An Agent-Based Modeling and Virtual Reality Application Using Distributed Simulation: Case of a COVID-19 Intensive Care Unit
Ieee Transactions on Engineering Management
; 2022.
Article
in English
| Web of Science | ID: covidwho-2005239
ABSTRACT
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.
Solid modeling; Computational modeling; COVID-19; Interoperability; Hospitals; Data models; Pandemics; Agent-based modeling (ABM); cloud; computing; COVID-19; discrete event simulation (DES); distributed; simulation (DS); healthcare systems; high-level architecture (HLA); hybrid simulation; intensive care unit (ICU); interoperability; virtual; reality (VR); HLA
Full text:
Available
Collection:
Databases of international organizations
Database:
Web of Science
Language:
English
Journal:
Ieee Transactions on Engineering Management
Year:
2022
Document Type:
Article
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