In practice, “AI misdiagnosis” usually isn’t about a computer making the final call. It’s more often about how machine-assisted outputs were used inside the care process—such as:
- imaging or lab triage that changes what gets reviewed first
- risk scoring that affects urgency and routing
- documentation or clinical decision support suggestions
- automated alerts (or missing alerts) related to abnormal results
In Bend and across Oregon, the key legal question is whether the clinical team met the standard of care for the situation. That includes whether clinicians appropriately verified tool output, ordered confirmatory testing when needed, and acted when objective findings didn’t match the working diagnosis.


