Iowa City is home to busy medical settings where efficiency matters. That can be a good thing—until an automated step, template-driven documentation, or decision-support output isn’t properly verified.
Residents may notice red flags such as:
- Notes that read like they were generated quickly, but omit key operative details
- Imaging interpretation summaries that don’t match later clinical findings
- Discharge instructions that reference automated reports or decision-support outputs
- Documentation gaps that make it hard to understand what was actually reviewed during perioperative care
When AI shows up in the record (or appears to have influenced what happened), the question becomes practical: what exactly was generated, what was reviewed by clinicians, and what safeguards were in place at the time?


