University City residents commonly seek care at facilities that serve a dense, high-traffic region. In that environment, it’s not unusual for patients to feel like they’re being processed—especially during urgent evaluations, follow-up visits, or after a discharge.
Diagnostic errors often show up in the “in-between” moments, such as:
- Triage decisions that route symptoms to the wrong pathway or delay escalation
- Imaging or lab review that doesn’t get acted on quickly enough
- Discharge instructions that fail to clearly communicate what to watch for and when to return
- Follow-up gaps when abnormal results are documented but not effectively coordinated
Where AI (or other automation) may enter the picture, the concern is usually not that technology is “bad.” The concern is whether the system was used appropriately, whether clinicians confirmed results, and whether the documentation accurately reflects the clinical reasoning that should have occurred.


