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Dirty White Coat
Mel Herbert for FoolyBoo Inc
19 episodes
4 weeks ago
Send us a text 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 suppo...
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Education
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All content for Dirty White Coat is the property of Mel Herbert for FoolyBoo Inc and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Send us a text 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 suppo...
Show more...
Education
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GLP-1 Agonists: Transforming Weight Management and Understanding Diabetes with Dr. Anne Peters
Dirty White Coat
42 minutes
9 months ago
GLP-1 Agonists: Transforming Weight Management and Understanding Diabetes with Dr. Anne Peters
Send us a text This episode unravels the complexities of using Ozempic, a GLP-1 receptor agonist, for weight loss—especially among people without diabetes. Dr. Anne Peters highlights the health implications, individual responses to the drug, and the broader context of weight management. • Examination of Ozempic’s functions and benefits • Discussion on who should consider using Ozempic • Clarifying misconceptions about weight loss and obesity • Insight into the body’s set po...
Dirty White Coat
Send us a text 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 suppo...