Diagnostic errors don’t just happen in theory—they show up in predictable, real-life workflows. In Bridgeport, these patterns often involve:
- Emergency and urgent care “throughput” pressure: clinicians move quickly, and abnormal results can get buried in the workflow.
- Follow-up gaps after discharge: discharge instructions may be clear on paper, but practical barriers (work schedules, transportation, language access, or pharmacy delays) can prevent timely follow-through.
- Repeat visits before the correct diagnosis is recognized: symptoms can evolve between visits, and the earlier presentations may not be re-evaluated with enough urgency.
- Busy imaging and lab turnaround realities: imaging interpretations and lab processing can be affected by staffing, prioritization, or handoff protocols.
- AI-supported triage or decision support: automated risk scoring or clinical decision tools can shape what gets ordered, what gets flagged, and what gets documented—sometimes in ways that are later questioned.
The key is that the law doesn’t require “perfect outcomes.” It requires that care met the reasonable standard of care under the circumstances.


