The device is assessed within its intended use environment and clinical workflow, including how it interacts with clinicians, patients and caregivers, so that what is measured is how the human and the AI perform together; human factors such as user skill and expertise, understanding of outputs and limitations, potential for overreliance, level of autonomy and user error are addressed both in normal use and in misuse that could reasonably be foreseen.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.