Why US healthcare is broken and how data can fix it
summary
US healthcare is a data problem: it spends 17–18% of GDP while lacking national health goals and shared metrics. The EHR rollout moves clinicians 12% to >90% via incentives but prioritizes billing and compliance over a learning health system, leading to compromises like collapsing detailed diabetes fields and broken handoffs where imaging is unavailable. Mobile personal records plus agentic AI agents synthesize wearables and EHRs, coach patients, and translate results. Real interoperability must aggregate costs and measurable outcomes across payers, providers, pharmacies, and social services.
AI-written summary · about
chapters (6)
- 0:00Introduction and welcome
- 1:28US healthcare problems overview
- 6:37Electronic health records evaluation
- 9:55Patient and employer empowerment
- 14:28Interoperability and data access
- 18:49Summary and closing
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