Kent patients often move between providers: a primary care visit, an ER or urgent care encounter, imaging centers, labs, and follow-ups. When a diagnostic error happens across that chain, the documentation (and the timeline) becomes the key.
In cases involving automated systems—such as clinical decision support, imaging assistance, risk scoring, triage routing, or documentation tools—the legal question usually isn’t whether “AI exists.” It’s whether:
- the tool’s output was properly verified by clinicians,
- abnormal findings were acknowledged and acted on,
- results were communicated in a way that matched the patient’s risk level, and
- the workflow prevented a “wait and see” approach when earlier evaluation was required.


