Practical AI in Healthcare S1, E24 - Bob Wachter, MD | A Giant Leap: AI in Healthcare
Feb 15, 2026
Bob Wachter, MD, UCSF Chair of Medicine and author of The Digital Doctor, reflects on why AI could outpace a failing healthcare system. He discusses Watson's missteps, the rise of ambient scribes, human-in-the-loop design challenges, AI literacy for patients, and the need to compare AI to current alternatives. Short, provocative, and focused on practical change.
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Technology Met A Burning Platform
- AI met a failing healthcare system at the right moment and created a sudden inflection point in 2022.
- The combination of digital data scaffolding and powerful new models enabled a rapid shift from gradual to sudden change.
Don't Start With The Hardest Problem
- Prior AI efforts failed by attacking the hardest problems like diagnosis first and overpromising.
- Watson for Health failed because marketing outpaced evidence and real-world validation, costing IBM billions.
Iterate Fast On Workflows And Governance
- Expect a short productivity paradox and iterate quickly on governance and workflows.
- Update tools and processes in months, not years, as models and versions improve rapidly.
