Many people first notice AI indirectly—through unusual chart language, generated summaries, references to decision-support, or imaging interpretation that doesn’t match what you later experience.
In practical terms, AI-related systems can show up in ways that affect safety, such as:
- automated or assistive documentation that may contain errors or omissions
- risk scoring or clinical flagging used to guide treatment
- imaging workflows where outputs were used without appropriate clinical verification
- templated notes that obscure what was actually considered and why
The legal question isn’t whether AI exists in healthcare—it’s whether the care team met the standard of care and responded appropriately when clinical facts did not align with the system’s outputs.


