Many diagnostic errors aren’t caused by a single bad test result. Instead, the problem often starts with a first-step triage decision—the kind of decision that can be shaped by software recommendations, workflow routing, or risk flags.
In Fayetteville, common real-world scenarios include:
- ER/urgent care visits where symptoms are routed based on automated triage categories, then key possibilities are not revisited as new information arrives.
- Imaging review delays when software-assisted workflows prioritize certain findings or batch reads, and abnormal results aren’t escalated the way they should be.
- Lab/instrument interpretation where automated outputs are treated as definitive rather than verified against the patient’s full presentation.
- Discharge and follow-up failures—especially when a patient is told to “return if worse” but the warning signs are vague, and the system’s documentation doesn’t clearly support what should have happened next.
Even when a tool is involved, the legal question is usually about whether clinicians and facilities acted reasonably—including how they interpreted results, communicated risk, and followed escalation protocols.


