Moretti, Nicola;
Chan, Yin-Chi;
Nakaoka, Momoko;
Mukherjee, Anandarup;
Merino, Jorge;
Parlikad, Ajith Kumar;
(2025)
Data Integration for Space-Aware Digital Twins of Hospital Operations.
Automation in Construction
, 176
, Article 106276. 10.1016/j.autcon.2025.106276.
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Abstract
Healthcare facilities are complex systems where operational efficiency depends on space, processes, resources, and logistics. While many studies propose process-simulation-based improvements, few dynamically consider the built space’s effect on process efficiency. The critical challenge here is the effective integration of data from these disparate domains. This article addresses this challenge by proposing an open Building Information Modelling (BIM) to Discrete Event Simulation (DES) data integration framework towards the development of a space-aware process Digital Twin (DT), with the goal of determining and controlling the impact of spatial layout and built asset performance on core-process throughput. A case study of a multi-storey Histopathology laboratory demonstrates how the impact of changes in travel time between process stages, due to a faulty lift and functional re-configurations, on laboratory turnaround time can be managed integrating up-to-date building information in modelling core business processes. This is achieved through the space-aware process DT architecture.
| Type: | Article |
|---|---|
| Title: | Data Integration for Space-Aware Digital Twins of Hospital Operations |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.autcon.2025.106276 |
| Publisher version: | https://doi.org/10.1016/j.autcon.2025.106276 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Digital Twin Process Digital Twin, Healthcare facilities, Operations management, Facilities management, Building Information Modelling, Industry Foundation Classes, Discrete Event Simulation, Histopathology |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10208682 |
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