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.
Table of Contents
1. IoMT: Architecture, trends and challenges2. 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
