In practice, many Lake Stevens cases involve a similar chain of events:
- Symptoms show up after a busy day—sometimes with long waits, short appointments, or rushed handoffs.
- A patient is routed through urgent care, primary care, or emergency services more than once.
- Imaging, lab work, or referral decisions rely on workflow triage—where automated prompts may influence what gets ordered, what gets flagged, and what gets documented.
- Follow-up instructions are provided, but the “abnormal” piece doesn’t get acted on quickly enough.
The legal issue isn’t “whether technology exists.” It’s whether the care team followed the Washington standard of care: reviewing objective results, considering alternatives, escalating when risk indicators demanded it, and communicating clearly enough that the patient could get timely next steps.
When AI tools or clinical decision support systems are involved, the question becomes: Were the outputs used appropriately as one input—not a substitute for clinical judgment and verification?


