Irreverent thoughts on AI and healthcare
Field notes from our team.
Patient priorities
A 43-year-old on 16 medications burst into tears at the idea of increasing one dose. AI-enabled improved access will only be part of the solution.
Efficient human-AI collaboration in medicine
Efficiency in an AI-clinician collaborative framework ultimately has to stem from confidence in a properly designed, exhaustively tested deterministic engine.
What could go wrong with AI prescription refills?
This isn't really AI vs human—it's a missing data problem.
The Unusual Discordance of Healthcare Priorities: Patients, Providers, Payers, and VCs
Patients, providers, payers, and the venture-funded companies built to serve them — each rationally pursue what they value. None of them, collectively, is building what patients are now arriving with.
Cognitive Load Theory & software-based upskilling in clinical medicine
Provider-facing software has to increase clinician productivity by several-fold while improving quality, otherwise it won't meaningfully move access, cost, or outcomes.
We wanted flying cars, instead we got 140 characters, healthcare version
AI has dominated the news cycle, but the advances in healthcare are quite pedestrian relative to the major crises we face. A different model is needed.
How are we going to scale in healthcare?
Healthcare has a bad track record of resisting innovation. If we're going to scale, it'll have to happen at the provider level, and the gains will have to be dramatic.