In the Fairborn area, people often seek care across multiple settings—urgent care, emergency departments, imaging centers, and primary care offices—sometimes within days. Those transitions are where diagnostic mistakes can take root:
- Abnormal tests return after you’ve already left (and the system doesn’t route them correctly)
- Imaging reads get updated later, but the patient isn’t promptly re-contacted
- Symptoms are minimized during busy shifts, especially when a “most likely” automated risk score points the other way
- Records are fragmented between providers, making it harder to connect symptoms to the eventual diagnosis
When AI or clinical decision support is part of the care process, the risk isn’t that software “decides” for clinicians. The risk is that the team may treat an automated suggestion as more definitive than it is—then miss conflicts with objective findings.


