Errors do not appear from nowhere

Safety events rarely belong to one person alone. Alerts, interfaces, interruptions, haste, and institutional culture all shape the outcome.

Technology can fail even when it works as designed if the design pushes people toward fragile decisions.

Automation bias

When the screen confirms, the recommendation feels validated. Under pressure, accepting the fastest route becomes tempting.

That is why governance and workflow design matter as much as technical training.

The lesson for AI

Models can sound confident, over-summarize, or prioritize poorly. Implementing clinical AI requires human review, traceability, and a learning culture.