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. 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. Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare. It describes 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. The end goal is insight that provides faster, smarter decisions with more efficiency to improve care for the patient.
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1. IoMT: Architecture, trends and challenges 2. Introduction to Blockchain Technology: Applications in Healthcare Systems 3. Internet of Health Things: An introduction 4. Smart sensor networks based on edge technologies 5. Blockchain and Cyber-physical Systems (CPSs) in the Smart Healthcare 6. Investigating the Impact of the Internet of Medical Things (IoMT) on Healthcare: Analysing Perspectives from Healthcare Organisations, Healthcare Professionals, and Patients to Establish a Research Agenda 7. Smart medical sensor network 8. Medical Sensor Network and Machine Learning-Enabled Digital Twins for Diagnostic and Therapeutic Purposes 9. IoMT-driven Smart Healthcare 10. IoT for E-health 11. Blockchain based system for healthcare digital twin 12. Electronic Health Records in a Blockchain 13. IoT healthcare systems 14. Blockchain technology in clinical trials 15. Blockchain Technology for Smart Wireless Sensor Networks 16. Digital Twin for Smart Wireless Sensor Networks 17. Smart sensors for IoT-based smart health monitoring 18. Smartphone-based devices for healthcare monitoring and management 19. Lab-on-chip devices for healthcare 20. Sustainable Wireless Sensor Networks Model via Shrewd Neural Network 21. DNA computing for the smart wireless sensor networks 22. Blockchain for management of healthcare data 23. Blockchain technology for secure digital twin data management 24. Blockchain technology for security and privacy in the healthcare 25. IoT in the healthcare sector: a comprehensive vision between academia and industry 26. IoMT Ecosystem: Regulations, Challenges of Standards, Security Mechanisms and Future Perspectives
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Explores how blockchain and digital twins can work with data from the Internet of Medical Things to improve the functioning of the smart hospital
Provides the fundamentals of blockchain, digital twin and IoMT Presents a useful guide for readers on the new applications of blockchain, medical digital twin and IoMT Explores how blockchain and digital twin can be used in the IoMT , smart hospitals, and for future healthcare services
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Produktdetaljer

ISBN
9780443303005
Publisert
2025-03-25
Utgiver
Elsevier - Health Sciences Division
Vekt
1210 gr
Høyde
235 mm
Bredde
191 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
590

Redaktør

Biografisk notat

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.