Waukesha is a suburban community where many families rely on nearby healthcare systems and specialists. When something goes wrong, records move through multiple departments—pre-op screening, imaging, perioperative notes, post-op follow-ups, and billing documentation.
That’s where AI-related issues can surface in real-world ways, such as:
- Automated summaries appearing in the chart that don’t align with what clinicians actually told you
- Imaging or report language that seems inconsistent with later findings or the operative course
- Decision-support references that raise questions about how risks were assessed or how actions were chosen
- Charting discrepancies that suggest information was generated, imported, or updated using software systems
Even when AI is not the “direct cause,” it can still be part of the story—especially if the team’s use of outputs fell below the standard of care.


