In smaller communities and regional referral systems, diagnostic decisions may rely heavily on what’s available at the visit—imaging reports, lab turnaround times, and the software tools used to route patients and summarize findings.
An AI-related misdiagnosis problem may involve:
- Automated triage or risk scoring that influenced how quickly you were evaluated or routed
- Clinical decision support that suggested a likely condition, but wasn’t adequately verified against your full clinical picture
- Imaging or lab workflow issues where interpretation was influenced by software-assisted review
- Documentation automation that created incomplete or inaccurate histories, symptom summaries, or “problem lists”
The important point for Durango families is this: even when technology is used appropriately, the clinician and the system still have duties—to confirm the recommendation, order appropriate testing, address abnormal results, and communicate clearly.


