In a smaller New Hampshire community, people often cycle through the same providers and systems for follow-up care—urgent care visits, repeat appointments, referrals, and imaging/lab work—sometimes with long gaps between steps.
When a diagnosis is missed early, the harm can compound quickly:
- Symptoms worsen while appointments and test results are pending
- Follow-up instructions get lost in busy workflows
- Lab or imaging findings don’t get clearly communicated to the right person at the right time
- The electronic record shows “seen” status without the clinical team documenting escalation
If AI or automated tools were part of the process—whether used in triage, documentation assistance, imaging interpretation, or clinical decision support—the question becomes more specific: Was the tool treated as a substitute for clinical judgment, or properly verified against the patient’s objective findings?


