Reimaging Healthcare
summary
When a small blood vial contains millions of T cells and sequencing returns a million receptor reads, the claim is that cloud ML fed with over 100 billion labeled points per month could learn a universal blood diagnostic; a Fred Hutch pilot combines EHR, wearables and genomics and finds half of emergency visits avoidable with simple interventions; an intelligent scribe prototype captures doctor‑patient speech, ranks suggestions by confidence, and is in early pilot with specialization and generality challenges while FHIR is pushed as a first‑class cloud data type.
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chapters (6)
- 0:00Introduction and background
- 2:27Universal disease diagnostics vision
- 6:59Intelligent scribe demo
- 13:00Healthcare data liquidity challenge
- 17:16Open standards and regulation
- 21:18Call to action and closing
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