Suppr超能文献

电子生成式证据模型:多中心临床数据研究的成功途径

eGEMs: Pathways to Success for Multisite Clinical Data Research.

作者信息

McGraw Jd Deven C, Leiter Jd Alice B

机构信息

Center for Democracy and Technology.

出版信息

EGEMS (Wash DC). 2013 Sep 19;1(1):1041. doi: 10.13063/2327-9214.1041. eCollection 2013.

Abstract

There are numerous and significant challenges associated with leveraging electronic clinical data (ECD) for purposes beyond treating an individual patient and getting paid for that care. Optimizing this secondary use of clinical data is a key underpinning of many health reform goals and triggers numerous issues related to data stewardship and, more broadly, data governance. These challenges often involve legal, policy, and procedural issues related to the access, use, and disclosure of electronic health record (EHR) data for quality improvement and research. This paper contributes to the ongoing discussion of health data governance by detailing the experiences of nine multisite research initiatives across the country. The rich set of experiences from these initiatives, as well as a number of resources used by project participants to work through various challenges, are documented and collected here for others wishing to learn from their collective efforts. The paper does not attempt to catalog the full spectrum of governance issues that could potentially surface in the course of multisite research projects using ECD. Rather, the goal was to provide a snapshot in time of data-sharing challenges and navigation strategies, as well as validation that privacy-protective, legally compliant clinical data sharing across sites is currently possible. Finally, the paper also provides a foundation and framing for a broader community resource on governance-a "governance toolkit"-that will create a virtual space for the further discussion and sharing of promising practices.

摘要

将电子临床数据(ECD)用于治疗个体患者及获取该治疗费用以外的目的,存在诸多重大挑战。优化临床数据的这种二次利用是许多医疗改革目标的关键支撑,并引发了诸多与数据管理以及更广泛的数据治理相关的问题。这些挑战通常涉及与电子健康记录(EHR)数据的访问、使用和披露相关的法律、政策和程序问题,以用于质量改进和研究。本文通过详细介绍全国九个多中心研究项目的经验,为正在进行的健康数据治理讨论做出了贡献。这些项目丰富的经验集,以及项目参与者用于应对各种挑战的一些资源,在此记录并收集起来,供其他希望从他们的集体努力中学习的人参考。本文并未试图罗列在使用ECD的多中心研究项目过程中可能出现的所有治理问题。相反,目标是及时呈现数据共享挑战和导航策略的概况,以及验证目前跨站点进行隐私保护、符合法律规定的临床数据共享是可行的。最后,本文还为一个更广泛的关于治理的社区资源——“治理工具包”——提供了基础和框架,该工具包将创建一个虚拟空间,用于进一步讨论和分享有前景的实践。

相似文献

1
eGEMs: Pathways to Success for Multisite Clinical Data Research.
EGEMS (Wash DC). 2013 Sep 19;1(1):1041. doi: 10.13063/2327-9214.1041. eCollection 2013.
4
The future of Cochrane Neonatal.
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
5
The project data sphere initiative: accelerating cancer research by sharing data.
Oncologist. 2015 May;20(5):464-e20. doi: 10.1634/theoncologist.2014-0431. Epub 2015 Apr 15.
6
Data governance and data sharing agreements for community-wide health information exchange: lessons from the beacon communities.
EGEMS (Wash DC). 2014 Apr 23;2(1):1057. doi: 10.13063/2327-9214.1057. eCollection 2014.
7
Building a Governance Strategy for CER: The Patient Outcomes Research to Advance Learning (PORTAL) Network Experience.
EGEMS (Wash DC). 2016 Mar 28;4(2):1216. doi: 10.13063/2327-9214.1216. eCollection 2016.
8
eGEMs' Early Adventures in Open Access Publishing.
EGEMS (Wash DC). 2014 Oct 9;2(1):1157. doi: 10.13063/2327-9214.1157. eCollection 2014.
10
eGEMs: Pragmatic Publishing to Build a Learning Health System.
EGEMS (Wash DC). 2012 Dec 20;1(1):1001. doi: 10.13063/2327-9214.1001. eCollection 2013.

引用本文的文献

1
Caribbean data-sharing initiatives: activities of the Eastern Caribbean Health Outcomes Research Network.
Rev Panam Salud Publica. 2024 Dec 16;48:e121. doi: 10.26633/RPSP.2024.121. eCollection 2024.
3
Artificial intelligence in neuroradiology: a scoping review of some ethical challenges.
Front Radiol. 2023 May 15;3:1149461. doi: 10.3389/fradi.2023.1149461. eCollection 2023.
5
Developing electronic data methods infrastructure to participate in collaborative research networks.
EGEMS (Wash DC). 2014 Dec 2;2(1):1126. doi: 10.13063/2327-9214.1126. eCollection 2014.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验