Cases involving AI or automated workflows don’t usually look like “the software caused everything.” More often, the problem is a chain of decisions—for example:
- A triage or risk-scoring tool routed a patient into a lower-acuity pathway.
- Imaging or lab results were flagged in a way that didn’t trigger timely escalation.
- A clinician leaned on an automated “most likely” output instead of reconciling it with symptoms and objective findings.
- Follow-up instructions were issued, but abnormal results weren’t properly tracked to resolution.
For Horizon City residents, these issues can show up across common care patterns: repeat urgent care visits, ER evaluations during busy shifts, and referrals between facilities where handoffs can be where details get lost.


