The smart hospital framework involves three main layers: data, insight and access. Medical data is collected real-time from devices and systems in a smart hospitals: the internet of medical things (IOMT). 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 twins and blockchain technologies. Blockchain and Digital Twins for Smart Hospitals describes the role of blockchain and digital twins in smart healthcare. It describes the ecosystem of the IOMT, 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. Together with its companion volume, 'Blockchain and Digital Twins for Smart Healthcare', the book offers insight to aid faster, smarter decisions with more efficiency to improve care for the patient.
1. Introduction to smart hospital
2. Machine Learning and AI for smart healthcare
3. Digital Twin based Healthcare Facilities Management
4. Role of Digital Twins and Blockchain for the Internet of Medical Things
5. Blockchain Technology and Neural Networks for the Internet of Medical
Things
6. AI-Powered Blockchain Technology for Smart Hospital / Blockchain in
AI-powered medical devices
7. Intelligent health care: Applications of AI and ML in computational
medicine
8. Intelligent Machines with Enhanced Episodic Memory for Transformation of
Healthcare
9. Advancing Electronic Medical Data Protection through Blockchain
Innovation
10. Efficient and Provably Secure Framework for Authenticating Internet of
Medical Things in Smart Hospitals
11. Telemedicine for Pain Management
12. Telemedicine/Telehealth in smart hospital care
13. DIGITAL TWIN APPLICATION IN HEALTHCARE FACILITIES MANAGEMENT
14. Revolutionizing Healthcare: Harnessing the Power of Integrated Blockchain
and Digital Twins in Smart Hospitals
15. 6G and Blockchain Convergence in the smart industry
16. Blockchain-based digital twin management architecture for IoT/IoMT
devices
17. Blockchain for Secure Data Sharing in Zero Trust Human Digital Twin
Systems
18. Advancements and Future Pathway in Human Body Digital Twins
19. AI-Enabled IoMT for Smart Cancer Care: Plausible Use Cases, Key
Challenges and Future Road Map
20. Digital Twins and Brain Surgery: Revolutionizing Neurosurgical Procedures
through Advanced Simulation
21. Cloud Computing- and Digital Twin- Based Monitoring Framework for
Healthcare Applications
22. Green Blockchain Privacy - Evidence from Patients' Identities
Management in Healthcare
23. AI-enabled IoMT: Transforming Healthcare in Smart Hospitals
24. Transforming Healthcare with Blockchain and Digital Twins: Innovations in
IoMT for Smart Hospitals
25. Enhancing Hospital Operations Efficiency through Digital Twin Technology
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.
