In the Arvada area, diagnostic mistakes often surface after a “normal” healthcare flow:
- You visit an urgent care or primary care office for symptoms that worsen over days.
- Test orders go out through an electronic system.
- Imaging or lab findings are reviewed with assistance from automated workflows.
- The next step depends on whether abnormal results are flagged, communicated, and acted on.
AI can appear in the process in ways that are easy to overlook—such as assisting clinicians with risk scoring, documentation, imaging triage, or decision support prompts. Even when AI is not the “final decision-maker,” errors can become legally relevant if the care team relied on automated outputs without adequate verification, or if abnormal findings were not escalated and followed.


