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Mining the Data Oceans, Profiting on the Margins

Bibliographic Data

ID21793230
AuthorsM F E Ebeling (0000-0003-4208-7098, Drexel University, corresponding author)
Year2021
Volume12
IssueS6
Pages85-89
Publication date2021-07-01
Open AccessYes
TypeARTICLE
VenueGlobal Policy (JOURNAL)
Journal identifiersISSN: 1758-5880 • E-ISSN: 1758-5899
PublisherWiley (PUBLISHER • GB)
DOI10.1111/1758-5899.12887
OpenAlexW3191002924
LanguageEN
References cited13

American capitalist medicine has produced a national healthcare system that is the most expensive – and producing the worse outcomes for patients – in the world. For many patients, social inequities and racial disparities embedded throughout the US healthcare system have only deepened and intensified over the last two decades, with very few realizing the promises made by medical technological innovation. Healthcare policy makers are turning to ‘data‐driven healthcare’ as a solution to these endemic problems. Yet the promise that digital technologies and data analytics will solve some of the most vexing questions in medical science, and will make healthcare more accessible, affordable, and equitable, in fact, hides the ongoing, structural inequities and injustices in health care

Analytics · Big data · Business · Data science · Economic growth · Economics · Health care · Health equity · Healthcare system · Medical care · Political science · Public relations · Computer Science · Healthcare cost, quality, practices · Healthcare Policy and Management · Healthcare Systems and Reforms · Medicine · Nursing

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