An Approach to the Modeling and Simulation of Intra-Hospital Diseases

This publication presents an approach to a simulator to recreate a large number of scenarios and to make agile decisions in the planning of a real emergency room system. A modeling and simulation focused on the point prevalence of intrahospital infections in an emergency room and how it is affected...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Maccallini, Lucas, Encinas, Diego, Romero, Fernando
Formato: Articulo
Lenguaje:Inglés
Publicado: 2021
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/128265
Aporte de:
id I19-R120-10915-128265
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Simulation Health Systems ABMS
Simulación Sistemas de Salud ABMS.
spellingShingle Ciencias Informáticas
Simulation Health Systems ABMS
Simulación Sistemas de Salud ABMS.
Maccallini, Lucas
Encinas, Diego
Romero, Fernando
An Approach to the Modeling and Simulation of Intra-Hospital Diseases
topic_facet Ciencias Informáticas
Simulation Health Systems ABMS
Simulación Sistemas de Salud ABMS.
description This publication presents an approach to a simulator to recreate a large number of scenarios and to make agile decisions in the planning of a real emergency room system. A modeling and simulation focused on the point prevalence of intrahospital infections in an emergency room and how it is affected by different factors related to hospital management. To carry out the simulator modeling, the Agent-based Modeling and Simulation (ABMS) paradigm was used. Thus, different intervening agents in the emergency room environment — patients and doctors, among others— were classified. The user belonging to the health system has different data to configure the simulation, such as the number of patients, the number of available beds, etc. Based on the tests carried out and the measurements obtained, it is concluded that the disease propagation model relative to the time and contact area of the patients has greater precision than the purely statistical model of the intensive care unit.
format Articulo
Articulo
author Maccallini, Lucas
Encinas, Diego
Romero, Fernando
author_facet Maccallini, Lucas
Encinas, Diego
Romero, Fernando
author_sort Maccallini, Lucas
title An Approach to the Modeling and Simulation of Intra-Hospital Diseases
title_short An Approach to the Modeling and Simulation of Intra-Hospital Diseases
title_full An Approach to the Modeling and Simulation of Intra-Hospital Diseases
title_fullStr An Approach to the Modeling and Simulation of Intra-Hospital Diseases
title_full_unstemmed An Approach to the Modeling and Simulation of Intra-Hospital Diseases
title_sort approach to the modeling and simulation of intra-hospital diseases
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/128265
work_keys_str_mv AT maccallinilucas anapproachtothemodelingandsimulationofintrahospitaldiseases
AT encinasdiego anapproachtothemodelingandsimulationofintrahospitaldiseases
AT romerofernando anapproachtothemodelingandsimulationofintrahospitaldiseases
AT maccallinilucas unacercamientoalamodelizacionysimulaciondeenfermedadesintrahospitalarias
AT encinasdiego unacercamientoalamodelizacionysimulaciondeenfermedadesintrahospitalarias
AT romerofernando unacercamientoalamodelizacionysimulaciondeenfermedadesintrahospitalarias
AT maccallinilucas approachtothemodelingandsimulationofintrahospitaldiseases
AT encinasdiego approachtothemodelingandsimulationofintrahospitaldiseases
AT romerofernando approachtothemodelingandsimulationofintrahospitaldiseases
bdutipo_str Repositorios
_version_ 1764820452194123778