In a community like Griffith, many patients cycle through multiple points of care—urgent care, ER triage, outpatient follow-ups, and imaging/lab systems. That matters because diagnostic mistakes frequently happen at the seams:
- Symptoms are documented one way, but later interpreted through a different lens
- A result is posted electronically, yet not escalated to the right provider or at the right time
- A clinician relies on risk-scoring or decision-support outputs without adequate verification
- Follow-up instructions are unclear, and abnormal findings don’t get acted on promptly
Even when “AI” is involved, the most important legal question is usually not whether technology existed—it’s whether the care team followed the reasonable process a competent provider should use when making a diagnosis.


