Healthcare increasingly uses software to draft notes, summarize charts, interpret imaging, support triage, and assist with surgical planning. Even when a clinician is ultimately responsible, AI-related documentation can create gaps, inconsistencies, or missing context.
In practical terms, we often see concerns like:
- Operative or follow-up notes that read “too smooth” or omit steps you were told would happen
- Imaging or report language that seems inconsistent with your symptoms or later findings
- Chart entries that reference automated outputs without explaining how they were verified
- Discrepancies between what was documented and what was communicated during your perioperative care
If you suspect AI was involved, the goal isn’t to prove technology “caused” everything. The goal is to determine whether the care team met the standard of care and whether any AI-related errors, omissions, or reliance contributed to your injury.


