AI isn’t usually the only factor in a bad outcome. In real care settings, automated tools can influence decisions indirectly—such as how symptoms are categorized, how risk is scored, how imaging is routed for review, or how documentation templates guide what clinicians emphasize.
A diagnostic delay may occur when:
- an abnormal lab value isn’t escalated quickly enough,
- an imaging interpretation is treated as settled despite conflicting findings,
- a triage system routes a patient to the wrong level of care,
- automated documentation fails to capture key symptom details,
- or the care team relies too heavily on tool output instead of clinical judgment.
In Tennessee, the legal question typically isn’t “Did a computer make a mistake?” It’s whether the care team and facility met the applicable standard of care for the patient’s situation—including how they used and verified automated information.


