Your browser doesn't support javascript.
loading
An Agent-Based Modeling and Virtual Reality Application Using Distributed Simulation: Case of a COVID-19 Intensive Care Unit.
Possik, Jalal; Asgary, Ali; Solis, Adriano O; Zacharewicz, Gregory; Shafiee, Mohammad A; Najafabadi, Mahdi M; Nadri, Nazanin; Guimaraes, Abel; Iranfar, Hossein; Ma, Philip; Lee, Christie M; Tofighi, Mohammadali; Aarabi, Mehdi; Gorecki, Simon; Wu, Jianhong.
Afiliação
  • Possik J; School of Administrative Studies and Advanced Disaster, Emergency and Rapid Response SimulationYork University Toronto ON M3J 1P3 Canada.
  • Asgary A; FGESUniversité Catholique de Lille F-59000 Lille France.
  • Solis AO; School of Administrative Studies and Advanced Disaster, Emergency and Rapid Response SimulationYork University Toronto ON M3J 1P3 Canada.
  • Zacharewicz G; School of Administrative Studies and Advanced Disaster, Emergency and Rapid Response SimulationYork University Toronto ON M3J 1P3 Canada.
  • Shafiee MA; Laboratoire des Sciences des RisquesInstitut Mines-Telecom-École des Mines d'Alès 30100 Alès France.
  • Najafabadi MM; Department of MedicineToronto General Hospital Toronto ON M5G 2C4 Canada.
  • Nadri N; Advanced Disaster, Emergency and Rapid Response SimulationYork University Toronto ON M3J 1P3 Canada.
  • Guimaraes A; Advanced Disaster, Emergency and Rapid Response SimulationYork University Toronto ON M3J 1P3 Canada.
  • Iranfar H; Advanced Disaster, Emergency and Rapid Response SimulationYork University Toronto ON M3J 1P3 Canada.
  • Ma P; Faculty of Computer EngineeringK. N. Toosi University of Technology Tehran 19967-15433 Iran.
  • Lee CM; Critical Care/Respiratory Therapy UnitToronto General Hospital Toronto ON M5G 2C4 Canada.
  • Tofighi M; Critical Care Medicine UnitSinai Health System Toronto ON M5G 1X5 Canada.
  • Aarabi M; Advanced Disaster, Emergency and Rapid Response SimulationYork University Toronto ON M3J 1P3 Canada.
  • Gorecki S; Department of MedicineToronto General Hospital Toronto ON M5G 2C4 Canada.
  • Wu J; Lab IMS UMR CNRS 5218University of Bordeaux 33400 Talence France.
IEEE Trans Eng Manag ; 70(8): 2931-2943, 2023 Aug.
Article em En | MEDLINE | ID: mdl-37954189
Hospitals and other healthcare settings use various simulation methods to improve their operations, management, and training. The COVID-19 pandemic, with the resulting necessity for rapid and remote assessment, has highlighted the critical role of modeling and simulation in healthcare, particularly distributed simulation (DS). DS enables integration of heterogeneous simulations to further increase the usability and effectiveness of individual simulations. This article presents a DS system that integrates two different simulations developed for a hospital intensive care unit (ICU) ward dedicated to COVID-19 patients. AnyLogic has been used to develop a simulation model of the ICU ward using agent-based and discrete event modeling methods. This simulation depicts and measures physical contacts between healthcare providers and patients. The Unity platform has been utilized to develop a virtual reality simulation of the ICU environment and operations. The high-level architecture, an IEEE standard for DS, has been used to build a cloud-based DS system by integrating and synchronizing the two simulation platforms. While enhancing the capabilities of both simulations, the DS system can be used for training purposes and assessment of different managerial and operational decisions to minimize contacts and disease transmission in the ICU ward by enabling data exchange between the two simulations.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article