Many diagnostic error cases in the Salt Lake Valley don’t start with a single “bad result.” They start with a pattern:
- Multiple visits to urgent care or emergency departments before the correct condition is recognized.
- Abnormal imaging or lab results that aren’t acted on quickly enough.
- Symptoms that are treated as “common” until they become harder to ignore.
- Confusion about what the clinician saw versus what automated systems flagged.
In a fast-paced environment, it’s easy for information to get fragmented—especially when care involves handoffs between staff, different departments, or different facilities.
If your concern involves AI-assisted workflows (for example, risk scoring, imaging interpretation support, or documentation prompts), the key question becomes: Did the care team verify the output and escalate appropriately when the facts didn’t fully match?


