In many cases, residents aren’t dealing with a robot “making a decision.” Instead, the concern is more subtle: a system that flags risk, suggests likely conditions, prioritizes tests, or shapes how information is displayed—then clinicians rely on that output without appropriate verification.
Local patients may encounter AI-involved workflows through:
- Imaging triage and interpretation support (e.g., prioritization or suggested findings)
- Clinical decision support used in charting, routing, or order suggestions
- Lab and documentation assistance that affects when results are acted on
- Risk scoring used to determine urgency—especially when symptoms appear non-specific
The legal question usually isn’t whether technology exists—it’s whether the care team met the standard of care for the patient’s presentation and whether the system’s role was properly verified and escalated when needed.


