Practical AI in Healthcare

Steven Labkoff, MD and Leon Rozenblit, JD, PhD

AI promises to transform healthcare—but real, scalable impact remains rare. Practical AI in Healthcare cuts through the noise to showcase real-world use cases delivering business value today. Hosted by senior leaders— former VPs of life science technology groups, clinical informatics professionals from top-tier organizations, and a former Big Four consultant—each episode features candid conversations with the people making AI work inside the healthcare enterprise

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Practical AI in Healthcare

Episodes (52)

Sunday S1, E51 - Reflections #7: When the Machine Is Almost Always Right, Who Is Still Thinking?
Sun Aug 16th S1, E50 - Jeremy Harper: The Broken Adoption Curve, Ambient Scribes Nobody Can Audit, and the Knowledge We Keep Paying For and Deleting
Sun Aug 9th S1, E49 - Chris Dymek: Healthcare AI Literacy

Practical AI in Healthcare

Aug 23, 2026
56¼ minutes
77 MB

In their seventh Reflections episode, and their fifty-first overall, Steve and Leon look back across six conversations: Mika Newton on interoperability that finally started working, Peter Embi on monitoring clinical AI after deployment, Vimla Patel on how clinicians actually reason, Renee Deehan on an engine built so it can't hallucinate, Christine Dymek on AI literacy, and Jeremy Harper on an adoption curve that broke. They decide against forcing a single grand lesson and find three threads anyway: keeping a human in the loop as a deliberate design decision, the national clearinghouse for AI errors that still doesn't exist, and...

Practical AI in Healthcare

S1, E51 - Reflections #7: When the Machine Is Almost Always Right, Who Is Still Thinking?

Steven Labkoff, MD and Leon Rozenblit, JD, PhD

00:00 -56:19