Project number
26050
Organization
Intelligent Clinical Systems
Offering
ENGR498-F2025-S2026
Background:
More than 5 million U.S. nurses regularly face delays accessing essential equipment in acute-care supply rooms—where every second matters. Even brief retrieval interruptions can jeopardize patient outcomes. A 2024 white paper (Vizzia & Georgia State) found nurses spend up to 60 minutes per shift searching for supplies, costing U.S. hospitals over $14 billion annually in lost productivity. Despite being stocked and labeled, supply rooms often function as chaotic, memory-driven “hunt-and-peck” environments that increase cognitive load, delay care, and contribute to clinician burnout. This wasted time spent looking for medical supplies adds up to a massive, systemwide drain on time, workflow efficiency, and clinical responsiveness across every shift in every hospital. Hospital supply rooms are a technology desert that are still largely untouched by the kind of intelligent, connected systems transforming nearly every other corner of healthcare.
Scope:
Our technology is an AI-powered retrieval system that reimagines hospital supply rooms as intelligent, high-performance clinical hubs.
In acute-care settings, where seconds can determine outcomes, our device uses advanced on-device intelligence and ambient computing to deliver hands-free, sub-10-second access to critical supplies. It adapts to both urgent events (such as a code blue) and everyday clinical workflows, turning a passive supply room into an active, responsive part of the care team.
Designed for speed, adaptability, and privacy, the system operates entirely at the edge—meaning all intelligence runs locally, without reliance on cloud connectivity. This ensures ultra-low latency and safeguards sensitive data while enabling reliable performance in even the most demanding clinical environments.
Our work blends cutting-edge AI techniques with efficient embedded systems engineering, pushing the boundaries of what’s possible in real-time, privacy-preserving healthcare technology. The platform is built to be extensible, capable of supporting a new generation of smarter, faster, more connected clinical spaces.
This is bleeding-edge work in real-time, privacy-preserving AI on resource-constrained hardware. It opens the door to smarter, faster clinical environments, and builds a platform extensible to broader healthcare and other sensitive domains.
More than 5 million U.S. nurses regularly face delays accessing essential equipment in acute-care supply rooms—where every second matters. Even brief retrieval interruptions can jeopardize patient outcomes. A 2024 white paper (Vizzia & Georgia State) found nurses spend up to 60 minutes per shift searching for supplies, costing U.S. hospitals over $14 billion annually in lost productivity. Despite being stocked and labeled, supply rooms often function as chaotic, memory-driven “hunt-and-peck” environments that increase cognitive load, delay care, and contribute to clinician burnout. This wasted time spent looking for medical supplies adds up to a massive, systemwide drain on time, workflow efficiency, and clinical responsiveness across every shift in every hospital. Hospital supply rooms are a technology desert that are still largely untouched by the kind of intelligent, connected systems transforming nearly every other corner of healthcare.
Scope:
Our technology is an AI-powered retrieval system that reimagines hospital supply rooms as intelligent, high-performance clinical hubs.
In acute-care settings, where seconds can determine outcomes, our device uses advanced on-device intelligence and ambient computing to deliver hands-free, sub-10-second access to critical supplies. It adapts to both urgent events (such as a code blue) and everyday clinical workflows, turning a passive supply room into an active, responsive part of the care team.
Designed for speed, adaptability, and privacy, the system operates entirely at the edge—meaning all intelligence runs locally, without reliance on cloud connectivity. This ensures ultra-low latency and safeguards sensitive data while enabling reliable performance in even the most demanding clinical environments.
Our work blends cutting-edge AI techniques with efficient embedded systems engineering, pushing the boundaries of what’s possible in real-time, privacy-preserving healthcare technology. The platform is built to be extensible, capable of supporting a new generation of smarter, faster, more connected clinical spaces.
This is bleeding-edge work in real-time, privacy-preserving AI on resource-constrained hardware. It opens the door to smarter, faster clinical environments, and builds a platform extensible to broader healthcare and other sensitive domains.