Piloting and Scaling a Good Health Equity Evidence Base From Big Data
Author(s) -
Stephen H. Lockhart
Publication year - 2021
Publication title -
the ama journal of ethic
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.471
H-Index - 22
ISSN - 2376-6980
DOI - 10.1001/amajethics.2021.252
Subject(s) - health equity , psychological intervention , equity (law) , health care , big data , health information technology , health records , business , health data , investment (military) , electronic health record , actuarial science , data science , public economics , public relations , medicine , political science , economics , economic growth , computer science , nursing , data mining , politics , law
Eliminating racial inequity in health outcomes has historically been complicated by a lack of clear methods to quantify the problems and study interventions' effects. Health care organizations' investment in electronic health record systems for millions of patients, however, presents opportunities to use data to research health inequity and respond to it. One health system's development and validation of a measure to identify and quantify outcomes inequity across patient groups demonstrates an approach that could be nationally scalable.
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