Diagnostic mistakes don’t always start with a dramatic “wrong diagnosis.” Often, harm follows from a quieter chain of events—especially in busy settings where patients are seen quickly and moved through multiple handoffs.
In Merced, families frequently report problems that look like:
- Delayed follow-up after abnormal test results from clinic visits or urgent care, with symptoms progressing while everyone waits for the “next step.”
- Symptoms described during short appointments (including recurring complaints) that are treated as routine—until a later visit finally triggers more targeted testing.
- Imaging or lab interpretation delays—or results that were documented but not acted on with the urgency the situation required.
- Handoff gaps between facilities, specialists, or primary care—where the “key detail” doesn’t carry through to the next provider.
- Work- and school-timeline pressure, where patients return for care later than they should, not because they didn’t try, but because life keeps moving.
If an AI-assisted workflow was part of the chain—whether it suggested a condition, routed a case, flagged risk, or helped generate documentation—your case may involve not only clinical judgment, but also how the system was used, verified, and communicated.


