AI-Powered Patient Flow Optimization in Emergency Rooms
Authors:-Kumar S
Abstract-Emergency Rooms (ERs) are high-pressure environments characterized by unpredictability, time-sensitive decisions, and often overcrowding. These conditions, when not optimally managed, can lead to prolonged wait times, increased medical errors, clinician burnout, and compromised patient outcomes. As healthcare systems strive to deliver efficient, equitable, and timely emergency care, Artificial Intelligence (AI) has emerged as a transformative force. AI-powered patient flow optimization employs machine learning, predictive analytics, and intelligent decision support systems to streamline triage, resource allocation, and care coordination. This paper explores how AI is revolutionizing emergency room operations by enhancing real-time decision-making, reducing bottlenecks, forecasting demand, and personalizing patient care pathways. It also examines the integration of AI tools into clinical workflows, the ethical and infrastructural challenges of implementation, and the future of AI-driven operational excellence in emergency healthcare settings.
