In Delaware, OH, people commonly get care through a mix of urgent care visits, primary care offices, and hospital systems—sometimes involving multiple handoffs. Those transitions are where diagnostic errors can slip through:
- Symptoms documented in one setting but not fully carried over to the next
- Abnormal imaging or lab work recognized late
- Follow-up instructions misunderstood or not acted on
- Automated tools flagging risk, while the clinical team treats the output as the conclusion
When AI is part of the workflow—whether for imaging triage, documentation support, or decision support—the legal issue is often not “the tool existed.” It’s whether the care team verified the tool’s output, escalated appropriately when risk indicators appeared, and documented the reasoning behind the diagnosis.


