Chesapeake residents often seek care under time pressure—commutes, family schedules, and work demands don’t pause for a medical workup. That’s when diagnostic errors can slip through.
We commonly see problems like:
- “Back-to-back” visits: symptoms worsen between appointments, and the record shows repeated complaints without escalation.
- Imaging and lab delays: results are obtained but not acted on quickly enough for the clinical picture.
- Handoff and documentation gaps: information gets missed when care shifts between providers or units.
- Over-reliance on automated recommendations: decision-support tools or triage software may influence what gets ordered—or what gets dismissed.
- Follow-up that never clearly happens: abnormal findings are noted, but the patient isn’t guided into the next step with enough urgency.
Whether AI was explicitly used or the care system relied on automated workflows, the legal question is similar: what did the provider do with the available information, and did it meet the standard of care?


