In our experience, diagnostic delays often come from everyday scenarios that are common around the Richmond area:
- ER or urgent care handoffs: A patient is assessed, tested, and discharged with instructions—but abnormal findings or risk signals don’t get escalated the way they should.
- Repeat visits after “it’s probably nothing”: Symptoms persist or worsen, and the later diagnosis arrives only after the condition has progressed.
- Lab/imaging workflow breakdowns: Results are posted, but the system doesn’t reliably trigger follow-up or the provider doesn’t receive/interpret the information in time.
- AI-assisted documentation or decision support: Tools used for triage, imaging review support, risk scoring, or record summarization can shape what clinicians see first and how clinical reasoning is recorded.
These patterns don’t mean “AI caused it.” They mean the care process—how information was routed, verified, and acted on—may have failed.


