
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
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.
Listen above or through one of these podcast services:
Newsletter
Stay ahead of policy, cost, and value—subscribe to AJMC for expert insights at the intersection of clinical care and health economics.