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Episode overview
Did you know five percent of patients drive half of all healthcare costs?
In this episode of Radiology Rewired, Dr. Tim Judson, MD, MPH, Interim Chief Population Health Officer at UCSF Health, unpacks how AI is reshaping population health: predicting who needs care next, scaling outreach beyond what any care team could manage alone, and rethinking how systems measure value.
For decades, access, cost, and quality have been treated as an "iron triangle." Improve one, and you tend to compromise another. Dr. Judson believes AI can play a profound role in loosening that trade-off, improving efficiency without driving up costs.
We dig into the big ideas shaping population health: how predictive AI flags high-risk patients months before a crisis, how agentic tools let one care manager oversee outreach to dozens of patients at once, why value-based care and AI need to advance together, and how the same "find it, characterize it, act on it" logic radiology knows well is now scaling to entire populations.
A wide-angle conversation about AI's growing role in population health, and what it takes to deliver consistent, high-quality care at scale.
