NEJM AI Shares Deployment Lessons from 50+ Clinical Algorithms
Deployment failures of clinical AI rarely get documented with numbers this concrete — 2000 hospitals and 11 million patients of accumulated experience. Health-tech founders, hospital CIOs and ML engineers can use the two-stage problem breakdown to audit their own rollout plans before launch. It contrasts with most clinical AI literature, which stops at model accuracy and skips the implementation gap.