Healthcare IT News January 24, 2025
New research from the University of Minnesota shows wide discrepancies, not just with artificial intelligence adoption, but with how well providers are equipped – financially and technically – to assess their AI tools for efficacy and integrity.
While around two-thirds of U.S. hospitals are using AI-assisted predictive models, just 44% of hospitals evaluate these models for bias, raising concerns about equity in patient care.
These were the results of a recent study conducted by the University of Minnesota School of Public Health and published in Health Affairs, which analyzed data from 2,425 hospitals across the country.
The study highlighted disparities in AI adoption, noting hospitals with greater financial resources and technical expertise are better equipped to develop and evaluate their...
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