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.

Authors

Institutions

Publication Details

Journal
Health Affairs Scholar
Published
2025-08-01
DOI
https://doi.org/10.1093/haschl/qxaf158
Citations
2
Primary Topic
Ethics in Clinical Research
Type
article
Field-Weighted Citation Impact
3.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Time to use large-scale biobank databases in health policy and public health research

Vivian Hsing-Chun Wang, José A. Pagán, Halil İbrahim Sur
2 citations
Health Affairs Scholar
Ethics in Clinical Research
3.76
article

Time to use large-scale biobank databases in health policy and public health research

Vivian Hsing-Chun Wang, José A. Pagán, Halil İbrahim Sur
article en
2 citations

Abstract

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.

Health Affairs ScholarVol. 3(8)
New York University (US)
Partnerships for the goals, Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Ethics in Clinical Research
3.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Time to use large-scale biobank databases in health policy and public health research — Vivian Hsing-Chun Wang, José A. Pagán, et al. · Health Affairs Scholar (2025) | TGRS Research Map | TGRS