155. A Generic Framework for Organizational Digital Twins in Healthcare: Application to an Emergency Department
Invited abstract in session FA-1: Simulation 2, stream Sessions.
Friday, 9:00-10:30Room: NTNU, Realfagbygget R5
Authors (first author is the speaker)
| 1. | Marius Huguet
|
| Ecole des Mines de Saint-Etienne | |
| 2. | Vincent Augusto
|
| Mines Saint-Etienne |
Abstract
In recent years, there has been growing interest in leveraging modeling and simulation methods to support public health decision-making, particularly for complex healthcare systems. At the forefront of this movement is the development of digital twins—virtual representations of physical systems capable of real-time synchronization. In this study, we present a generic framework for synchronizing an organizational digital twin of healthcare systems. The framework is applied to a case study of an emergency department, using emulated data to validate its robustness. The emulator is calibrated with real data from a French hospital's emergency department. The proposed framework consists of two core components: a synchronous component and an asynchronous component. The synchronous component offers a real-time virtual representation of the physical system, specifically modeling patient flows. We introduce a flexible modeling approach for this component, designed to adapt to varying levels of real-time data availability—whether full, partial, or absent. The asynchronous component serves as a decision-support tool for conducting predictive simulations under different scenarios. A key feature of this component is its ability to automatically initialize based on the current state of the system, enabling dynamic and context-aware forecasting. This work introduces an adaptable digital twin framework designed to support strategic decision-making in healthcare systems.
Keywords
- Patient flow
- Modelling and simulation
- Emergency Department
Status: accepted
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