In a community where many patients cycle between urgent care, primary care, ER visits, imaging centers, and follow-up appointments, diagnostic errors can be harder to catch early. A delay can look “routine” in the moment—another visit, another test order, another wait for results—until symptoms progress.
That’s why, in Mount Pleasant, we commonly see cases where the timeline matters as much as the final diagnosis:
- Abnormal imaging or lab results that weren’t acted on quickly enough
- Referral delays between facilities
- Incomplete handoffs between clinicians
- Documentation that doesn’t match what was actually discussed at the visit
If AI-assisted tools were involved—like risk scoring, triage routing, imaging review support, or automated documentation prompts—those systems can influence what gets ordered, what gets escalated, and how quickly clinicians focus on red flags.


