为共享和访问真实数据建立数据治理:一个案例研究。

IF 3.4 Q2 HEALTH CARE SCIENCES & SERVICES
JAMIA Open Pub Date : 2025-06-23 eCollection Date: 2025-06-01 DOI:10.1093/jamiaopen/ooaf041
Heath A Davis, Diva Kerkman, Asher A Hoberg, Michele Countryman, Wendy Beaver, Kiley Bybee, James M Blum, Boyd M Knosp
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引用次数: 0

摘要

重要性:数据治理,即管理数据的政策和程序,是临床数据用于研究的二次使用的关键因素。目的:本文描述了学术医疗保健组织用于研究的数据治理的演变、外部数据共享流程的开发、相关流程的实施、持续改进以及对数据治理成熟度的持续观察。材料和方法:该计划旨在改善对真实世界研究数据的访问和共享。采用定性和定量相结合的方法,我们评估了该计划的有效性。结果:我们的结果描述了数据可访问性的显著改善,这体现在新的数据驱动性能指标和新流程、政策和战略所指示的数据理解上。讨论:本文概述了在学术医疗中心开发数据治理流程以支持外部数据共享,强调了数据素养、跨办公室协作和结构化工作流程的重要性,以管理复杂的审查需求。形式化的过程改进了数据访问,确定了差距,并实现了持续的质量改进,尽管它引入了新的瓶颈,并需要导航多办公室审查和研究人员教育。结论:这些发现表明数据治理实践可能适用于其他机构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Establishing data governance for sharing and access to real-world data: a case study.

Establishing data governance for sharing and access to real-world data: a case study.

Establishing data governance for sharing and access to real-world data: a case study.

Establishing data governance for sharing and access to real-world data: a case study.

Importance: Data governance, the policies, and procedures for managing data, is a critical factor for secondary use of clinical data for research.

Objectives: This paper describes the evolution of an academic health-care organization's data governance for research, development of an external data sharing process, implementation of related processes, continuous improvement, and ongoing observations of data governance maturity.

Materials and methods: The program was designed to improve the access to and sharing of real-world data for research. Using a combination of qualitative and quantitative methods, we evaluated the program's effectiveness.

Results: Our results describe a significant improvement in data accessibility as seen in new data-driven performance indicators and in data understanding indicated by new processes, policies, and strategies.

Discussion: The paper outlines the development of a data governance process at an academic health center to support external data sharing, emphasizing the importance of data literacy, cross-office collaboration, and structured workflows to manage complex review requirements. The formalized process improved data access, identified gaps, and enabled continuous quality improvement, though it introduced new bottlenecks and required navigating multi-office reviews and researcher education.

Conclusion: These findings suggest data governance practices that may apply to other institutions.

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来源期刊
JAMIA Open
JAMIA Open Medicine-Health Informatics
CiteScore
4.10
自引率
4.80%
发文量
102
审稿时长
16 weeks
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