Publication:
Digital twins for precision healthcare

dc.citedby22
dc.contributor.authorAhmadi-Assalemi G.en_US
dc.contributor.authorAl-Khateeb H.en_US
dc.contributor.authorMaple C.en_US
dc.contributor.authorEpiphaniou G.en_US
dc.contributor.authorAlhaboby Z.A.en_US
dc.contributor.authorAlkaabi S.en_US
dc.contributor.authorAlhaboby D.en_US
dc.contributor.authorid57208524615en_US
dc.contributor.authorid55339456900en_US
dc.contributor.authorid6603067743en_US
dc.contributor.authorid36052693100en_US
dc.contributor.authorid57191446505en_US
dc.contributor.authorid57212311690en_US
dc.contributor.authorid57212063217en_US
dc.date.accessioned2023-05-29T08:13:26Z
dc.date.available2023-05-29T08:13:26Z
dc.date.issued2020
dc.description.abstractPrecision healthcare is an emerging concept that will see technology-driven digital transformation of the health service. It enables customised patient outcomes via the development of novel, targeted medical approaches with a focus on intelligent, data-centric smart healthcare models. Currently, precision healthcare is seen as a challenging model to apply due to the complexity of the healthcare ecosystem, which is a multi-level and multifaceted environment with high real-time interactions among disciplines, practitioners, patients and discrete computer systems. Digital Twins (DT) pairs individual physical artefacts with digital models reflecting their status in real-time. Creating a live-model for healthcare services introduces new opportunities for patient care including better risk assessment and evaluation without disturbing daily activities. In this article, to address design and management in this complexity, we examine recent work in Digital Twins (DT) to investigate the goals of precision healthcare at a patient and healthcare system levels. We further discuss the role of DT to achieve precision healthcare, proposed frameworks, the value of active participation and continuous monitoring, and the cyber-security challenges and ethical implications for this emerging paradigm. � 2020, Springer Nature Switzerland AG.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-030-35746-7_8
dc.identifier.epage158
dc.identifier.scopus2-s2.0-85085180425
dc.identifier.spage133
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85085180425&doi=10.1007%2f978-3-030-35746-7_8&partnerID=40&md5=aad6670ddab90a1e797468da4e84851a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25727
dc.publisherSpringeren_US
dc.sourceScopus
dc.sourcetitleAdvanced Sciences and Technologies for Security Applications
dc.titleDigital twins for precision healthcareen_US
dc.typeBook Chapteren_US
dspace.entity.typePublication
Files
Collections