Over 100,000 nurses leave the profession annually. More than 60% report emotional fatigue and job dissatisfaction, and the US faces a projected shortage of nearly 200,000 registered nurses by 2030. This white paper applies an AI model to RTLS data from 196 nurses at a North American hospital — classifying burnout risk using movement patterns, time in high-stress zones, break compliance, and response times — to help hospitals identify at-risk staff before burnout fully develops.