HospiT’Win: a digital twin framework for patients’ pathways real-time monitoring and hospital organizational resilience capacity enhancement
Abdallah Karakra, Elyes Lamine, Franck Fontanili, Jacques Lamothe
Abstract
The recent challenges presented by the Coronavirus pandemic (COVID-19) are examples for the need to improve the soundness and resilience of hospital management. Digital Twin technique seems to be a relevant means to attend these needs. It consists of virtual representations of real assets and/or processes that are used to understand, predict and optimize their operation and efficiency. The present work sets out to investigate the usefulness of this technique for hospital management and points out the process of developing a digital twin framework dedicated to real-time monitoring of patients’ pathways and predicting their near future. It aims to handle irregular, unusual and unexpected behaviors that may happen in hospitals and helps to make the right decision to mitigate the unpredictability situation. Different issues related to the way of developing, initializing and synchronizing the digital twin are discussed in this paper.