大数据
衡平法
卫生公平
数据收集
公共卫生
医疗保健
业务
数据科学
健康数据
公共关系
政治学
计算机科学
医学
经济增长
经济
社会学
数据挖掘
社会科学
护理部
法学
作者
Cameron Sabet,Alessandro Hammond,Nim Ravid,Michelle Tong,Fatima Cody Stanford
标识
DOI:10.1038/s41746-023-00844-5
摘要
The United States Department of Health and Human Services (HHS) pledged $90 million to help reduce health disparities with data-driven solutions. The funds are being distributed to 1400 community health centers, serving over 30 million Americans. Given these developments, our piece examines the reasons behind the delayed adoption of big data for healthcare equity, recent efforts embracing big data tools, and methods to maximize potential without overburdening physicians. We additionally propose a public database for anonymized patient data, introducing diverse metrics and equitable data collection strategies, providing valuable insights for policymakers and health systems to better serve communities.
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