Many people assume an “AI mistake” means the software itself caused the harm. In real cases involving automated or algorithm-assisted workflows, the issue is often more specific:
- A tool flagged a risk level, but the clinician didn’t verify with clinical context
- Imaging triage routed results in a way that delayed review
- A lab workflow interpreted results inconsistently with patient history
- Documentation assistance created a record that didn’t accurately reflect symptoms or timing
In Forest Park, these disputes commonly arise when patients cycle through more than one location—especially when a result from one visit becomes “someone else’s problem” during handoffs. Your records should show who saw what, when they saw it, and what was done next.
What to request early:
- Every visit summary and after-visit instruction sheet
- Imaging reports (including original interpretations and any later addenda)
- Lab results with timestamps and reference ranges
- Referral orders and documented follow-up plans
- Any clinical decision-support notes, if present in the chart


