ReviewAmerican journal of human genetics2025
The evolution of health data ecosystems: An international survey.
Review in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
31 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.