In many healthcare settings across Minnesota—including hospitals, specialty clinics, and imaging/lab workflows—technology may support triage, documentation, imaging interpretation, or clinical decision support. That support can be helpful, but it can also create risk when it’s treated like a final answer instead of one input.
In Brainerd-area cases, we often see diagnostic issues tied to fast-moving care environments—situations where patients may be transferred, follow-up may be complicated by distance, or symptoms evolve quickly. If an AI-assisted step influenced the diagnostic pathway, the question becomes:
- Was the tool used appropriately?
- Did clinicians verify the output against objective findings?
- Were abnormal results escalated and communicated in time?
Our job is to investigate how the care process worked for your case and whether the standard of care was met.


