Digital Twin and Blockchain for Sustainable Healthcare 5.0: Real-Life Applications and Case Studies
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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.
Dr. Sudeep Tanwar
Professor, CSED, Institute of Technology, Nirma University, Ahmedabad, India
Dr. Sudeep Tanwar (M'15, SM'21) is currently working as a Professor of the Computer Science and Engineering Department at the Institute of Technology, Nirma University, India. Dr. Tanwar is a visiting Professor in Jan Wyzykowski University in Polkowice, Poland and University of Pitestiin Pitesti, Romania. Dr. Tanwar's research interests include Blockchain Technology, Wireless Sensor Networks, Fog Computing, Smart Grid, and IoT. He has authored 02 books and edited 13 books, more than 200 technical papers, including top journals and top conferences, such as IEEE TNSE, TVT, TII, WCM, Networks, ICC, GLOBECOM, and INFOCOM. Dr. Tanwar initiated the research field of blockchain technology adoption in various verticals in 2017. His h-index is 38. Dr. Tanwar actively serves his research communities in various roles. He is currently serving the editorial boards of Physical Communication, Computer Communications, International Journal of Communication System, and Security and Privacy. He has been awarded the best research paper awards from IEEE GLOBECOM 2018, IEEE ICC 2019, and Springer ICRIC-2019. He has served many international conferences as a member of the organizing committee, such as publication chair for FTNCT-2020, ICCIC 2020, WiMob2019, member of the advisory board for ICACCT-2021, ICACI 2020, workshop co-chair for CIS 2021, and general chair for IC4S 2019, 2020, ICCSDF 2020. Dr. Tanwar is a final voting member for IEEE ComSoc Tactile Internet Committee in 2020. He is a Senior Member of IEEE, CSI, IAENG, ISTE, CSTA, and the member of the Technical Committee on Tactile Internet of IEEE Communication Society.
Dr. Monica Gahlawat
Associate Professor, HOD (Integrated MCA), L J Institute of Computer Applications, L J University.
Dr. Monica Gahlawat is currently working as an Associate Professor at L J Institute of Computer Applications (L J University), Ahmedabad Gujarat. She is the Head of the department in Integrated MCA. She is an Executive member of IARAI (International Association for Responsible Artificial Intelligence). She is reviewer in the prestigious Journals i.e.Intelligent Systems with Applications. She is active in research-based activities. Her area of Interest includes Cloud computing, Fog Computing, Edge Computing, Machine learning, and Blockchain technology.
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