Berea is known for community healthcare access and frequent repeat visits—often to urgent care, outpatient clinics, and local hospital departments. In those settings, diagnostic mistakes can happen when:
- symptoms are treated as “common” at first (especially when patients are seen quickly)
- follow-up depends on the patient remembering the next step
- test results are routed electronically but reviewed under time pressure
- multiple providers see the same person across different visits without a single, unified timeline
When AI or automated systems are part of the workflow—such as imaging triage, risk scoring, or electronic clinical decision support—the risk isn’t that technology is “inherently wrong.” It’s that the tool’s output may be treated as a shortcut rather than one data point that must be verified against the patient’s objective findings.


