In the Farmington area, many patients and families first notice something is off after they return home and start comparing what they were told with what appears in the chart—especially when follow-up imaging, discharge summaries, or operative documentation raise questions.
Common red flags we see in cases where AI may be part of the timeline include:
- Generated or auto-populated chart entries that don’t match what occurred in the operating room
- Imaging or interpretation references that appear to have been produced through decision-support tools, then not reconciled with clinical findings
- Confusing documentation of patient history, consent details, or perioperative steps
- Delays in escalation after a complication—sometimes reflected in timestamps, orders, or note timing
- Inconsistent documentation between the surgeon’s report, anesthesia record, nursing notes, and later follow-ups
These issues don’t automatically prove negligence. But they do justify a careful review, because AI-related systems can introduce failure points—especially when outputs aren’t independently verified.


