TY - GEN
T1 - A Digital Twin Framework for Personalized Healthcare Management Services
AU - Ullah, Hikmat
AU - Abuali, Najah
AU - Hayajneh, Mohammed
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Digital Twin
KW - Elderly Monitoring
KW - Healthcare Management Services
KW - Internet of Things
KW - Smart Healthcare
UR - http://www.scopus.com/inward/record.url?scp=85195384362&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85195384362&partnerID=8YFLogxK
U2 - 10.1109/WF-IoT58464.2023.10539428
DO - 10.1109/WF-IoT58464.2023.10539428
M3 - Conference contribution
AN - SCOPUS:85195384362
T3 - 2023 IEEE World Forum on Internet of Things: The Blue Planet: A Marriage of Sea and Space, WF-IoT 2023
BT - 2023 IEEE World Forum on Internet of Things
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE World Forum on Internet of Things, WF-IoT 2023
Y2 - 12 October 2023 through 27 October 2023
ER -