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 Part 1 of our special series, we explore the challenge of diagnosing bias in AI and what one health system is trying to do about it.
Episode Guests:
Emily Sterrett, MD, Associate Professor of Pediatrics, Director of Improvement Science, Duke University School of Medicine Department of Pediatrics
Mark Sendak, MD, MPP, Population Health & Data Science Lead, Duke Institute for Health Innovation
Ganga Moorthy, MD, Global Health Fellow, Duke Pediatric Infectious Disease Program
Paige Nong, PhD Candidate, University of Michigan School of Public Health
Tradeoffs coverage on Diagnostic Excellence is supported in part by the Gordon and Betty Moore Foundation.
About Tradeoffs:
Founded in 2019 by former Senior Health Care Reporter at Marketplace, Dan Gorenstein, Tradeoffs is an award winning nonprofit media company on a mission to help the folks on Main Street, Wall Street and Capitol Hill have smarter, more honest conversations about health policy. We produce podcast episodes, articles, newsletters and live events that combine data and evidence and storytelling to help health care decision-makers better understand the complicated, costly and often counterintuitive world of health care. The Tradeoffs audience is made up of important decision-makers in health policy, and our work has been listened to more than 2 million times and is taught in more than 50 colleges and universities.
