A sizing tool for allocation planning of hospital bed resources

Abstract

This paper focuses on bed resources allocation in hospital taking into account hospitalization demands, bed capacity, and "Tarification à l'Activité" (T2A) incomes. The data used in this research work combine the elective patient flow and the acute patient flow from emergency department. A mathematical model based on a dynamic dispatching approach is developed and experimented respectively with two mathematical optimization solvers, Lingo and Cplex. Our objective is to maximize the incomes based on T2A and to minimize the cost to use supplementary beds. As a result of this model, the bed allocation planning calculated from the best objective value is presented. © 2009 Springer-Verlag Berlin Heidelberg.