In many Illinois healthcare settings, patients don’t experience “AI” as a visible robot—they experience it as automation behind the scenes. That might include:
- Risk scoring used to decide urgency or routing
- Clinical decision support suggestions that influence what gets ordered
- Automated summaries in electronic health records
- Imaging or lab workflow tools that affect review and turnaround
A serious problem can occur when staff rely on an automated output too heavily—or when a tool’s recommendation conflicts with objective findings. In Burbank, where residents often seek care across urgent care centers, outpatient practices, and nearby hospitals, it’s common for records to be spread across systems. That can make it harder to connect the timeline—especially if follow-up gets delayed.
Our job is to build the timeline clearly: what was known, when it was known, and whether the care team responded appropriately.


