A health digital twin framework for discrete event simulation based optimised critical care workflows
Journal article
Appuhamilage, G., Hussain, M., Zaman, M. and Khan, W. 2025. A health digital twin framework for discrete event simulation based optimised critical care workflows. npj digital medicine. 8, pp. 1-16. https://doi.org/10.1038/s41746-025-01738-4
| Authors | Appuhamilage, G., Hussain, M., Zaman, M. and Khan, W. |
|---|---|
| Abstract | Digital twins have been used in industries and is now gaining traction in healthcare, particularly in precision medicine. Discrete Event Simulation is a modelling methodology for simulating processes and workflows in healthcare. This paper presents a methodology that integrates these technologies to optimise critical care workflows based on real-time state changes, emphasising patient safety, operational efficiency, and sustainability. This study proposes a novel dual-layer architecture to monitor physical and conceptual entities in the Critical Care Unit. In the current scope, this study aims to establish a methodology using Azure cloud to track treatment workflows in real-time. The results indicated that by reviewing observation forms alone successfully tracked 72% of staff-performed tasks in real-time. This study underscores the potential of digital twins to transform precision care in critical care delivery by bridging the gap between actual and ideal clinical practices. |
| Year | 2025 |
| Journal | npj digital medicine |
| Journal citation | 8, pp. 1-16 |
| Publisher | Springer |
| ISSN | 2398-6352 |
| Digital Object Identifier (DOI) | https://doi.org/10.1038/s41746-025-01738-4 |
| Web address (URL) | https://www.nature.com/articles/s41746-025-01738-4 |
| Funder | NOETIC LTD |
| University of Derby | |
| Publisher's version | License File Access Level Open |
| Output status | Published |
| Publication dates | |
| Online | 19 Jun 2025 |
| Publication process dates | |
| Accepted | 20 May 2025 |
| Deposited | 23 Jun 2025 |
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