The potential for bias in machine learning and opportunities for health insurers to address it

By NCQA on February 15, 2022 in Quality Talks

Last week in Health Affairs, one of our 2022 speakers, Dr. Ziad Obermeyer, and co-authors, explained the value of machine learning in health care, like predicting early disease onset and determining the likelihood of future hospitalizations. However, there’s growing concern that machine learning can perpetuate systematic inequities if left unchecked. The authors highlighted both AHRQ’s and NCQA’s exploration on the topic. Don’t miss Dr. Obermeyer in this year’s Quality Talks. Click here to register today.

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