Hospital evaluation of AI predictive tools for bias is inconsistent, study finds

Healthcare DIVE January 14, 2025
Emily Olsen

Hospitals with more financial resources and technical expertise were more likely to locally test their models, suggesting a potential digital divide that could impact patient care.

Dive Brief:

• Most hospitals are using predictive artificial intelligence tools, but less than half are evaluating them for bias, according to a study published this month in Health Affairs.
• Sixty-five percent of U.S. hospitals reported utilizing predictive models, including products for identifying high-risk patients or helping with appointment scheduling. But only 61% tested models for accuracy using their own health systems’ data, and just 44% said they locally evaluated the models for bias.
• Hospitals with high operating margins, those that developed their own models and facilities that were part of health...

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