In practice, many misdiagnosis problems aren’t caused by one dramatic failure. They’re commonly tied to fast-moving situations—for example:
- ER triage and quick disposition when symptoms are unclear
- Repeat visits where the same complaints are treated as “watch and wait”
- Imaging and lab turnaround that gets communicated incompletely
- After-hours staffing or workflow bottlenecks that affect follow-up
- Specialist delays that turn “abnormal” into “we’ll recheck later”
When an AI-assisted workflow is involved, it may appear as a risk score, imaging flag, documentation aid, or decision-support suggestion. The legal question usually isn’t whether the tool existed—it’s whether the care team properly verified the output, acted on it appropriately, and documented what they considered.


