A special burden of proof
A tool that summarizes an administrative document and a tool that influences patient care carry different risks. Clinical systems need evidence that fits the exact setting, population and intended use.
Performance measured on a retrospective dataset may not predict behavior with incomplete records, changing workflows or unfamiliar patients.
Human review by design
Clinicians need to know where information came from and which uncertainties remain. Good interfaces help professionals inspect, correct and reject suggestions without creating excessive work.
Privacy safeguards and consent requirements must be part of the architecture, not post-launch additions.
Continuous evaluation
Models and healthcare practices change. Responsible use calls for ongoing performance checks, incident reporting and clear lines of accountability.
The best health AI will earn trust through evidence and careful integration rather than dramatic claims.