Blockchain and Digital Twin for Smart Healthcare
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. - 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
1146368170
Blockchain and Digital Twin for Smart Healthcare
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. - 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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Blockchain and Digital Twin for Smart Healthcare

Blockchain and Digital Twin for Smart Healthcare

by Tuan Anh Nguyen PhD (Editor)
Blockchain and Digital Twin for Smart Healthcare

Blockchain and Digital Twin for Smart Healthcare

by Tuan Anh Nguyen PhD (Editor)

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Overview

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. - 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

Product Details

ISBN-13: 9780443303012
Publisher: Elsevier Science
Publication date: 02/15/2025
Sold by: Barnes & Noble
Format: eBook
Pages: 550
File size: 26 MB
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About the Author

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.

Table of Contents

1. IoMT: Architecture, trends and challenges2. Introduction to Blockchain Technology: Applications in Healthcare Systems3. Internet of Health Things: An introduction4. Smart sensor networks based on edge technologies5. Blockchain and Cyber-physical Systems (CPSs) in the Smart Healthcare6. 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 Agenda7. Smart medical sensor network8. Medical Sensor Network and Machine Learning-Enabled Digital Twins for Diagnostic and Therapeutic Purposes9. IoMT-driven Smart Healthcare10. IoT for E-health11. Blockchain based system for healthcare digital twin12. Electronic Health Records in a Blockchain13. IoT healthcare systems14. Blockchain technology in clinical trials15. Blockchain Technology for Smart Wireless Sensor Networks16. Digital Twin for Smart Wireless Sensor Networks17. Smart sensors for IoT-based smart health monitoring18. Smartphone-based devices for healthcare monitoring and management19. Lab-on-chip devices for healthcare20. Sustainable Wireless Sensor Networks Model via Shrewd Neural Network21. DNA computing for the smart wireless sensor networks22. Blockchain for management of healthcare data23. Blockchain technology for secure digital twin data management24. Blockchain technology for security and privacy in the healthcare25. IoT in the healthcare sector: a comprehensive vision between academia and industry26. IoMT Ecosystem: Regulations, Challenges of Standards, Security Mechanisms and Future Perspectives
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