The Role of Artificial Intelligence in Predicting Emergency Department Overcrowding

Abstract

Emergency Department (ED) overcrowding remains a critical challenge in healthcare systems
worldwide, impacting patient care quality and operational efficiency. This paper explores the role
of Artificial Intelligence (AI) in predicting and mitigating ED overcrowding. By leveraging
advanced machine learning algorithms and real-time data analytics, AI enables proactive
management of patient flow, resource allocation, and capacity planning. This study reviews
current literature, discusses AI models and techniques applicable to ED settings, and presents
case studies demonstrating AI's effectiveness in optimizing ED operations. Key findings highlight
AI's potential to forecast patient arrivals, identify high-acuity cases, and improve decisionmaking processes. Insights gained from this research underscore AI as a transformative tool for
enhancing ED performance and mitigating overcrowding issues, ultimately improving patient
outcomes and healthcare delivery efficiency.