EconPapers    
Economics at your fingertips  
 

An Agent-Based Architecture of the Digital Twin for an Emergency Department

Thierry Moyaux, Yinling Liu, Guillaume Bouleux and Vincent Cheutet ()
Additional contact information
Thierry Moyaux: University Lyon, INSA Lyon, University Jean Monnet Saint-Etienne, University Claude Bernard Lyon 1, University Lumière·Lyon 2, DISP UR4570, 69621 Villeurbanne, France
Yinling Liu: University Lorraine, CNRS, CRAN UMR 7039, University Lorraine, 54000 Nancy, France
Guillaume Bouleux: University Lyon, INSA Lyon, University Jean Monnet Saint-Etienne, University Claude Bernard Lyon 1, University Lumière·Lyon 2, DISP UR4570, 69621 Villeurbanne, France
Vincent Cheutet: University Lyon, INSA Lyon, University Jean Monnet Saint-Etienne, University Claude Bernard Lyon 1, University Lumière·Lyon 2, DISP UR4570, 69621 Villeurbanne, France

Sustainability, 2023, vol. 15, issue 4, 1-13

Abstract: The concept of Digital Twin (DT) seems promising to improve the management of patient pathways in Emergency Departments (EDs). This article proposes an agent-based architecture of a DT designed for that purpose. The core of this DT is its Information System (IS), which is regularly synchronised on the IS of the Physical Twin (PT). The agents model the ED’s resources (equipment and staff) and patients in the DT and update this information in the DT’s IS. This article shows how such a DT may operate in three modes: (0) “Digital Shadow” to monitor the ED’s current state in real time, (1) “Synchronised DT” to monitor the ED’s current and future states according to a predictive simulation, and (2) “Exploratory DT” in order to perform Monte Carlo simulations of various future states. Mode (1) is the main contribution. This proposition is illustrated in a simulation of the ED in order to demonstrate the capabilities.

Keywords: architecture; digital twin; agent-based simulation (ABS); patient pathway (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/4/3412/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/4/3412/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:4:p:3412-:d:1066818

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3412-:d:1066818