In our experience, cases labeled “AI misdiagnosis” often involve more than one handoff and more than one system—for example:
- A patient is triaged for urgent symptoms and routed based on risk scores.
- Imaging is read using software-supported workflows, then reviewed by a human provider.
- Laboratory results are transmitted and acknowledged, but abnormal findings don’t trigger the right escalation.
- Notes and discharge instructions don’t clearly connect the patient’s symptoms to a follow-up plan.
Even when software is involved, North Carolina negligence law still centers on whether care met the accepted standard at the time. Your claim typically turns on questions like: Did clinicians verify the information appropriately? Were abnormal results acted on promptly? Were alternative diagnoses considered when symptoms didn’t fit the initial conclusion?


