Publication:
Simulation models to support intensive care unit decision-making in pandemic and non-pandemic times

Consultable a partir de

Date

2022

Publisher

Acceso abierto / Sarbide irekia
Tesis doctoral / Doktoretza tesia

Project identifier

Abstract

The aim of this thesis is the construction of simulation models to analyse and improve patient admission and inpatient discharge decisions in an Intensive Care Unit (ICU). These decisions are especially relevant in situations of high ICU occupancy because they can lead to the early discharge of an admitted patient or the redirection of a newcomer. Exceptional circumstances, such as the global COVID-19 pandemic that broke out in 2019, increase the need for ICU beds, making this type of study even more relevant. The development of two interactive simulators has enabled us to understand and support ICU decision-making, both in and out of pandemics.

Keywords

Simulation in healthcare, Management flight simulator, ICU, Discrete event simulation model, Gompertz growth model, Hospital resources planning, COVID-19

Department

Estadística, Informática y Matemáticas / Estatistika, Informatika eta Matematika

Faculty/School

Degree

Doctorate program

Programa de Doctorado en Tecnologías de las Comunicaciones, Bioingeniería y de las Energías Renovables (RD 99/2011)
Bioingeniaritzako eta Komunikazioen eta Energia Berriztagarrien Teknologietako Doktoretza Programa (ED 99/2011)

Editor version

Funding entities

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