Category: Healthcare
Perspectives on how care is built, paid for, and experienced. Read about digital health programs, medical AI, patient data, and the work of turning promising technology into useful care.
Selected reading
- LumiHealth: What Building a National Health Game Taught Me About Behavior Change — Lessons from building a national health program with Singapore.
- When You Upload Your Medical Records to AI, Who’s Actually Protecting Them? — Privacy and disclosure questions when medical records meet consumer AI.
- The Gameboard for AI in Healthcare — A framework for thinking about assistive and autonomous healthcare AI.
- The Humbling Math of Health AI: Why ChatGPT Can’t Grade Your Heart Yet — Why years of Apple Watch data can still be hard to interpret.
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The Jagged Frontier of Medical AI
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AI can reason faster than medicine can prove an answer right. A framework for understanding where medical AI can act independently, where it needs supervision, and why biology keeps its own clock. Read more
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The Patient Will See You Now
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Patients have spent years becoming better informed. AI is beginning to help some of them make the first move in their own care. What changes when a patient arrives with a draft plan, and who gets that chance? Read more
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AI Jevons Paradox: Why AI May Create More Work, Not Less
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When AI makes a task cheaper, the work around it may grow. What software developers and medical scribes reveal about shrinking roles, expanding responsibilities, and the conditions that give human work a lasting place. Read more
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LumiHealth: What Building a National Health Game Taught Me About Behavior Change
I helped build a health game with Apple and Singapore. Looking back at LumiHealth, I reflect on the people, product choices, and public-health philosophy behind it, and what those lessons can teach us about changing daily habits. Read more
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The Humbling Math of Health AI: Why ChatGPT Can’t Grade Your Heart Yet
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Years of Apple Watch data can look like a complete picture of your health. Making sense of it is another matter. What the work behind narrowly validated health features can teach us about the limits of a fluent AI answer. Read more
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When You Upload Your Medical Records to AI, Who’s Actually Protecting Them?
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A privacy promise is only one part of protecting a health conversation. Drawing on my experience at Apple and Verily, I explore what changes when medical records move into consumer AI, and why the architecture matters. Read more
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The New Computer in the Clinic
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Healthcare is shifting from point-and-click EHRs to AI clinical workflow. LLMs can read narratives, but safe actions need deterministic guardrails. Read more
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AI and the Prepared Mind: Engineering Luck in Drug Discovery
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AI drug discovery designs perfect molecules, but 70% die in Phase 2. The gap isn’t chemistry—it’s the embodied clinical context AI can’t replicate. Read more
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How AI Gets Paid Is How It Scales
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Healthcare AI economics depend on creating a labor dividend. AI business models must shift from billing human minutes to AI-driven outcomes. Read more
