In many medical settings, AI isn’t always labeled as “AI.” Instead, it may appear indirectly through:
- Generated clinical notes or automated summaries that don’t match the operative reality
- Imaging interpretation references tied to software outputs
- Decision-support prompts used during planning, triage, or documentation
- Workflow systems that populate fields automatically, then get reviewed quickly
For Fairborn residents, the practical problem is often the same: the chart reads one way, but the patient’s experience and the clinical timeline raise questions. Those inconsistencies can matter when determining whether care met Ohio’s medical standard and whether a breach contributed to harm.


