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Practical AI in Healthcare

Practical AI in Healthcare

By: Steven Labkoff MD and Leon Rozenblit JD PhD
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Summary

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 enterpriseSteven Labkoff, MD and Leon Rozenblit, JD, PhD Hygiene & Healthy Living Physical Illness & Disease
Episodes
  • S1, E37 - Danny van Leeuwen, MPH, RN, Health Hats: Patient's POV on AI Tools
    May 17 2026

    Danny van Leeuwen is a nurse of 50 years, a multiple sclerosis patient, host of the Health Hats podcast, and a serial member of national outcomes panels at CMS, AHRQ, PCORI, and the National Academy of Medicine. He has tried more than 100 health apps and uses five. In this episode, he explains how he uses AI to interrogate his own chart, surface symptom patterns, and prepare for clinical encounters, and he shares his Three T's and Two C's framework for evaluating any digital health technology: Time, Trust, Talk, Control, Connection. The conversation covers what patients want from AI, what they do not, and why pain, fear, and cognition still escape the data.

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    42 mins
  • S1, E36 - David Hidalgo-Gato, Founder & CEO, Cleo Health: Going a Mile Deep on Emergency Medicine — Specialization, Design Partnerships, and the Acute Care OS
    May 10 2026

    David Hidalgo-Gato is the founder and CEO of Cleo Health. While more than 100 competitors were building generic ambient AI scribes, David's team chose emergency medicine and stayed with one design partner for nine months and roughly 50 product iterations before launching. The result: an average 54-minute time savings per shift, a patient-assignment tool that turned a four-hour process into 15 to 20 minutes, and use across 400+ hospitals nationwide. The conversation covers why ED workflow breaks generic ambient scribes, why generative AI fits patient assignment specifically, and David's argument that workflow understanding is the moat AI cannot commoditize.

    https://practicalaiinhealthcare.com/

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    50 mins
  • S1, E35 - Barry P. Chaiken, MD, MPH: Physician-as-Patient Perspective on AI in Healthcare
    May 3 2026

    When physician Barry Chaiken was diagnosed with prostate cancer, his clinical training gave way to fear. It took a friend asking, "What are you doing?" to snap him back into doctor-mode thinking. That experience reshaped how he sees AI in healthcare. In this episode, Chaiken draws on his dual perspective as physician and two-time cancer survivor to argue that consumer health AI is failing patients, not because the models are bad, but because patients don't know how to use them. He shares a practical framework for AI-assisted patient education, makes the case for an aviation-style safety reporting system for healthcare AI, and explains why interoperability is an incentive problem, not a technology problem.

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    54 mins
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