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Lookup NU author(s): Dr Xiang XieORCiD
This is the authors' accepted manuscript of an article that has been published in its final definitive form by ICE Publishing, 2023.
For re-use rights please refer to the publisher's terms and conditions.
It has been witnessed that digital technology has the potential to improve the efficiency of emergent healthcare management in COVID-19, which however has not been widely adopted due to unclear definition and configuration. This research aims to propose a proof of concept of digital twins for emergent healthcare management through configuring the cyber and functional interdependencies of healthcare systems at local and city levels. Critical interdependencies of healthcare systems have been first identified at both levels and then the information and associated cyber and functional interdependencies embedded in seven critical hospital information systems (HISs) have been identified and mapped. The proposed conceptual digital twin-based approach has been then developed for information coordination amongst these critical HISs at both local and city levels based on permissioned blockchain to (1) integrate and manage the information from seven critical HISs, and further (2) predict the demands of medical resources according to patient trajectory. A case study has been finally conducted at three hospitals in London during the COVID-19 period, and the results showed that the developed framework of blockchain-integrated digital twins is a promising way to provide more accurate and timely procurement information to decision-makers and can effectively support evidence-based decisions on medical resource allocation in the pandemic.
Author(s): Lu Q, Chen L, Xie X, Fang Z, Ye Zhen, Pitt M
Publication type: Article
Publication status: Published
Journal: Proceedings of the Institute of Civil Engineers: Engineering Sustainability
Year: 2023
Volume: 176
Issue: 4
Pages: 228-243
Print publication date: 01/08/2023
Online publication date: 11/05/2023
Acceptance date: 07/04/2023
Date deposited: 04/07/2023
ISSN (print): 1478-4629
ISSN (electronic): 1751-7680
Publisher: ICE Publishing
URL: https://doi.org/10.1680/jensu.22.00073
DOI: 10.1680/jensu.22.00073
ePrints DOI: 10.57711/j0d9-pj97
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