KQED Radio
KQED Newssee more
Latest Newscasts:KQEDNPR
Player Sponsored By
upper waypoint

New Study Finds Health Care Algorithm is Biased Against Black Patients

23:48
at
Save ArticleSave Article
Failed to save article

Please try again

 (iStock)

A computer algorithm widely used by health care providers and insurers to predict health risk was biased against black patients, according to a new study. The software was meant to determine who had the most complex medical needs based on a patient’s health care bills, and therefore would be most likely to benefit from additional care. But it failed to account for the fact that black patients, regardless of health status, actually generate lower costs because they tend to have a harder time accessing care in the first place, due to structural inequities. We’ll talk to the study’s lead author, a UC Berkeley researcher, on what these findings mean for inequality in health care as well as bias in artificial intelligence programs.

Guests:

Ziad Obermeyer, acting associate professor of health policy and management, UC Berkeley School of Public Health

Sponsored

lower waypoint
next waypoint
Gaza War Ceasefire Talks Continue as Israel Threatens Rafah InvasionWill the U.S. Really Ban TikTok?California PUC Considers New Fixed Charge for ElectricityOakland’s Leila Mottley on Her Debut Collection of Poetry ‘woke up no light’Alice Wong Redefines ‘Disability Intimacy’ in New AnthologyHow a Massive California Prison Hunger Strike Overhauled Solitary ConfinementHow to Spend this Summer Camping CaliforniaKQED Series ‘Beyond the Menu’ Tells the Backstory of FoodInside Mexico's Clandestine Drug Treatment CentersWhat’s Next for Pro-Palestinian Campus Protests