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在三个医疗中心实施 PROMIS 测量应用程序编程接口。

Implementing an Application Programming Interface for PROMIS Measures at Three Medical Centers.

机构信息

Department of Medical Social Science, Northwestern University, Chicago, Illinois, United States.

Department of Orthopaedic Surgery, Washington University School of Medicine, St Louis, Missouri, United States.

出版信息

Appl Clin Inform. 2021 Oct;12(5):979-983. doi: 10.1055/s-0041-1736464. Epub 2021 Oct 20.

DOI:10.1055/s-0041-1736464
PMID:34670293
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8528565/
Abstract

BACKGROUND

There is an increasing body of literature advocating for the collection of patient-reported outcomes (PROs) in clinical care. Unfortunately, there are many barriers to integrating PRO measures, particularly computer adaptive tests (CATs), within electronic health records (EHRs), thereby limiting access to advances in PRO measures in clinical care settings.

OBJECTIVE

To address this obstacle, we created and evaluated a software integration of an Application Programming Interface (API) service for administering and scoring Patient-Reported Outcomes Measurement Information System (PROMIS) measures with the EHR system.

METHODS

We created a RESTful API and evaluated the technical feasibility and impact on clinical workflow at three academic medical centers.

RESULTS

Collaborative teams (i.e., clinical, information technology [IT] and administrative staff) performed these integration efforts addressing issues such as software integration as well as impact on clinical workflow. All centers considered their implementation successful based on the high rate of completed PROMIS assessments (between January 2016 and January 2021) and minimal workflow disruptions.

CONCLUSION

These case studies demonstrate not only the feasibility but also the pathway for the integration of PROMIS CATs into the EHR and routine clinical care. All sites utilized diverse teams with support and commitment from institutional leadership, initial implementation in a single clinic, a process for monitoring and optimization, and use of custom software to minimize staff burden and error.

摘要

背景

越来越多的文献提倡在临床护理中收集患者报告的结果(PROs)。不幸的是,将 PRO 测量,特别是计算机自适应测试(CAT)整合到电子健康记录(EHR)中存在许多障碍,从而限制了在临床护理环境中使用 PRO 测量的进展。

目的

为了解决这一障碍,我们创建并评估了一种应用程序编程接口(API)服务的软件集成,用于通过电子病历系统管理和评分患者报告的结果测量信息系统(PROMIS)测量。

方法

我们创建了一个 RESTful API,并在三个学术医疗中心评估了其技术可行性和对临床工作流程的影响。

结果

协作团队(即临床、信息技术[IT]和行政人员)进行了这些集成工作,解决了软件集成以及对临床工作流程的影响等问题。所有中心都认为他们的实施是成功的,因为 PROMIS 评估的完成率很高(2016 年 1 月至 2021 年 1 月之间),并且对工作流程的干扰最小。

结论

这些案例研究不仅展示了将 PROMIS CAT 集成到 EHR 和常规临床护理中的可行性,还展示了其实现途径。所有站点都利用了多元化的团队,得到了机构领导层的支持和承诺,最初在单个诊所实施,有一个监测和优化的过程,并使用定制软件来最小化员工负担和错误。

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本文引用的文献

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J Clin Transl Sci. 2020 Apr 6;4(6):498-507. doi: 10.1017/cts.2020.37.
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Implementation of Electronic Patient-Reported Outcomes in Routine Cancer Care at an Academic Center: Identifying Opportunities and Challenges.在学术中心常规癌症护理中实施电子患者报告结局:确定机遇和挑战。
JCO Oncol Pract. 2020 Nov;16(11):e1255-e1263. doi: 10.1200/OP.20.00357. Epub 2020 Sep 14.
3
Factors Associated With Increased Collection of Patient-Reported Outcomes Within a Large Health Care System.与大型医疗保健系统内患者报告结局增加相关的因素。
JAMA Netw Open. 2020 Apr 1;3(4):e202764. doi: 10.1001/jamanetworkopen.2020.2764.
4
A Clinically Integrated mHealth App and Practice Model for Collecting Patient-Reported Outcomes between Visits for Asthma Patients: Implementation and Feasibility.用于在哮喘患者就诊之间收集患者报告结局的临床整合型移动医疗应用和实践模式:实施和可行性。
Appl Clin Inform. 2019 Oct;10(5):783-793. doi: 10.1055/s-0039-1697597. Epub 2019 Oct 16.
5
Composer-Visual Cohort Analysis of Patient Outcomes.作曲者-患者结局的可视化队列分析。
Appl Clin Inform. 2019 Mar;10(2):278-285. doi: 10.1055/s-0039-1687862. Epub 2019 Apr 24.
6
Provider perspectives on the integration of patient-reported outcomes in an electronic health record.医疗服务提供者对患者报告结局纳入电子健康记录的看法。
JAMIA Open. 2019 Apr;2(1):73-80. doi: 10.1093/jamiaopen/ooz001. Epub 2019 Jan 30.
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Appl Clin Inform. 2018 Jul;9(3):565-575. doi: 10.1055/s-0038-1667041. Epub 2018 Aug 1.
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