In practice, diagnostic mistakes often unfold in stages:
- A patient is routed quickly (sometimes through urgent care/tele-triage or a fast-track process) and sent for tests.
- Imaging, lab results, or a preliminary interpretation is entered into the chart with limited context.
- Follow-up depends on whether the abnormal findings are flagged, communicated, and acted on.
- Symptoms escalate between visits—often during work schedules, weekends, or periods when follow-up is slower.
When AI-assisted systems are part of imaging review, triage routing, or decision support, the error can be subtle: a tool’s output may get treated as more certain than it should be, or the workflow may fail to ensure the output was verified against the full clinical picture.


