In many Michigan healthcare settings, providers use technology to help with triage, imaging review, risk scoring, and documentation. That can be helpful—but it can also create new failure points.
In an AI misdiagnosis claim, the key question is not whether technology “is bad.” The question is whether the care team treated tool output appropriately and whether safeguards were followed. For residents in Rochester Hills, this often shows up in real-world patterns like:
- Abnormal findings not escalated quickly enough (for example, imaging or lab results that should have triggered urgent follow-up)
- Triage or routing decisions that delayed the right level of care
- Documentation gaps that make it harder to confirm what was communicated and when
- Clinician reliance on tool-generated risk scores without adequate clinical verification
If your records suggest that automation influenced what was ordered, what was ruled out, or when follow-up occurred, a lawyer can help you evaluate whether that played a role in the harm.


