Rooting Out Racial Bias in Health Care AI, Part 1

There’s growing excitement that artificial intelligence can make health care better by speeding up care, improving diagnoses and easing the burden on a burned out workforce. But there are also concerns that these powerful new tools will perpetuate biases and inequities long baked into our health care system.In the first of two back-to-back episodes on racial bias in health care AI, we explore the challenge of diagnosing bias in AI and what one health system is trying to do about it.Guests:Emily Sterrett, MD, Associate Professor of Pediatrics, Director of Improvement Science, Duke University School of Medicine Department of PediatricsMark Sendak, MD, MPP, Population Health & Data Science Lead, Duke Institute for Health InnovationGanga Moorthy, MD, Global Health Fellow, Duke Pediatric Infectious Disease ProgramPaige Nong, PhD Candidate, University of Michigan School of Public HealthLearn more and read a full transcript on our website.Dan Gorenstein will moderate three one-on-one discussions featuring industry leaders and top officials from ONC, FDA, and HHS’ Office of Civil Rights over two plenary sessions, you can watch them here.Support this type of journalism today, with a gift, which for a limited time will be matched!Want more Tradeoffs? Sign up for our free weekly newsletter featuring the latest health policy research and news. Hosted on Acast. See acast.com/privacy for more information.