AI-Powered Emergency Room Digital Twin

# Uniq ER Digital Twin – AI-Powered Emergency Room Simulation Uniq ER Digital Twin is an AI-powered emergency room simulation developed for the AMD Developer Hackathon ACT III, under the Health & Wellbeing track. The project explores how artificial intelligence and digital twin technology can improve hospital efficiency, optimize resource allocation, and support critical decision-making in emergency departments. The platform simulates a dynamic emergency room environment with patients, doctors, nurses, ambulances, treatment rooms, and limited medical equipment. It features mass-casualty scenarios, cascading emergencies, and patient deterioration, creating realistic challenges in managing hospital resources such as CT scanners, ventilators, and specialized medical staff. Powered by AMD Developer Cloud through Evolus, the AI agent analyzes emergency room conditions and recommends patient assignments and resource allocation strategies. These AI-generated decisions are compared against the simulation's built-in allocation system under identical scenarios, allowing evaluation of waiting times, patient deterioration, resource utilization, and overall operational performance. The interactive 2D dashboard provides real-time visualization of hospital operations, patient movements, resource availability, and incident timelines. Users can control simulation speed, introduce disruptions, examine decisions, and generate detailed outcome reports. By combining AMD-powered AI, autonomous agents, and digital twin technology, Uniq demonstrates the potential of intelligent hospital coordination systems to reduce bottlenecks, improve emergency preparedness, and support healthcare professionals in high-pressure environments.