Intelligent Triage: Integrating Artificial Intelligence, Queuing Theory and Game Theory for Automated Patient Prioritization in Infectious Disease Wards

The dynamic and complex nature of patient care in infectious disease wards needs innovative approaches to assessment and prioritization. This paper presents a novel method that combines Game Theory and Artificial Intelligence (AI) to address this challenge. By modeling patient interactions and resource allocation as a strategic game, and employing Deep Learning, the proposed approach automates the evaluation of patient severity and optimizes treatment prioritization. The integration of these advanced computational methods offers a robust and responsive system that enhances the accuracy, efficiency, and fairness of patient care in infectious disease departments. Extensive experiments validate the effectiveness of the approach, demonstrating significant improvements over traditional methods and paving the way for future applications in healthcare delivery.