In the Great Lakes region, patients often cycle through multiple care touchpoints: a primary care visit, an urgent care or ER visit, imaging, lab work, and then a follow-up appointment once results are “final.” In real life, delays can occur at any of those handoffs.
A diagnostic error may involve:
- Delayed recognition of abnormal results (imaging or lab findings not acted on quickly)
- Inconsistent documentation between visits, especially when care is split across facilities
- Triage decisions that influenced what tests were ordered—or not ordered
- Clinical decision support tools that suggested a likely diagnosis but were not treated as one input among many
In Bay City, this can be especially frustrating for working families who can’t always stay on top of every step—missed calls, unclear discharge instructions, and the reality of returning for follow-up only after symptoms worsen.
An “AI misdiagnosis” situation isn’t usually about the technology being evil or perfect—it’s about how systems were used, how clinicians responded, and whether safeguards were followed.


