Dirty White Coat
Dirty White Coat
Podcast Description
Mel Herbert, MD, and the creators of EM:RAP, UCMAX, CorePendium, and many of the most influential medical education series present a new free podcast: “Dirty White Coat.” Join us twice a month as we dive into all things medicine—from AI to venture capital, long COVID to ketamine, RFK Jr. to Ozempic, and so much more. Created by doctors for clinicians of all levels and anyone interested in medicine, this show delivers expert insights, engaging discussions, and the humor we all desperately need more of!
Podcast Insights
Content Themes
The podcast explores various themes related to medicine, including innovative treatments like ketamine therapy, the use of GLP-1 agonists for weight management, and the intersection of AI and healthcare. Episodes include in-depth discussions on Ozempic's role in diabetes and weight loss, the transformative impact of ketamine clinics on mental health, and historical perspectives on psychedelics in medicine.
Mel Herbert, MD, and the creators of EM:RAP, UCMAX, CorePendium, and the collaborators on “The Pitt” and many of the most influential medical education series present a new free podcast: “Dirty White Coat.” Join us twice a month as we dive into all things medicine—from AI to venture capital, long COVID to ketamine, RFK Jr. to Ozempic, and so much more. Created by doctors for clinicians of all levels and anyone interested in medicine, this show delivers expert insights, engaging discussions, and the humor we all desperately need more of!
We examine how clinician-built AI can safely support emergency care, where consumer tools fall short, and why planning, context, and evaluation matter more than model hype. We also share a patient-facing approach to unify records and recordings for safer, clearer answers.
• differences between consumer and medical‑grade AI, HIPAA and BAAs
• model regressions, sycophancy, and hallucinations
• context engineering and planned prompting for safety
• ambient clinical decision support at the bedside
• evaluations, benchmarks, and model selection
• medico‑legal uncertainty and state regulations
• education risks of over‑reliance on AI
• human oversight, prioritization, and tactile care
• patient empowerment via unified records and encounter recordings
• interoperability gaps and practical workarounds
Disclaimer
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