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Digital Twins for Precision Healthcare

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Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity

Abstract

Precision 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.

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Author information

Authors and Affiliations

  1. Wolverhampton Cyber Research Institute (WCRI), University of Wolverhampton, Wolverhampton, UK

    Gabriela Ahmadi-Assalemi, Haider Al-Khateeb, Gregory Epiphaniou & Zhraa A. Alhaboby

  2. University of Warwick, WMG Group, Coventry, West Midlands, UK

    Carsten Maple

  3. Institute of Informatics and Computing in Energy, Universiti Tenaga Nasional, Kajang, Malaysia

    Sultan Alkaabi

  4. Faculty of Medicine, University of Duisburg-Essen, Duisburg/Essen, Germany

    Doaa Alhaboby

Authors
  1. Gabriela Ahmadi-Assalemi
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  2. Haider Al-Khateeb
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  3. Carsten Maple
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  4. Gregory Epiphaniou
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  5. Zhraa A. Alhaboby
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  6. Sultan Alkaabi
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  7. Doaa Alhaboby
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Corresponding author

Correspondence to Haider Al-Khateeb .

Editor information

Editors and Affiliations

  1. Northumbria University, London, UK

    Hamid Jahankhani

  2. Cyfortis, Worcester Park, Surrey, UK

    Stefan Kendzierskyj

  3. Open Innovation House, Saidot OY, ESPOO, Finland

    Nishan Chelvachandran

  4. Northumbria University, London, UK

    Jaime Ibarra

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Ahmadi-Assalemi, G. et al. (2020). Digital Twins for Precision Healthcare. In: Jahankhani, H., Kendzierskyj, S., Chelvachandran, N., Ibarra, J. (eds) Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-35746-7_8

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