Rochester patients often cycle through urgent care, imaging centers, hospital outpatient departments, and primary care follow-ups—sometimes across more than one system. In that kind of handoff environment, diagnostic mistakes can be amplified when:
- Results don’t reach the ordering clinician quickly enough (or get buried in portal notifications)
- Multiple appointments are spaced too far apart after abnormal findings
- Imaging or lab interpretations are treated as final without appropriate verification
- Triage protocols route patients based on symptom checklists that don’t capture nuance
When AI or automated decision support is involved—like risk scoring, clinical decision support prompts, or imaging assistance—the legal question becomes: Did the care team use the information responsibly, and did the system’s output get checked against objective findings?


