Many misdiagnosis claims start with the same pattern: the patient tried to get answers quickly, but the system moved too fast—or not fast enough.
In a community like Costa Mesa, common real-world scenarios include:
- Repeat urgent-care or ER visits during busy weeks (work travel, parenting schedules, weekends)
- Imaging and lab results that were “in the system,” but not clearly acted on in time
- Discharge instructions that are hard to interpret when symptoms are rapidly changing
- Hand-offs across providers (urgent care → specialist → imaging center), where key details can get lost
- Automated triage and risk scoring that routes patients one way, even when clinical signs point elsewhere
When AI or software-assisted tools are part of the workflow—such as risk scoring, imaging support, documentation assistance, or clinical decision support—the question becomes: How did the tool’s output influence the care decisions, and how was it verified?


