Técnicas de clusterización aplicadas en la programación del bloque quirúrgico en hospitales de alta complegidad

Abstract

In recent years, the rates of scheduled surgical interventions have had a considerable rise, which can be seen reflected in the RIPS, this rise has had an impact on different fronts, including the one that starts the internal process that occurs in This entire cycle of care, this refers to the one in which all entities arrive and wait to be assigned, this assignment better known as programming of the surgical block, the vast majority is executed manually or semi-automatically. One of the main problems for scheduling the surgical block is the existing rigidity in different algorithms and the uncertainty of the intervention times, there are different ways of covering the problem for the allocation of the operating room, within the literature there are various methods, some more focused on the issue of allocation as a problem of optimal and others more focused on reducing the existing uncertainties in the surgery time for allocation. In this case, the problem has been taken under a more complex approach, proposing a way to reduce the uncertainty in the time variable by means of clustering methods, suggesting the addition of external variables to generate an integral model, and on the other hand, a second part which is in charge of an approach to adapt different scheduling algorithms, in this case a particular one that emerges as a novel approach.