In healthcare settings across Monterey and the surrounding Central Coast, automated systems may be used to:
- flag risk levels (triage or prioritization)
- suggest likely diagnoses based on symptoms and history
- assist with imaging review or report generation
- compile or standardize documentation
- route patients to the next step (or delay escalation)
The key point for your case is not whether “AI exists”—it’s whether the care team relied on the output as if it were definitive or failed to confirm it against objective clinical findings.
Even when a tool is advisory, clinicians still have to:
- evaluate symptoms independently
- order appropriate tests when red flags appear
- address abnormal results promptly
- communicate risk and follow-up clearly
When those steps don’t happen, the error can become legally relevant—especially in delayed diagnosis scenarios where the correct condition was only identified after harm progressed.


