Clinical Pathways as Safety Specifications for Physical AI in Hospital Wards
Ensuring safety in Physical AI systems operating in real-world environments is a critical challenge, particularly in hospital wards where vulnerable patients, clinical staff, medical devices, and assistive robots coexist. In this paper, we reinterpret Clinical Pathways as explicit runtime safety specifications for embodied medical AI. We propose a conceptual robotic architecture that integrates wearable sensors, smart medical devices, and assistive robotic components into a unified framework for
Researchers propose using Clinical Pathways as safety specifications for Physical AI in hospital wards, integrating wearable sensors and robotic components. A Runtime Safety Monitor evaluates signals against clinically defined constraints to identify safety violations. This approach combines prediction, reasoning, and verification to ensure safety.
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