In many cases, the issue isn’t that “AI caused everything.” More often, the problem is how automated outputs were used in real clinical settings—such as:
- Triage and routing that sent a patient down the wrong diagnostic path
- Imaging or report assistance that was treated as more definitive than it was
- Risk scoring that underestimated or overestimated severity
- Documentation or symptom capture that shaped what clinicians thought was happening
In Grays Harbor County and surrounding areas, patients may also move between urgent care, emergency care, specialists, and primary providers. That handoff complexity matters legally—because diagnostic errors often occur at the gaps: when results aren’t escalated, when follow-up is missed, or when conflicting information isn’t reconciled.


