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        Digital Twin and Blockchain for Sustainable Healthcare 5.0

        Real-Life Applications and Case Studies

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        Contributor(s)
        Gahlawat, Monica (editor)
        Tanwar, Sudeep (editor)
        Language
        English
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        Abstract
        This book investigates blockchain and digital twin technologies to offer insights into their potential applications in the healthcare industry. It explores how these technologies can work together to build a strong and sustainable healthcare ecosystem, improve patient satisfaction, and streamline administrative procedures. Through examples, case studies and discussions, the book highlights their use in supply chain management, disease prediction, and patient monitoring. It addresses challenges and offers solutions, examining ethical and legal considerations and the integration of patient preferences. • Explores how blockchain technology can support digital twin technology in healthcare applications, facilitating efficient and secure data management. • Studies utilisation of advanced machine learning algorithms and predictive models in healthcare applications. • Discusses how the integration of digital twin and blockchain technologies can contribute to sustainable development in personalised healthcare. • Considers the ethical and legal implications associated with personalised treatment options, providing a comprehensive examination of these considerations. • Integration of patient preferences into personalised healthcare approaches, emphasising the importance of patient-centric care. Aimed at professionals, researchers, and policymakers interested in Healthcare 5.0., the book provides comprehensive coverage of these technologies and their role in shaping sustainable healthcare practices. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.
        URI
        https://library.oapen.org/handle/20.500.12657/107726
        Keywords
        Nanotechnology; Cloud Computing; Bigdata; Drone Technology in Healthcare; digital twins for medical device; bloackchain; Healthcare 5.0
        DOI
        10.1201/9781003532286
        ISBN
        9781040402474, 9781040402474, 9781032854434, 9781003532286, 9781040402528
        Publisher
        Taylor & Francis
        Publisher website
        https://taylorandfrancis.com/
        Publication date and place
        2025
        Imprint
        Chapman and Hall/CRC
        Classification
        Artificial intelligence
        Digital and information technologies: Legal aspects
        Digital and information technologies: social and ethical aspects
        Public health and preventive medicine
        Data mining
        Public ownership / nationalization
        Health systems and services
        Automatic control engineering
        Pages
        328
        Public remark
        Funded by: Taylor & Francis Pledge to Open
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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