CareQueue
Prototype
A triage assistant built around the patients who are missed rather than the ones who are obvious: it scores risk from outcomes instead of from assigned levels, and keeps watching everyone in the waiting room for deterioration.
The problem
Triage is usually built as classification — a nurse assigns a severity level and the model learns to agree. But in the 2022 NHAMCS data, 45.8% of critical-care outcomes came from patients triaged level 3, 4 or 5. They were correctly processed, and then they waited. A model that agrees with the nurse learns to miss exactly the same people.
Built with
- TypeScript
- Next.js
- React
- NHAMCS 2022
Decisions from this project