Researcher Discusses Progress on AI Bias in Patient Risk Algorithms
Dr. Ziad Obermeyer discussed the evolution of AI bias in healthcare algorithms since his 2019 research exposed systematic underestimation of Black patients' health needs in a widely used commercial algorithm. The conversation covered progress the healthcare industry has made in addressing algorithmic bias in patient management tools. The discussion appears focused on clinical risk prediction models used across the healthcare sector. While the original research had significant implications for how health plans and providers identify high-risk patients for care management programs, this appears to be a retrospective industry discussion rather than new policy guidance or research findings.
Medicaid MCOs use risk adjustment and care management algorithms that may contain similar biases, affecting member stratification, resource allocation, and health equity outcomes.
Managed Care
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