In a Carrboro-area clinic or hospital visit, an AI-related issue usually isn’t “the software was wrong.” The more legally important questions tend to be:
- Who was responsible for verifying the output?
- Was the recommendation treated as advisory or treated as decisive?
- Did abnormal results trigger the right follow-up?
- Were limitations communicated to clinicians or documented in the record?
Even when automated tools are used appropriately, misdiagnosis can occur if a care team fails to integrate information correctly—especially when symptoms are evolving quickly, documentation is incomplete, or test results arrive after a visit and require tracking.


