The evolution of health data ecosystems: An international survey.

IF 8.1 1区 生物学 Q1 GENETICS & HEREDITY
American journal of human genetics Pub Date : 2025-08-07 Epub Date: 2025-07-21 DOI:10.1016/j.ajhg.2025.06.017
Jordan P Lerner-Ellis, E Magda Price, Shazia Subhani, Tiffany Boughtwood, Marie-Jo Brion, Augusto Rendon, Lene Cividanes, Jacob Gemmer, Danielle Ciofani, Nicolas Bertin, Seow Shih Wee, Stephen Robertson, Batoul Baz, Katrin Crameri, Sabine Österle, Valtteri Wirta, Per Sikora, Anna Lindstrand, Frédérique Nowak, Inês Amado, Nicola Jane Mulder, Andrea Ganna, Peter Goodhand, Lindsay D Smith, Christian R Marshall, Ma'n Zawati, Vincent Ferretti, Jacques L Michaud, Dennis Bulman, Francois Bernier, Kym M Boycott
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引用次数: 0

Abstract

This paper reports the findings of an international survey of health data ecosystems (HDEs) in 12 countries plus the H3 Africa project using live, structured interviews with senior project team members under the auspices of Canada's All for One Precision Health Initiative. We note the high level of interest in HDEs around the world, as well as in Canada, despite the financial, jurisdictional, and other barriers that continue to hold back widespread data sharing. We present results detailing operational profiles for each of the 13 participants, including whether their healthcare systems are centralized (national) or decentralized (regional), project start date, funding, information technology (IT) infrastructure, and the extent to which participants have implemented a data-sharing mandate. We find no evidence to confirm common assumptions about features conferring an advantage on HDE development, such as early launch date or top-down government mandate. We also find no evidence of a reference model to explain what makes any HDE effective, valuable, or successful and conclude, on the basis of our interviews, that the diversity that makes each of these projects unique may undermine collective actions like data sharing. While participants provided useful cautions about pitfalls they encountered, more research on these issues is required, and we anticipate that advanced assessment tools like the maturity level model (MLM) developed by the European Union (EU) may help countries understand what stage of the HDE development process they have reached and what strategies will be most effective for them in later stages.

卫生数据生态系统的演变:一项国际调查。
本文报告了在12个国家和H3非洲项目中对健康数据生态系统(HDEs)进行的国际调查的结果,在加拿大的All for One精准健康倡议的支持下,对高级项目团队成员进行了现场结构化访谈。我们注意到,尽管金融、司法和其他障碍继续阻碍着广泛的数据共享,但世界各地以及加拿大对hde的兴趣很高。我们详细介绍了13个参与者的运营概况,包括他们的医疗保健系统是集中式(国家)还是分散式(地区)、项目开始日期、资金、信息技术(IT)基础设施以及参与者实施数据共享授权的程度。我们没有发现任何证据来证实关于赋予HDE开发优势的特征的普遍假设,例如提前发布日期或自上而下的政府授权。我们也没有发现任何参考模型的证据来解释是什么使任何HDE有效、有价值或成功,并根据我们的采访得出结论,使每个项目独特的多样性可能会破坏数据共享等集体行动。虽然与会者对他们遇到的陷阱提出了有用的警告,但需要对这些问题进行更多的研究,我们预计欧盟(EU)开发的成熟度水平模型(MLM)等先进的评估工具可以帮助各国了解他们已经达到了HDE发展过程的哪个阶段,以及在后期阶段哪些战略对他们最有效。
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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来源期刊
CiteScore
14.70
自引率
4.10%
发文量
185
审稿时长
1 months
期刊介绍: The American Journal of Human Genetics (AJHG) is a monthly journal published by Cell Press, chosen by The American Society of Human Genetics (ASHG) as its premier publication starting from January 2008. AJHG represents Cell Press's first society-owned journal, and both ASHG and Cell Press anticipate significant synergies between AJHG content and that of other Cell Press titles.
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