Impact of different discharge patterns on bed occupancy rate and bed waiting time: a simulation approach

Beds are one of the most important resources in a healthcare system. How to manage beds efficiently is an important indicator of the efficiency of the healthcare system. Bed management is challenging to many healthcare service providers in many aspects. In recent years, population growth and aging society impose extra pressure on bed requirement. There are usually two key performance indicators of a bed management system: bed occupancy rate and bed waiting time. In this paper, different discharge patterns and their impacts on the bed occupancy rate and bed waiting time are studied. A discrete event simulation model is constructed to evaluate the existing discharge pattern in a Singapore regional hospital using actual hospital admission and discharge transaction data. Then different discharge patterns are tested in the same context. Simulation results show that a proper discharge pattern significantly smoothes the fluctuation of bed occupancy rate and reduce the bed waiting time.