Digital Twin and Blockchain for Sustainable Healthcare 5.0

Real-Life Applications and Case Studies
1. Auflage 2025
ISBN: 978-1-032-85443-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 328 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

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.

Zielgruppe

Academic

Autoren/Hrsg.

Gahlawat, Monica

Tanwar, Sudeep

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Verteilte Systeme (Netzwerke)
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Gesundheitswirtschaft
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Inhaltsverzeichnis

Chapter 1: Digital Twin: Advancements, Technologies, and Applications, Chapter 2: Using Blockchain-enabled Digital Twins to Optimize Healthcare Workflows and Improve Efficiency, Chapter 3: Automated Insurance Claim Settlement Leveraging Blockchain and Digital Twin Technologies in Healthcare 5.0, Chapter 4: Leveraging Blockchain Interoperability for Sustainable Healthcare: A Review and Analysis, Chapter 5: Transforming Healthcare: Blockchain and Digital Twins for Secure Data Exchange, Chapter 6: Ensuring Privacy and Security: A Framework for Sharing Anonymized Patient Data for Clinical Trials and Drug Discovery, Chapter 7: The Role of Digital Twins in Predicting and Preventing Diabetes, Chapter 8: The Potential of Digital Twins and Blockchain for Precision Drug Development and Delivery, Chapter 9: Role of Artificial Intelligence in Healthcare 5.0, Chapter 10: Role of IoT in Healthcare 5.0, Chapter 11: Role of 5G in Healthcare 5.0, Chapter 12: Role of Blockchain in Healthcare 5.0, Chapter 13: Security Challenges and Mitigating Strategies of Digital Twin in Healthcare 5.0: A Review, and Chapter 14: Pilot Projects of Digital Twin and Blockchain for Healthcare 5.0.

Über Autor(innen)

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.