Residents here often receive care across the Chicago-area medical network—sometimes at facilities with high patient volumes, streamlined workflows, and heavy reliance on electronic documentation. In those environments, AI tools may show up in ways that aren’t obvious to patients, such as:
- Automated summaries in the chart that compress clinical events into a narrative you never saw
- Imaging and measurements generated or flagged by software
- Drafted operative or progress notes that require clinician review
- Risk scoring or decision-support prompts that may influence what gets documented or prioritized
When something goes wrong, the dispute usually turns on a practical question: Did the clinical team verify and supervise the outputs appropriately, and did they respond correctly when real-world facts didn’t align?


