A Digital Twin Framework for Personalized Healthcare Management Services

Hikmat Ullah, Najah Abuali, Mohammed Hayajneh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Smart healthcare is undergoing a complete transformation due to the use of advanced information technologies such as IoT, big data analytics, cloud computing, and AI. These technologies are revolutionizing the traditional medical system. This revolution aims to improve healthcare management services (HMS) by making them more efficient, convenient, and tailored to individual needs. Despite advancements, these systems still face a number of challenges, particularly when it comes to assisting the elderly; for example, smart supervision and feedback, intelligent monitoring, and facilitating future medical services. Further, these systems cannot provide continuous personalized HMS to the elderly throughout their lives. A framework based on Digital Twin (DT) technology is introduced to address these issues. This framework is designed to be flexible and adaptable, allowing for exploring and resolving a wide range of the aforementioned challenges. DT emerges as a promising technology and an influential trend. It is believed that DT will revolutionize the paradigm of digital healthcare. DT is a virtual digital representation of a real-world entity or asset. It utilizes real-time transformed data that accurately reflects the current status of an entity. The proposed DT framework for smart healthcare enables various benefits such as real-time monitoring, early diagnoses, predicting panic situations, checking vital signs, providing precise medications, monitoring changes in the indoor environment, maintaining massive medical history records, and supporting effective PHM. Further, a case study of a complete cycle for real-time supervision is explained based on the detailed architectures.

Original languageEnglish
Title of host publication2023 IEEE World Forum on Internet of Things
Subtitle of host publicationThe Blue Planet: A Marriage of Sea and Space, WF-IoT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350311617
DOIs
Publication statusPublished - 2023
Event9th IEEE World Forum on Internet of Things, WF-IoT 2023 - Hybrid, Aveiro, Portugal
Duration: Oct 12 2023Oct 27 2023

Publication series

Name2023 IEEE World Forum on Internet of Things: The Blue Planet: A Marriage of Sea and Space, WF-IoT 2023

Conference

Conference9th IEEE World Forum on Internet of Things, WF-IoT 2023
Country/TerritoryPortugal
CityHybrid, Aveiro
Period10/12/2310/27/23

Keywords

  • Digital Twin
  • Elderly Monitoring
  • Healthcare Management Services
  • Internet of Things
  • Smart Healthcare

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Modelling and Simulation
  • Instrumentation

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