Many Healdsburg residents start with a simple question: “Could a computer have caused the mistake?” It’s understandable—but legally, the case usually turns on how the care team used technology.
AI-assisted systems may appear in different parts of care, such as:
- triage or risk-scoring used to route a patient,
- imaging or lab interpretation support,
- clinical documentation tools that shape what gets recorded and communicated.
Even when automation helps clinicians, a diagnosis still depends on human verification. If symptoms, imaging findings, or abnormal lab results were not escalated or reconciled with the patient’s history, the issue may be legally relevant—whether the error originated with judgment, workflow, training, oversight, or the way tool outputs were relied upon.


