Many people assume “AI” means a computer made the decision. In real cases, automated components are usually supporting the clinical process, which can still create legal exposure if they were used or documented in a way that fell below the accepted standard of care.
In Centralia, common scenarios we see families describe include:
- Imaging or scan interpretation issues tied to workflow-based review (timing, handoffs, and how results were flagged)
- Risk scoring or triage routing that delayed the “right level” of evaluation for worsening symptoms
- Lab result handling problems—including delays in acknowledging abnormal values or incomplete integration into the clinician’s reasoning
- Documentation gaps created by templates or automated note systems that omit key symptom details, red flags, or follow-up instructions
The practical takeaway: the diagnosis itself is only part of the evidence. The records must show what was known, what was recommended, what was verified, and when escalation should have happened.


