If your AI strategy is built around replacing people, what happens when the algorithm gets it wrong? In this debut episode, Berto Rico, 22-year healthcare quality veteran and Founder & CEO of ClearStars.AI, introduces the "orthotic vs. prosthetic" framework for AI in Value-Based Care.

Drawing on research from Duke Health, Chirok Health, and a multi-university review from Vanderbilt, Stanford, Emory, and UAB, Berto breaks down why standalone AI fails in clinical settings and what actually works.

You'll learn why AI alone agreed with clinical reviewers only 54% of the time in HCC coding, how pairing AI with humans improved productivity by 45%, the three failure modes every healthcare leader should recognize, how Duke Health built one of the first deep learning models integrated into routine clinical care by designing around human expertise, and a five-principle framework for building AI systems that regulators reward and clinicians trust.

For VPs of Quality/Stars, Directors of Analytics, CMOs, and anyone leading AI strategy at a Medicare Advantage plan, ACO, or provider group. No product pitch. No hype. Just operator-level insights from someone who has done the work.

Host: Berto J. Rico | Founder & CEO, ClearStars.AI

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