Aplicación de colas de Poisson en procesos de ‘toma de decisiones’ en la gestión de servicios médicos

Abstract

This paper reviews theoretically the Poisson probability distribution function that assigns to each event defined on a discrete random variable, the probability of occurrence in a time interval or region of disjoint space. Additionally, review the Negative Exponential distribution used to model the interval time between consecutive Poisson events occurring independently, or which occurrence probability of the events in a time interval does not depend on those that occurred at other time intervals, for this reason is identified as a distribution without memory. The Poisson process relates the Poisson function that represents a set of independent events occurred in a time interval or space region with the times given between the occurrences of events according to the Negative Exponential distribution. The above concepts are used in queuing theory, a branch of operations research that describes and provides solutions to situations where a set of individuals or elements are at lines waiting to receive a service, which are exemplified with application in the medical field.