是时候在卫生政策和公共卫生研究中使用大规模生物银行数据库了。

IF 2.7
Health affairs scholar Pub Date : 2025-08-09 eCollection Date: 2025-08-01 DOI:10.1093/haschl/qxaf158
José A Pagán, Vivian Hsing-Chun Wang, Hannah Sur
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引用次数: 0

摘要

大型生物银行数据库将来自数千名参与者和多个来源(如电子健康记录、调查、成像和生物标志物)的数据链接起来。这些数据基础设施研究计划有可能为卫生保健和公共卫生解决方案提供信息,这些解决方案可以满足不同人群的需求,促进跨部门合作,并提高卫生保健和公共卫生系统的总体响应能力。尽管有这种潜力,但在回答卫生政策和公共卫生研究问题方面,大规模生物银行的利用严重不足。部分原因是,收集这些数据源中的信息通常是为了改善综合卫生保健提供系统内的卫生保健或推进精准医疗等目的。尽管如此,世界各地这些数据收集工作的深度和广度,以及数据科学和人工智能的进步,为利用大规模生物银行数据回答重要的卫生政策和公共卫生问题提供了新的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time to use large-scale biobank databases in health policy and public health research.

Large-scale biobank databases link data from thousands of participants and multiple sources such as electronic health records, surveys, imaging, and biomarkers. These data infrastructure research initiatives have the potential to inform health care and public health solutions that can address the needs of different populations, facilitate cross-sector collaboration, and improve the overall responsiveness of health care and public health systems. Despite this potential, large-scale biobanks are severely underutilized to answer health policy and public health research questions. Part of the reason is that information available in these data sources is usually collected for purposes such as improving health care within an integrated health care delivery system or advancing precision medicine. Still, the depth and breadth of these data collection efforts around the world together with advances in data science and artificial intelligence provide new opportunities to answer important health policy and public health questions using large-scale biobank data.

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