Algonquin patients often receive care across a mix of settings—urgent care visits, hospital emergency departments, outpatient imaging, and follow-up with primary care or specialists. Diagnostic errors can surface at any step, but the story often looks similar:
- Abnormal test results weren’t acted on quickly enough after an ED/urgent care visit (sometimes because the visit was busy and the follow-up chain wasn’t clearly assigned).
- Imaging impressions changed later, but the earlier read or escalation didn’t match the patient’s symptoms.
- Automated risk scoring or triage routing pushed the patient into the “lower urgency” track, delaying the right workup.
- Lab or report text was misinterpreted, including when AI-assisted documentation affected what was recorded and what was communicated.
- A short visit didn’t capture the full symptom timeline, and an AI-supported note template didn’t prompt deeper clinical verification.
The key point: in Illinois, the legal focus is not whether AI exists—it’s whether the care team met the standard of care and whether their decisions (including how they used or relied on automated outputs) contributed to the harm.


