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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
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Chapters

1. Catching Up With Gabe And Alex (00:00:00)

2. Model Regressions And Hallucinations (00:02:58)

3. Consumer vs Medical‑Grade AI (00:07:13)

4. Planning, Context, And Evals (00:10:38)

5. Internet Access And Learning AI With AI (00:12:54)

6. Glass Health’s Ambient CDS Vision (00:15:21)

7. Accuracy, Hallucinations, And Benchmarks (00:19:03)

8. Human Oversight And Focus In The ED (00:22:21)

9. Cost, Clarifications, And AI Personalities (00:25:04)

10. Medico‑Legal Reality And HIPAA (00:29:16)

11. Enterprise Tools, BAAs, And Model Flexibility (00:33:44)

12. Education Risks And Over‑Reliance On AI (00:37:25)

13. Jobs, Robots, And Tactile Medicine (00:41:25)

19 episodes