In hospitals and surgical centers across Michigan, clinical teams increasingly rely on technology for imaging support, risk scoring, charting, transcription, and workflow prompts. In some cases, AI-assisted tools can be part of what went wrong—especially when outputs were unclear, not verified, or used in a way that didn’t match the patient’s real-world condition.
For Niles residents, this often surfaces after the fact:
- Follow-up visits where symptoms don’t match what was documented
- Imaging reports that reference automated interpretation or decision support
- Discharge paperwork that includes software-generated summaries that don’t align with your recollection
- Chart entries that read “generic” but omit key intraoperative details
Technology doesn’t automatically mean negligence. But when AI appears in the record trail, it can create specific questions that a careful review should address.


