Demonstration of ED Flow Simulation App: Enhancing Emergency Department Efficiency Through Predictive Analytics

This study focuses on the development and evaluation of the ED Flow Simulation App, a web-based tool designed to optimize patient flow in emergency departments through real-time visualization and predictive analytics. By modeling key parameters such as patient arrival rates, waiting room capacity, and treatment room capacity, the app helps identify bottlenecks and improve resource allocation. Built with Python and Streamlit, it provides an interactive user experience for hospital administrators. Future enhancements include machine learning integration, expanded departmental applications, and advanced data analytics to further improve hospital operations.