Author(s):
The aim of this work is to improve healthcare facility efficiency by identifying essential metrics and variables. Effective facility planning, achieved through layout configurations, bed arrangements, and departmental allocations, ensures smoother operations, optimized resources, and enhanced patient experiences by addressing bottlenecks, reducing wait times, and maximizing space utilization. The process involved analyzing the simulation, establishing its basic functions, and employing a weighted decision matrix analysis to prioritize adjustments. Through “what if” scenarios and trial-and-error, the simulation underwent refinement, resulting in a final proposal evaluated using FlexSim’s experimenter tool, showcasing optimization. By activating 14 departments and fine-tuning specific parameters, notable enhancements in throughput, profit, patient length of stay, and room utilization were achieved, underscoring the efficacy of a strategic, data-driven approach in optimizing clinical spaces and emphasizing the significance of queuing theory in enhancing system operations.
Coauthors
Dana Zamorano, The University of Texas at El Paso, TX; , Juan Ortiz, The University of Texas at El Paso, TX; Diana Lopez, The University of Texas at El Paso, TX; Selim Molla, The University of Texas at El Paso, TX; Tzu-Liang (Bill) Tseng, he University of Texas at El Paso, TX
