Safety

TOPIC

Safety

4 entries across the knowledge base

AI-Native Systems
Model governanceWho is accountable when the model is wrong, how you'd know, and what makes it stop. Governance is not paperwork around AI — it is the part that makes AI usable in a hospital at all.article · 8 min · practitionerClinical decision support AIRule-based CDS fires when a condition is met and can always explain itself. AI-based CDS predicts — and the shift from 'because rule 14' to 'because the model said 0.83' changes what safety even means.article · 8 min · practitioner
Software & Tech Stack
Testing clinical systemsYour test suite is green. That tells you the code does what you specified — not that the specification was safe, that the data is real, or that a nurse can use it at 3am.article · 7 min · practitioner
Compliance, Privacy & Ethics
AI ethics & governance in healthWhat it takes to deploy clinical AI responsibly — bias, transparency, human oversight, and the regulatory frame (FDA, EU AI Act) now forming around it.article · 6 min · foundation