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The Challenges of Identifying and Mitigating Racial Bias in Predictive Models
On this episode of Managed Care Cast, we interview the lead author of a paper in the Health IT issue of The American Journal of Managed Care.
In recent years, predictive models in medicine have become increasingly popular what with the continued integration of artificial intelligence and data technology into health care. However, these models can carry the risk of bias depending on which individuals make up the data sets.
The close relationship between health care and technology also raises a myriad of questions when it comes to regulation, accountability, and model implementation.
In this month’s Health Information Technology special issue of The American Journal of Managed Care®, Paige Nong, a PhD candidate in public health at the University of Michigan, and colleagues present research on facilitating informed decision-making and communicating equity issues when integrating predictive models into care.
On this episode of Managed Care Cast, Nong outlines how the researchers carried out their study, the ethical challenges of combining computer science with health, and next steps for combatting bias in predictive models.
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Stuck in Prior Auth Purgatory: The Hidden Costs of Health Care Delays
June 19th 2025Delays, denials, and endless paperwork—prior authorization isn’t just a headache for providers; it’s a barrier for patients who need timely care, explains Colin Banas, MD, MHA, chief medical officer with DrFirst.
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Report Reveals Mounting Burdens of Drug Shortages on US Health System
June 27th 2025Vizient's 2024 survey reveals a sharp rise in drug shortages across US health care, with pediatric care hit especially hard and labor costs soaring—but the true impact may go far beyond limited medication access, threatening to disrupt the very foundations of how health systems operate.
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