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本文引用的文献

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The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database.退伍军人事务部精准肿瘤学数据储存库,一个临床、基因组和影像研究数据库。
Patterns (N Y). 2020 Aug 17;1(6):100083. doi: 10.1016/j.patter.2020.100083. eCollection 2020 Sep 11.
2
Pragmatic Trials in Genomic Medicine: The Integrating Pharmacogenetics In Clinical Care (I-PICC) Study.基因组医学中的实用临床试验:整合药物基因组学于临床照护(I-PICC)研究。
Clin Transl Sci. 2020 Mar;13(2):381-390. doi: 10.1111/cts.12723. Epub 2019 Dec 18.
3
The Veterans Precision Oncology Data Commons: Transforming VA data into a national resource for research in precision oncology.退伍军人精准肿瘤学数据公共平台:将退伍军人事务部的数据转化为精准肿瘤学研究的国家资源。
Semin Oncol. 2019 Aug-Oct;46(4-5):314-320. doi: 10.1053/j.seminoncol.2019.09.002. Epub 2019 Oct 2.
4
Clinical Trial Data Management Software: A Review of the Technical Features.临床试验数据管理软件:技术特性综述
Rev Recent Clin Trials. 2019;14(3):160-172. doi: 10.2174/1574887114666190207151500.
5
The PRECIS-2 tool: designing trials that are fit for purpose.PRECIS-2工具:设计符合目的的试验。
BMJ. 2015 May 8;350:h2147. doi: 10.1136/bmj.h2147.
6
Implementation of the Department of Veterans Affairs' first point-of-care clinical trial.退伍军人事务部首个即时护理临床试验的实施。
J Am Med Inform Assoc. 2012 Jun;19(e1):e170-6. doi: 10.1136/amiajnl-2011-000623. Epub 2012 Feb 24.
7
Pragmatic randomised trials using routine electronic health records: putting them to the test.实用随机临床试验使用常规电子健康记录:对其进行测试。
BMJ. 2012 Feb 7;344:e55. doi: 10.1136/bmj.e55.
8
A point-of-care clinical trial comparing insulin administered using a sliding scale versus a weight-based regimen.一项即时护理临床试验,比较了使用滑动量表和基于体重的方案给予胰岛素的效果。
Clin Trials. 2011 Apr;8(2):183-95. doi: 10.1177/1740774511398368.
9
Renewed interest in chlorthalidone: evidence from the Veterans Health Administration.对氯噻酮的重新关注:来自退伍军人健康管理局的证据。
J Clin Hypertens (Greenwich). 2010 Dec;12(12):927-34. doi: 10.1111/j.1751-7176.2010.00373.x. Epub 2010 Aug 30.
10
The clinically-integrated randomized trial: proposed novel method for conducting large trials at low cost.临床整合随机试验:一种以低成本开展大型试验的新方法。
Trials. 2009 Mar 5;10:14. doi: 10.1186/1745-6215-10-14.

项目流程:一种用于即时护理研究的可配置工作流程管理应用程序。

ProjectFlow: a configurable workflow management application for point of care research.

作者信息

Dhond Rupali, Elbers Danne, Majahalme Nilla, Dipietro Svitlana, Goryachev Sergey, Acher Ryan, Leatherman Sarah, Anglin-Foote Tori, Liu Qingzhu, Su Shaoyu, Seerapu Ramana, Hall Robert, Ferguson Ryan, Brophy Mary T, Ferraro Jeff, DuVall Scott L, Do Nhan V

机构信息

VA Boston Healthcare System, Boston, Massachusetts, USA.

VA Salt Lake City Healthcare System, Salt Lake City, Utah, USA.

出版信息

JAMIA Open. 2021 Sep 2;4(3):ooab074. doi: 10.1093/jamiaopen/ooab074. eCollection 2021 Jul.

DOI:10.1093/jamiaopen/ooab074
PMID:34485848
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8411372/
Abstract

OBJECTIVE

To best meet our point-of-care research (POC-R) needs, we developed ProjectFlow, a configurable, clinical research workflow management application. In this article, we describe ProjectFlow and how it is used to manage study processes for the Diuretic Comparison Project (DCP) and the Research Precision Oncology Program (RePOP).

MATERIALS AND METHODS

The Veterans Health Administration (VHA) is the largest integrated health care system in the United States. ProjectFlow is a flexible web-based workflow management tool specifically created to facilitate conduct of our clinical research initiatives within the VHA. The application was developed using the Grails web framework and allows researchers to create custom workflows using Business Process Model and Notation.

RESULTS

As of January 2021, ProjectFlow has facilitated management of study recruitment, enrollment, randomization, and drug orders for over 10 000 patients for the DCP clinical trial. It has also helped us evaluate over 3800 patients for recruitment and enroll over 370 of them into RePOP for use in data sharing partnerships and predictive analytics aimed at optimizing cancer treatment in the VHA.

DISCUSSION

The POC-R study design embeds research processes within day-to-day clinical care and leverages longitudinal electronic health record (EHR) data for study recruitment, monitoring, and outcome reporting. Software that allows flexibility in study workflow creation and integrates with enterprise EHR systems is critical to the success of POC-R.

CONCLUSIONS

We developed a flexible web-based informatics solution called ProjectFlow that supports custom research workflow configuration and has ability to integrate data from existing VHA EHR systems.

摘要

目的

为了最好地满足我们的即时护理研究(POC-R)需求,我们开发了ProjectFlow,这是一个可配置的临床研究工作流程管理应用程序。在本文中,我们描述了ProjectFlow以及它如何用于管理利尿剂比较项目(DCP)和精准肿瘤研究项目(RePOP)的研究流程。

材料与方法

退伍军人健康管理局(VHA)是美国最大的综合医疗保健系统。ProjectFlow是一个灵活的基于网络的工作流程管理工具,专门为促进我们在VHA内的临床研究计划而创建。该应用程序使用Grails网络框架开发,允许研究人员使用业务流程模型和符号创建自定义工作流程。

结果

截至2021年1月,ProjectFlow已为DCP临床试验的10000多名患者的研究招募、入组、随机分组和药物订单管理提供了便利。它还帮助我们评估了3800多名患者以进行招募,并将其中370多名患者纳入RePOP,用于数据共享伙伴关系和预测分析,旨在优化VHA中的癌症治疗。

讨论

POC-R研究设计将研究流程嵌入日常临床护理中,并利用纵向电子健康记录(EHR)数据进行研究招募、监测和结果报告。允许在研究工作流程创建中具有灵活性并与企业EHR系统集成的软件对于POC-R的成功至关重要。

结论

我们开发了一个名为ProjectFlow的灵活的基于网络的信息学解决方案,它支持自定义研究工作流程配置,并能够集成来自现有VHA EHR系统的数据。