The integration of real-time data analytics in emergency telemedicine has revolutionized patient care by enhancing decision-making, reducing waiting times, and improving treatment accuracy. Unlike traditional care methods, real-time analytics allows immediate processing of patient data, ensuring swift responses to critical conditions. This technological advancement has significantly impacted emergency care delivery, with studies indicating a 30% reduction in patient waiting times and a 25% increase in treatment accuracy and throughput efficiency. By enabling rapid diagnosis, resource optimization, and improved patient monitoring, real-time data analytics has redefined emergency medical interventions. However, challenges such as data security, system integration, and training requirements must be addressed to maximize its potential. This study explores the transformative role of real-time data analytics in emergency telemedicine, examining its benefits, challenges, and future implications for healthcare systems