HospiT'Win: A Predictive Simulation-Based Digital Twin for Patients Pathways in Hospital

Abstract : Hospitals are starting to move away from traditional based-systems to the information technology based-systems. Today, Internet of Things (IoT), Body Sensor Network (BSN), Modeling, Simulation, and Artificial Intelligence (AI) are core technology elements that will be used in hospital of the future to improve the quality of patient care. Collecting the patient's data and monitoring their states and behavior became mandatory to improve their care. This paper proposes a novel framework for supporting the hospital of the future named HospiT'Win. This framework uses the core technology elements mentioned above to create a digital twin, that is a virtual replica of the hospital, allowing the health care providers to trace the patient's pathways data, monitor their behaviors, and predict their near future outcomes. So that, they can provide the right care in a right place, and in a right time. The paper explains in details the main components, the structure, and the way to synchronize the state and the behavior of the digital twin with the patients pathways in the real hospital. In case of unexpected events, HospiT'Win predicts the near future to see their impact on the real hospital. Moreover, it provides the possible solutions to minimize the impact of these events to preserve the quality of health care inside the hospital.
Document type :
Conference papers
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download

https://hal-mines-albi.archives-ouvertes.fr/hal-02292836
Contributor : Imt Mines Albi Ecole Nationale Supérieure Des Mines d'Albi-Carmaux <>
Submitted on : Wednesday, September 25, 2019 - 4:44:59 PM
Last modification on : Tuesday, October 22, 2019 - 1:28:23 PM

File

PID5845311.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Abdallah Karakra, Franck Fontanili, Elyes Lamine, Jacques Lamothe. HospiT'Win: A Predictive Simulation-Based Digital Twin for Patients Pathways in Hospital. 2019 IEEE EMBS - International Conference on Biomedical & Health Informatics (BHI), May 2019, Chicago, United States. p. 1-4, ⟨10.1109/BHI.2019.8834534⟩. ⟨hal-02292836⟩

Share

Metrics

Record views

119

Files downloads

56