Integrating a Patient Decision Aid into the Electronic Health Record: A Case Report on the Implementation of BREASTChoice at 2 Sites.

MDM policy & practice Pub Date : 2022-10-08 eCollection Date: 2022-07-01 DOI:10.1177/23814683221131317
Clara N Lee, Janessa Sullivan, Randi Foraker, Terence M Myckatyn, Margaret A Olsen, Crystal Phommasathit, Jessica Boateng, Katelyn L Parrish, Milisa Rizer, Tim Huerta, Mary C Politi
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Abstract

Patient decision aids can support shared decision making and improve decision quality. However, decision aids are not widely used in clinical practice due to multiple barriers. Integrating patient decision aids into the electronic health record (EHR) can increase their use by making them more clinically relevant, personalized, and actionable. In this article, we describe the procedures and considerations for integrating a patient decision aid into the EHR, based on the example of BREASTChoice, a decision aid for breast reconstruction after mastectomy. BREASTChoice's unique features include 1) personalized risk prediction using clinical data from the EHR, 2) clinician- and patient-facing components, and 3) an interactive format. Integrating a decision aid with patient- and clinician-facing components plus interactive sections presents unique deployment issues. Based on this experience, we outline 5 key implementation recommendations: 1) engage all relevant stakeholders, including patients, clinicians, and informatics experts; 2) explicitly and continually map all persons and processes; 3) actively seek out pertinent institutional policies and procedures; 4) plan for integration to take longer than development of a stand-alone decision aid or one with static components; and 5) transfer knowledge about the software programming from one institution to another but expect local and context-specific changes. Integration of patient decision aids into the EHR is feasible and scalable but requires preparation for specific challenges and a flexible mindset focused on implementation.

Highlights: Integrating an interactive decision aid with patient- and clinician-facing components into the electronic health record could advance shared decision making but presents unique implementation challenges.We successfully integrated a decision aid for breast reconstruction after mastectomy called BREASTChoice into the electronic health record.Based on this experience, we offer these implementation recommendations: 1) engage relevant stakeholders, 2) explicitly and continually map persons and processes, 3) seek out institutional policies and procedures, 4) plan for it to take longer than for a stand-alone decision aid, and 5) transfer software programming from one site to another but expect local changes.

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将患者决策辅助集成到电子健康记录中:关于在2个地点实施乳房选择的案例报告。
患者辅助决策可以支持共同决策,提高决策质量。然而,决策辅助工具由于存在诸多障碍,在临床实践中并未得到广泛应用。将患者决策辅助工具集成到电子健康记录(EHR)中,可以使其更具临床相关性、个性化和可操作性,从而提高其使用率。在这篇文章中,我们以乳房切除术后乳房重建的决策辅助工具BREASTChoice为例,描述了将患者决策辅助工具整合到电子病历中的程序和注意事项。BREASTChoice的独特功能包括:1)利用电子病历中的临床数据进行个性化风险预测;2)面向临床医生和患者的组件;3)交互式格式。将决策辅助与面向患者和临床医生的组件以及交互式部分集成在一起,提出了独特的部署问题。基于这一经验,我们概述了5个关键的实施建议:1)让所有相关利益相关者参与,包括患者、临床医生和信息学专家;2)明确和持续地映射所有人员和过程;3)积极寻求相关的制度政策和程序;4)集成计划比开发独立决策辅助工具或具有静态组件的决策辅助工具所需的时间更长;5)将关于软件编程的知识从一个机构转移到另一个机构,但要预料到当地和具体情况的变化。将患者决策辅助工具整合到电子病历中是可行且可扩展的,但需要为具体挑战做好准备,并在实施过程中保持灵活的心态。重点:将面向患者和临床医生组件的交互式决策辅助集成到电子健康记录中可以促进共享决策,但在实施方面存在独特的挑战。我们成功地将乳房切除术后乳房重建的决策辅助工具“BREASTChoice”整合到电子健康记录中。基于这些经验,我们提供了这些实现建议:1)参与相关的利益相关者,2)明确和持续地绘制人员和过程,3)寻找制度政策和程序,4)计划它比独立的决策辅助需要更长的时间,以及5)将软件编程从一个站点转移到另一个站点,但期望局部变化。
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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