Pervasive Computing Integrated Discrete Event Simulation for a Hospital Digital Twin

Karakra, Abdallah; Fontanili, Franck; Lamine, Elyes; Lamothe, Jacques; Taweel, Adel

doi:10.1109/aiccsa.2018.8612796

Cited by 32 publications

(13 citation statements)

References 5 publications

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“…With the advent of the IoT and the possibility of fully monitoring clinical patients with a wealth of body and environmental sensors and low-cost devices [260], there is the possibility to implement many different solutions to improve patients' quality of life without requiring their hospitalization. The availability of sensor technologies as well as the growing communication and embedded processing power opens the path to the application of the Digital Twin concept in healthcare [216] [217] [218]. In fact, the Digital Twin can represent the 'Digital Patients' in their own context, e.g., at home, during daily activities, etc., offering very effective ways to monitor and interact with the real patient.…”

Section: B Scenario 2: the Digital Patientmentioning

confidence: 99%

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

2020

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Section: B Scenario 2: the Digital Patientmentioning

confidence: 99%

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

2020

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“…In terms of remote surgery, the reliability and real-time communication should be ensured. For this purpose, the Heikki Laaki's team [33] developed a DT system. This system simulates the communication model of remote surgical task by DT for reliable communication to analyze communication needs in mission-critical applications (such as remote surgery supported by mobile networks).…”

Section: Treatment Of Diseasesmentioning

confidence: 99%

Application of Digital Twins in multiple fields

Guo

2022

Multimed Tools Appl

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With the development of science and technology, the high-tech industry is developing rapidly, and various new-age technologies continue to appear, and Digital Twins (DT) is one of them. As a brand-new interactive technology, DT technology can handle the interaction between the real world and the virtual world well. It has become a hot spot in the academic circles of all countries in the world. DT have developed rapidly in recent years result from centrality, integrity and dynamics. It is integrated with other technologies and has been applied in many fields, such as smart factory in industrial production, digital model of life in medical field, construction of smart city, security guarantee in aerospace field, immersive shopping in commercial field and so on. The introduction of DT is mostly a summary of concepts, and few practical applications of Digital Twins are introduced. The purpose of this paper is to enable people to understand the application status of DT technology. At the same time, the introduction of core technologies related to DT is interspersed in the application introduction. Finally, combined with the current development status of DT, predict the future development trend of DT and make a summary.

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“…Thus, mobile applications integrated with physical devices, provided to the operators, allow the efficient development of a digital twin for any healthcare process. Karakra et al [41] leveraged digital twin framework to address planning problems, such as staff scheduling or the reduction in waiting time. They integrated a discrete-event simulation model, which virtually represent the physical system, with IoT technologies, which collect data to update the model in real time.…”

Section: Literature Reviewmentioning

confidence: 99%

Digital Twin of COVID-19 Mass Vaccination Centers

et al. 2021

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The problem is the vaccination of a large number of people in a short time period, using minimum space and resources. The tradeoff is that this minimum number of resources must guarantee a good service for the patients, represented by the time spent in the system and in the queue. The goal is to develop a digital twin which integrates the physical and virtual systems and allows a real-time mapping of the patient flow to create a sustainable and dynamic vaccination center. Firstly, to reach this goal, a discrete-event simulation model is implemented. The simulation model is integrated with a mobile application that automatically collects time measures. By processing these measures, indicators can be computed to find problems, run the virtual model to solve them, and replicate improvements in the real system. The model is tested in a South Tyrol vaccination clinic and the best configuration found includes 31 operators and 306 places dedicated for the queues. This configuration allows the vaccination of 2164 patients in a 10-h shift, with a mean process time of 25 min. Data from the APP are managed to build the dashboard with indicators like number of people in queue for each phase and resource utilization.

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Pervasive Computing Integrated Discrete Event Simulation for a Hospital Digital Twin

Cited by 32 publications

References 5 publications

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

Application of Digital Twins in multiple fields

Digital Twin of COVID-19 Mass Vaccination Centers

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