People often don’t realize they have a claim until they look back at the timeline and realize the system missed something that should have been caught earlier. Locally, that pattern can show up in common scenarios:
- Busy urgent care or clinic visits where symptoms are assessed quickly and testing is delayed.
- Multiple appointments across providers (primary care, specialty, urgent care) where abnormal results require coordination.
- Imaging and lab workflows where reports may be “in the system,” but action is not taken promptly.
- Commute-driven scheduling that can affect when follow-up happens—and whether it happens at all.
When AI or automated decision support is part of documentation, triage, imaging support, risk scoring, or clinical workflows, the legal question becomes: Was the tool treated appropriately as information—not authority?


