Work

A health digital twin framework for discrete event simulation based optimised critical care workflows

Year: 2025

Type: article

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.

Source: npj Digital Medicine

DOI: 10.1038/s41746-025-01738-4

Authors: Gayan Dihantha Kuruppu Kuruppu Appuhamilage, Maqbool Hussain, Mohsin Zaman, Wajahat Ali Khan

Institutions: University of Derby, Northampton General Hospital NHS Trust

Language: English

Topic: Digital Transformation in Industry

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $4,090