In Westmont and nearby DuPage County communities, patients often cycle through urgent care, hospital imaging, primary care follow-ups, and specialist referrals—sometimes within days. When automated tools are part of that workflow, problems can show up in ways that don’t look like “a computer mistake” on the surface.
Common patterns we see in cases involving AI or automation include:
- Triage or routing errors: automated risk scores influence urgency, which can affect how quickly someone is evaluated.
- Imaging and lab handoff gaps: results may be reviewed by different teams, and a “flag” can be lost in the transition.
- Over-reliance on decision support: clinicians may treat tool output as confirmatory rather than one data point.
- Documentation mismatches: notes and orders may not reflect the concerns that were actually raised during the visit.
This matters because insurers often argue that the final diagnosis proves the earlier care was fine. But in negligence claims, the question is whether the care team acted reasonably with the information available at the time.


