana Giese, Tate Corcoran, Victor Montori, Victor M. Montori
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引用次数: 0

摘要

共同决策(SDM)是一种患者和临床医生共同制定护理计划的护理方法。电子健康记录(EHR)整合 SDM 工具可提高 SDM 的采用率。我们在三个医疗保健系统的电子病历中对免费提供的电子 SDM 工具 "CV 预防选择 "进行了 "轻量级 "整合。在此,我们报告了医疗保健系统是如何合作实现整合的。这项工作是作为阶梯式楔形随机实用试验的一部分进行的。CV 预防选择 "是根据基于 HTML5 的网络应用指南开发的。医疗保健系统利用研究小组开发的文档将该工具集成到其 EHR 中,并在每个系统将电子 SDM 工具集成到其 EHR 中后根据经验教训对文档进行改进。CV 预防选择 "集成可在本地为工具填充患者个人数据,而无需在 EHR 和网络之间发送受保护的健康信息。第一个系统将 CV Prevention Choice 集成到 EHR 中的时间为 12.1 周,第二个系统为 10.4 周,第三个系统为 9.7 周。一个系统需要与研究小组成员举行两次 1 小时的会议,两个医疗系统只需要举行一次 1 小时的会议。医疗保健系统的信息技术团队通过共享信息和改进文档来开展合作。面临的挑战包括跟踪 CV 预防选择的使用情况以进行报告和获取联合用药。关于工具功能和资源映射的针对性文档支持了各医疗系统信息技术团队的合作,使他们能够在几乎不增加研究团队工作量或监督的情况下整合基于网络的 SDM 工具。他们的合作帮助克服了网络应用程序集成方面的困难,并解决了试验结果分析数据协调方面的难题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Healthcare systems collaborating to implement a shared decision-making tool in the electronic health record and build evidence on its adoption and use

Introduction

Shared decision-making (SDM) is a method of care by which patients and clinicians work together to co-create a plan of care. Electronic health record (EHR) integration of SDM tools may increase adoption of SDM. We conducted a “lightweight” integration of a freely available electronic SDM tool, CV Prevention Choice, within the EHRs of three healthcare systems. Here, we report how the healthcare systems collaborated to achieve integration.

Methods

This work was conducted as part of a stepped wedge randomized pragmatic trial. CV Prevention Choice was developed using guidelines for HTML5-based web applications. Healthcare systems integrated the tool in their EHR using documentation the study team developed and refined with lessons learned after each system integrated the electronic SDM tool into their EHR. CV Prevention Choice integration populates the tool with individual patient data locally without sending protected health information between the EHR and the web. Data abstraction and secure transfer systems were developed to manage data collection to assess tool implementation and effectiveness outcomes.

Results

Time to integrate CV Prevention Choice in the EHR was 12.1 weeks for the first system, 10.4 weeks for the second, and 9.7 weeks for the third. One system required two 1-hour meetings with study team members and two healthcare systems required a single 1-hour meeting. Healthcare system information technology teams collaborated by sharing information and offering improvements to documentation. Challenges included tracking CV Prevention Choice use for reporting and capture of combination medications. Data abstraction required refinements to address differences in how each healthcare system captured data elements.

Conclusion

Targeted documentation on tool features and resource mapping supported collaboration of IT teams across healthcare systems, enabling them to integrate a web-based SDM tool with little additional research team effort or oversight. Their collaboration helped overcome difficulties integrating the web application and address challenges to data harmonization for trial outcome analyses.

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来源期刊
Learning Health Systems
Learning Health Systems HEALTH POLICY & SERVICES-
CiteScore
5.60
自引率
22.60%
发文量
55
审稿时长
20 weeks
期刊最新文献
Issue Information Envisioning public health as a learning health system Thanks to our peer reviewers Learning health systems to implement chronic disease prevention programs: A novel framework and perspectives from an Australian health service The translation-to-policy learning cycle to improve public health
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