在卫生政策和公共卫生研究中使用大型生物银行数据库的时间
José A Pagán1, Vivian Hsing-Chun Wang2, Hannah Sur1
1Department of Public Health Policy and Management, School of Global Public Health, New York University, New York, NY 10003, United States.
Health affairs scholar
|September 2, 2025
概括
大规模的生物库为卫生政策和公共卫生研究提供了巨大的潜力. 尽管数据科学和人工智能的发展不足,但仍有机会利用这些丰富的数据集来改善健康状况.
科学领域:
- 生物医学信息学
- 公共卫生研究
- 健康数据科学
背景情况:
- 大规模的生物库整合了各种参与者数据 (电子健康记录,调查,成像,生物标志物).
- 这些数据库对医疗保健和公共卫生解决方案具有重大潜力.
- 目前生物库在卫生政策和公共卫生研究问题上未得到充分利用.
研究的目的:
- 突显大规模生物库在卫生政策和公共卫生研究中的不足.
- 确定不足利用的原因,包括为其他目的收集数据 (例如,改善医疗保健,精准医学).
- 通过数据科学和人工智能进步,强调利用生物库数据进行公共卫生研究的新机遇.
主要方法:
- 对大规模生物库数据基础设施的现状和潜力进行审查.
- 分析生物库中的数据收集目的.
- 探索数据科学和人工智能带来的机遇.
主要成果:
- 大规模的生物库是丰富的资源,但没有充分利用健康政策和公共卫生研究.
- 生物库中的数据通常用于临床护理或精密医学,而不是广泛的公共卫生调查.
- 数据科学和人工智能的进步为使用生物库数据回答关键公共卫生问题创造了新的可能性.
结论:
- 大规模生物库在公共卫生研究中的潜在使用与实际使用之间存在很大的差距.
- 克服数据收集隔和采用先进分析对于释放生物库潜力至关重要.
- 通过数据科学和人工智能利用生物库数据可以在卫生政策和公共卫生解决方案方面取得重大进展.
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