Many Erie residents first become concerned after receiving records that look oddly polished, inconsistent, or incomplete—especially when the wording doesn’t match what they were told in the operating room or during recovery. Common examples we see in potential AI-related surgical error matters include:
- Generated summaries that omit key intraoperative details
- Imaging or pathology descriptions that appear inconsistent with later findings
- Clinician notes that reference decision-support outputs without documenting verification steps
- Timeline gaps in electronic records that make it hard to understand what was reviewed and when
Those details don’t automatically mean wrongdoing. But they can mean critical evidence needs to be preserved and reviewed early—before systems overwrite logs or documentation becomes harder to reconstruct.


