In the Pittsburgh-area, patients often receive care through a mix of hospital services, imaging centers, and specialist follow-ups. That can make it hard to tell where information was generated automatically, where it was reviewed by a clinician, and where a mistake may have occurred.
If you’ve noticed language in your records that suggests AI involvement—such as automated imaging impressions, transcription-style “generated” notes, or decision-support references—your best move is to treat it as a lead, not a conclusion.
A case review typically focuses on questions like:
- What tool was used and for what step in the care process?
- Who supervised or validated what the tool produced?
- Whether the clinical team followed up appropriately when symptoms, test results, or intraoperative events suggested a different path.


