Many diagnostic-error cases don’t start with an obvious “mistake.” They start with patterns you can recognize in hindsight:
- Symptoms that were treated as routine issues, even as they escalated
- Test results that were posted electronically but not acted on promptly
- Follow-up instructions that were unclear—or not confirmed—after a Lake Forest-area visit
- Care that shifted between providers (primary care, urgent care, ER, specialists), leaving important context behind
When AI or automated systems were part of the workflow, you may also see things like template-based notes, algorithm-driven risk scores, or imaging/lab interpretation support that was relied on more heavily than it should have been.


