A New Bed Occupancy Management Model, Case Study: Singapore Hospital

This paper describes three bed prediction models in aiding hospital planners to anticipate bed demand so as to manage resources efficiently. The Poisson bed occupancy model provides an estimation of bed occupancy and optimal bed requirements in each class based on length of stay and admissions data. The simulation model was developed to predict bed occupancy levels for every class for the following week utilizing historical previous year’s same week admissions data. Regression equations were formulated based on relationship between identified variables to aid bed managers to predict the weekly average number of occupied beds.