In Burlington, NJ, medical care often happens in a fast-moving rhythm: urgent visits, specialist referrals, imaging follow-ups, and repeat appointments. When an AI-enabled workflow is involved—such as risk scoring, lab interpretation support, radiology assistance, or triage routing—errors can be harder to spot because the care team may treat the output as “already verified.”
The legal issue is not whether technology exists. The issue is whether the standard of care required clinicians to independently verify the information, escalate concerns appropriately, and document the reasoning behind diagnoses—especially when symptoms, imaging, or test results don’t line up.


