Blockchain and Digital Twin for Smart Hospitals
- 1st Edition - February 1, 2025
- Imprint: Elsevier
- Editor: Tuan Anh Nguyen
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 4 2 2 6 - 4
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 4 2 2 7 - 1
Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare, covering the ecosystem of the Internet of Medical Things… Read more
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Request a sales quoteBlockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare, covering the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated, and managed with blockchain for efficient and private medical data exchange. Medical data is collected real-time from devices and systems in smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies.
- Provides the fundamentals of blockchain, digital twins, and IoMT
- Presents a useful guide for readers on the new applications of blockchain, the medical digital twin, and IoMT
- Explores how blockchain and digital twins can be used in the IoMT, smart hospitals, and for future healthcare services
Academic researchers, and professional engineers/scientists working in the field of advanced sensor networks, computer science, electronics, communication, public management, infra-structure management, traffic information management
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- About the editor
- Foreword
- Chapter 1. Introduction to smart hospital
- Abstract
- 1.1 Introduction
- 1.2 The paradigm shifts from Hospital 4.0 to Hospital 5.0 and significant proficiencies of smart sensors
- 1.3 Emerging technologies and their applications in the Hospitals 4.0/5.0
- 1.4 Architecture and design choices for smart sensors in the Hospital 4.0/5.0
- 1.5 Conclusion
- References
- Chapter 2. Machine learning and AI for the smart healthcare
- Abstract
- 2.1 Introduction
- 2.2 Quantity of previous publications
- 2.3 Findings and discussion
- 2.4 Conclusion
- 2.5 Suggestions for further research
- References
- Chapter 3. Digital twin–based healthcare facilities management
- Abstract
- 3.1 Introduction to digital twin technology, and smart healthcare services
- 3.2 Background work
- 3.3 Real-world case studies of digital twin application in healthcare facilities management
- 3.4 Open issues and challenges toward digital twin implementation for healthcare services
- 3.5 Future innovations/opportunities toward digital twin implementation for healthcare services
- 3.6 Future opportunities toward digital twin implementation and emerging technologies for healthcare services
- 3.7 Implications for healthcare facilities management for next generation
- 3.8 Conclusion
- References
- Chapter 4. Role of digital twins and blockchain for the internet of medical things
- Abstract
- 4.1 Introduction
- 4.2 Layers of DT framework
- 4.3 Related work
- 4.4 Integration of digital twins
- 4.5 Blockchain
- 4.6 Analyzing requirements and threats
- 4.7 Existing tools for DT framework
- 4.8 Existing end-to-end DT frameworks
- 4.9 Application areas for DT
- 4.10 Constraints, obstacles, and future paths
- 4.11 Conclusion
- References
- Chapter 5. Blockchain technology and neural networks for the Internet of Medical Things
- Abstract
- 5.1 Introduction
- 5.2 Internet of Medical Things
- 5.3 Blockchain technology in IoMT
- 5.4 Neural networks in IoMT
- 5.5 Integrating blockchain technology and neural networks in IoMT
- 5.6 Conclusion and future directions
- References
- Chapter 6. Blockchain technology in AI-powered smart hospital
- Abstract
- 6.1 Introduction to overview of smart hospitals and medical devices
- 6.2 Foundations of smart hospitals
- 6.3 Available medical devices in the AI-based smart era
- 6.4 Blockchain technology in healthcare: uses, benefits, and limitations
- 6.5 Integration of AI and blockchain for smart medical devices and smart hospitals
- 6.6 AI-driven data analytics and blockchain implementation for smart healthcare services
- 6.7 Blockchain-powered AI in medical devices for improved diagnostics and patient care
- 6.8 Security and privacy issues in smart medical devices, hospitals, and smart healthcare
- 6.9 Challenges and recommended solutions for smart medical devices, hospitals, and smart healthcare
- 6.10 Future opportunities/emerging technologies toward AI and blockchain-based smart hospital and healthcare
- 6.11 Conclusion
- References
- Chapter 7. Intelligent health care: applications of artificial intelligence and machine learning in computational medicine
- Abstract
- 7.1 Introduction
- 7.2 Data in computational medicine
- 7.3 Applications of AI in diagnostics
- 7.4 AI and personalized medicine
- 7.5 Predictive analytics and disease prevention
- 7.6 AI and ML in treatment planning
- 7.7 Natural language processing in healthcare/cancer care
- 7.8 Biotechnology and industrial biotechnology
- References
- Chapter 8. Intelligent machines with enhanced episodic memory for transformation of healthcare
- Abstract
- 8.1 Introduction
- 8.2 Applications of computational modeling of episodic memory
- 8.3 Merging computational modeling of episodic memory with industry 4.0
- 8.4 Ingredients of a healthcare system in the era of advanced technologies
- 8.5 Digital manufacturing and advanced materials processing
- 8.6 Transformative frontiers: exploring the spectrum of robotics in healthcare
- 8.7 Social robotics revolutionizing healthcare: navigating from industrial roots to affordable and accessible services
- 8.8 Survey of computational episodic memory models
- 8.9 Summary of the survey
- 8.10 Research gaps and future directions
- 8.11 Conclusion
- References
- Chapter 9. Advancing electronic medical data protection through blockchain innovation
- Abstract
- 9.1 Introduction
- 9.2 Related work
- 9.3 Proposed workflow
- 9.4 Discussion and flow of implementation
- 9.5 Application of working approach
- 9.6 Advantages and disadvantages of proposed system
- 9.7 Conclusion
- References
- Chapter 10. Efficient and provably secure framework for authenticating internet of medical things in smart hospitals
- Abstract
- 10.1 Introduction
- 10.2 Related work
- 10.3 Proposed protocol
- 10.4 Security analysis
- 10.5 Performance evaluation
- 10.6 Conclusion
- Abbreviations
- References
- Chapter 11. Telemedicine for pain management
- Abstract
- 11.1 Introduction
- 11.2 Research perspectives and applications
- 11.3 Conclusion
- References
- Chapter 12. Telemedicine/telehealth in smart hospital care
- Abstract
- 12.1 Introduction
- 12.2 Telehealth and telemedicine
- 12.3 Telehealth/telemedicine in smart hospital care
- 12.4 Telehealthcare service delivery companies
- 12.5 Benefits and limitations involved in telemedicine/telehealth
- 12.6 Conclusion
- References
- Chapter 13. Digital twin application in healthcare facilities management
- Abstract
- 13.1 Introduction
- 13.2 Overview of healthcare facilities
- 13.3 Definitions of digital twin
- 13.4 Digital twin application in the healthcare industry
- 13.5 Theoretical frameworks in hospital facilities research
- 13.6 Challenges and strategies to digital twin maintenance management of healthcare facilities in developing countries
- 13.7 Conclusion
- References
- Chapter 14. Revolutionizing healthcare: harnessing the power of integrated blockchain and digital twins in smart hospitals
- Abstract
- 14.1 Introduction
- 14.2 Applications of blockchain technology in healthcare
- 14.3 Applications of DT technology in healthcare
- 14.4 Integration of blockchain and DTs in healthcare
- 14.5 The Internet of Medical Things in smart hospitals
- 14.6 Future of integrated blockchain and DTs in healthcare
- 14.7 Conclusion
- References
- Chapter 15. 6G and blockchain convergence in the smart industry
- Abstract
- 15.1 Introduction
- 15.2 Introduction to blockchain technology
- 15.3 Smart contract
- 15.4 Applicable uses of blockchain in smart industry
- 15.5 Blockchain technology and 6G
- 15.6 Conclusion
- Reference
- Chapter 16. Blockchain-based digital twin management architecture for Internet of Medical Things Networks
- Abstract
- 16.1 Introduction to IoT devices and digital twins
- 16.2 Integrating digital twins with IoT
- 16.3 Related work
- 16.4 Blockchain-based digital twin management system
- 16.5 Result and discussion
- 16.6 Conclusion
- References
- Chapter 17. Blockchain for secure data sharing in zero-trust human digital twin systems
- Abstract
- 17.1 Introduction
- 17.2 Related work
- 17.3 System model
- 17.4 Reputation-enabled PBFT consensus scheme
- 17.5 Performance analysis
- 17.6 Performance optimization using DRL
- 17.7 Numerical results
- 17.8 Conclusions
- References
- Chapter 18. Advancements and future pathway in human body digital twins
- Abstract
- 18.1 Introduction
- 18.2 Human body digital twins physical system
- 18.3 Digital twins applications in different levels
- 18.4 Future pathways of human body digital twins
- 18.5 Conclusion
- References
- Chapter 19. AI-enabled IoMT for smart cancer care: plausible use cases, key challenges, and future road map
- Abstract
- 19.1 Introduction
- 19.2 Use cases of AI-enabled IoMT for cancer care
- 19.3 Key challenges
- 19.4 Future directions
- 19.5 Conclusion
- Acknowledgment
- References
- Chapter 20. Digital twins and brain surgery: revolutionizing neurosurgical procedures through advanced simulation
- Abstract
- 20.1 Introduction
- 20.2 The concept of digital twins
- 20.3 Digital twins in presurgical planning
- 20.4 Simulation and outcome prediction
- 20.5 Personalized medicine and neurosurgery
- 20.6 Training and education
- 20.7 Challenges and future directions
- 20.8 Conclusion
- References
- Chapter 21. Cloud computing- and digital twin-based monitoring framework for healthcare applications
- Abstract
- 21.1 Introduction
- 21.2 Concept of cloud computing
- 21.3 Concept of DT
- 21.4 Cloud computing and digital twin-based healthcare monitoring
- 21.5 Application fields of cloud computing and DT
- 21.6 Application status in medicine
- 21.7 Basic research on DT models
- 21.8 Prospect of DT in medicine
- 21.9 Conclusion
- References
- Chapter 22. Green blockchain privacy—evidence from patients' identities management in healthcare
- Abstract
- 22.1 Introduction
- 22.2 Literature review
- 22.3 Methodology
- 22.4 Implementation evaluation analysis
- 22.5 Conclusions
- References
- Chapter 23. AI-enabled IoMT: transforming healthcare in smart hospitals
- Abstract
- 23.1 Introduction
- 23.2 Building blocks of AI-enabled IoMT
- 23.3 AI techniques for IoMT
- 23.4 AI-powered IoMT applications in smart hospitals
- 23.5 Impact of AI-enabled IoMT on healthcare
- 23.6 Security, privacy, and ethical considerations
- 23.7 Conclusion
- Acknowledgments
- References
- Chapter 24. Transforming healthcare with blockchain and digital twins: innovations in IoMT for smart hospitals
- Abstract
- 24.1 Introduction
- 24.2 Understanding the core technologies
- 24.3 Integration of blockchain and digital twins in IoMT
- 24.4 Benefits of integration
- 24.5 Case studies and real-world applications
- 24.6 Challenges and solutions
- 24.7 Future trends and developments
- 24.8 Conclusion
- References
- Chapter 25. Enhancing hospital operations efficiency through digital twin technology
- Abstract
- 25.1 Introduction
- 25.2 Understanding digital twins
- 25.3 Role of DTs in healthcare
- 25.4 Benefits, policies, and challenges of DTs in hospital operations
- 25.5 Future trends and innovations
- 25.6 Conclusion
- References
- Index
- Edition: 1
- Published: February 1, 2025
- Imprint: Elsevier
- No. of pages: 576
- Language: English
- Paperback ISBN: 9780443342264
- eBook ISBN: 9780443342271
TN
Tuan Anh Nguyen
Tuan Anh Nguyen is a Senior Principal Research Scientist at the Institute for Tropical Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam. He received a BS in physics from Hanoi University in 1992, a BS in economics from Hanoi National Economics University in 1997, and a PhD in chemistry from the Paris Diderot University, France, in 2003. He was a Visiting Scientist at Seoul National University, South Korea, in 2004, and the University of Wollongong, Australia, in 2005. He then worked as a Postdoctoral Research Associate and Research Scientist at Montana State University, United States in 2006-09. In 2012 he was appointed as the Head of the Microanalysis Department at the Institute for Tropical Technology. His research areas of interest include smart sensors, smart networks, smart hospitals, smart cities, complexiverse, and digital twins. He has edited more than 74 books for Elsevier, 12 books for CRC Press, 1 book for Springer, 1 book for RSC, and 2 books for IGI Global. He is the Editor-in-Chief of Kenkyu Journal of Nanotechnology & Nanoscience.
Affiliations and expertise
Senior Principal Research Scientist, Institute for Tropical Technology, Vietnam Academy of Science and Technology, Hanoi, VietnamRead Blockchain and Digital Twin for Smart Hospitals on ScienceDirect