Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT)

Foreword
Preface
Acknowledgement
Contents
Abbreviations
Chapter 1: Introduction to Smart Healthcare and Telemedicine Systems
	1.1 Introduction
	1.2 Smart Healthcare and Telemedical System
		1.2.1 Smart Healthcare Technology
		1.2.2 Remote Monitoring and Automated Healthcare System
		1.2.3 Remote Care and Telehealth
		1.2.4 Emergency Response Solution for Connectivity
		1.2.5 Smart Hospital Management
	1.3 Telemedical Healthcare
		1.3.1 Registration Phase
		1.3.2 Login Phase and Mutual Authentication
		1.3.3 Telemedicine Server
	1.4 Intelligent Medical Care Using IoT
	1.5 Smart Healthcare: Challenges and Threats
	1.6 Conclusion
	References
Chapter 2: Introduction to Internet of Medical Things (IoMT) and Its Application in Smart Healthcare System
	2.1 Introduction
	2.2 IoT Related Sub-components
		2.2.1 Embedded Programming
		2.2.2 Hardware Device
		2.2.3 Security
		2.2.4 Networking and Cloud Integration
		2.2.5 Data Analytics and Prediction
		2.2.6 Machine Learning and AI
	2.3 Architecture of IoT
		2.3.1 Sensors and Actuators
		2.3.2 Internet Gateway
		2.3.3 Edge Computing IT System
		2.3.4 Data Centre and Cloud
		2.3.5 Application of IoT
		2.3.6 Smart Homes
		2.3.7 Smart Agriculture
		2.3.8 Energy Management
		2.3.9 Industrial Internet
	2.4 IoT in Healthcare
		2.4.1 Remote Patient Monitoring
		2.4.2 Real Time Data Tracking
		2.4.3 Connected Wearables
	2.5 Internet of Medical Things (IoMT or IoMedT)
	2.6 Challenges for IoMT
	2.7 Conclusion
	References
Chapter 3: Internet of Medical Things (IoMedT) vs Internet of Things (IoT)
	3.1 Introduction
	3.2 IoT Components
		3.2.1 Devices/Sensors
		3.2.2 Connectivity
		3.2.3 Data Processing
		3.2.4 User Interface
	3.3 IoMedT Components
		3.3.1 Patient and Payer
		3.3.2 Connected Medical Devices
		3.3.3 Communication Services (Connectivity)
		3.3.4 Analytics Platform (Data Processing)
		3.3.5 Service Providers
	3.4 Integration of Latest Technology with IoMedT
	3.5 Benefits and Challenges of IoMedT
		3.5.1 Benefits of IoMedT
		3.5.2 Challenges in IoMedT
	3.6 Conclusion
	References
Chapter 4: Application and Challenges of Blockchain in IoMT in Smart Healthcare System
	4.1 Introduction to Smart Healthcare and IoMT
	4.2 Perception Layer: Sensor Systems for Data Collection
		4.2.1 Gateway Layer
		4.2.2 Management Service Layer/Application Support Layer-Data Storage
		4.2.3 Application/Service Layer
	4.3 IoMT: A Boon in Healthcare
	4.4 Challenges of IoMT
	4.5 Benefits of IoMT
	4.6 Structural Components of IoMT
	4.7 Functional Components of IoMT
	4.8 Structural and Functional Challenges
	4.9 Conclusion
	References
Chapter 5: Introduction to Blockchain and Its Application in Smart Healthcare System
	5.1 Introduction
	5.2 Working of Blockchain
		5.2.1 Distributed Database
		5.2.2 A Network of Nodes
		5.2.3 Building Trust
	5.3 Benefits of Blockchain Technology
		5.3.1 Time-Saving
		5.3.2 Cost-Saving
		5.3.3 Tighter Security
	5.4 Application of Blockchain
		5.4.1 Asset Management
		5.4.2 Cross-Border Payments
		5.4.3 Healthcare
		5.4.4 Cryptocurrency
		5.4.5 Birth and Death Certificates
		5.4.6 Online Identity Verification
		5.4.7 Internet of Things
		5.4.8 Copyright and Royalties
	5.5 Application of Blockchain in Smart Healthcare
		5.5.1 Research
		5.5.2 Seamless Switching of Patients Between Providers
		5.5.3 Faster, Cheaper, Better Patient Care
		5.5.4 Interoperable Electronic Health Records
		5.5.5 Data Security
		5.5.6 Mobile Health Apps and Remote Monitoring
		5.5.7 Tracing and Securing Medical Supplies
		5.5.8 Health Insurance Claims
		5.5.9 Tracking Diseases and Outbreaks
		5.5.10 Safeguarding Genomics
	5.6 Conclusion
	References
Chapter 6: Digital Medical Records (DMR) Security and Privacy Challenges in Smart Healthcare System
	6.1 Introduction
	6.2 Possible Security Attacks in DMR Internet of Things Networks
	6.3 Security Schemes and There Challenges in DMR
	6.4 Conclusion
	References
Chapter 7: Integration of IoMT and Blockchain in Smart Healthcare System
	7.1 Introduction
	7.2 Benefits of IoMT in Smart Healthcare
		7.2.1 Cost Reduction
		7.2.2 Improve Treatment
		7.2.3 Faster Disease Diagnosis
		7.2.4 Drug and Equipment Management
		7.2.5 Error Reduction
	7.3 Tools and Technique for IoMT in Smart Healthcare
		7.3.1 Electronic Health Record (EHR)
		7.3.2 Referral Trackers
		7.3.3 Patient Portals
		7.3.4 Remote Patient Monitoring
		7.3.5 Computerized Provider Order Entry
	7.4 Use Case of IoMT in Healthcare Industry
		7.4.1 Internet of Things for Patients
		7.4.2 Internet of Things for Hospitals
		7.4.3 Internet of Things for Physicians
		7.4.4 Internet of Things for Business
		7.4.5 Internet of Things for Health Insurance Companies
	7.5 Privacy and Security Issue in IoMT
		7.5.1 Patients Are Not in Charge of Their Own Information
		7.5.2 Present to Your Own Device (BYOD)
		7.5.3 Telecommuting Presents Security Chances
	7.6 Challenges of IoMT in Smart Healthcare
		7.6.1 Underdeveloped Initiatives
		7.6.2 Unavailability of Memory
		7.6.3 Keeping Updated
		7.6.4 Data Security
		7.6.5 Global Healthcare Regulations
		7.6.6 Scalable Platforms
		7.6.7 Data Overloading
	7.7 Impact of IoMT on the Future of the Healthcare Industry
	7.8 Conclusion
	References
Chapter 8: Integration of IoMT and Cloud Computing for DMR Collection and Storage
	8.1 Introduction
		8.1.1 Big Data Relation with Cloud Computing
		8.1.2 Relationship Between IoMT and Big Data
		8.1.3 Big Data and the Internet of Medical Things
		8.1.4 IoT and Cloud Computing
		8.1.5 Benefits of Using Big Data, IoT and the Cloud
	8.2 IoMT Needs to Be Integrated with Cloud Computing
	8.3 Integration of IoT and Cloud Computing
	8.4 Benefits of Integrating IoT and Cloud Computing
	8.5 Conclusion
	References
Chapter 9: Methodologies for Improving the Quality of Service and Safety of Smart Healthcare System
	9.1 Introduction
		9.1.1 IoT in Smart Healthcare Systems
	9.2 Background/Present State in Data Security
		9.2.1 Data Security Requirements in Smart Healthcare Systems
	9.3 Privacy and QoS in Smart Healthcare
	9.4 Data Security and Privacy Issues in Healthcare
	9.5 QoS Parameters for Smart Healthcare
	9.6 Suggested Security Techniques to Preserve QoS
	9.7 Conclusion
	References
Chapter 10: Authentication Methods for Internet of Medical Things
	10.1 Introduction
	10.2 Authentication Schemes for Tele Medical Healthcare System
	10.3 Processes of an Authentication Protocol
	10.4 Conclusion
	References
Chapter 11: Blockchain-Based EHR Storage and Access Control System
	11.1 Introduction
		11.1.1 Security
		11.1.2 Features
	11.2 Types of Blockchain Networks
		11.2.1 Public Blockchain Network
		11.2.2 Private Blockchain Network
		11.2.3 Permissioned Blockchain Network
		11.2.4 Consortium Blockchain Networks
	11.3 Applications of Blockchain
		11.3.1 Smart Contracts
		11.3.2 Involving Blockchain into Internet of Things (IOT)
		11.3.3 Preventing Identity Theft
	11.4 Application of Blockchain in Smart Healthcare
		11.4.1 Keeping Transparency in Delivering Healthcare Goods
		11.4.2 Storing of Medical Data of Patients
		11.4.3 Remote Health Monitoring Using IOT and Blockchain
	11.5 Electronic Health Record (EHR) and Its Storage
		11.5.1 Medical Big Data Mining and Processing in e-Healthcare
		11.5.2 Smart Healthcare Systems Using Big Data
	11.6 Significance of Blockchain in Security of Electronic Health Record (EHR)
	11.7 Conclusion
	References
Chapter 12: Emerging and Digital Technology in Telemedicine System
	12.1 Introduction
		12.1.1 A Different Healthcare World
	12.2 Components of Telemedicine
		12.2.1 Teleconsultation
		12.2.2 Telementoring
		12.2.3 Telemonitoring
	12.3 Emerging Technologies in Telemedicine
		12.3.1 Technologies Proceeding Telemedicine
		12.3.2 mRNA Technology
		12.3.3 Neurotechnology
		12.3.4 Precision Medicine
		12.3.5 Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)
		12.3.6 Health Wearables
		12.3.7 Technology in Mental Health
		12.3.8 Artificial Intelligence
		12.3.9 Augmented and Virtual Reality
		12.3.10 Tele-robots
		12.3.11 IoT and Nanotechnology
		12.3.12 3D Printing
		12.3.13 Enhanced Access to Medical Data and Information
		12.3.14 Big Data
		12.3.15 Improved Lines of Communication
		12.3.16 Electronic Health Records
		12.3.17 Metaverse
	12.4 Conclusion
	References
Chapter 13: Artificial Intelligence -Based Cloud Storage for Accessing and Predication
	13.1 Introduction
		13.1.1 AI and Machine Learning
		13.1.2 Cloud Computing
		13.1.3 Cyber Security/Cloud Security
	13.2 Role of Artificial Intelligence, Cloud Computing, and Internet Security in Smart Healthcare
		13.2.1 Artificial Intelligence and Machine Learning (AIML) in Healthcare Systems
		13.2.2 Early Cancer Diagnosis
		13.2.3 Diagnosis of Fatal Blood Diseases
		13.2.4 Customer Service Chatbots
		13.2.5 Managing the Medical Records
		13.2.6 Dosage Errors
		13.2.7 Robotic Surgeries
	13.3 Cloud Computing in Healthcare Systems
	13.4 Security Challenge in Smart Healthcare
	13.5 Conclusion
	References
Chapter 14: Machine Learning for predictive analytics in Smart health and Virtual care
	14.1 Introduction
		14.1.1 Capturing Storage Techniques for Healthcare Data
		14.1.2 About Healthcare Data
		14.1.3 Data Storage
		14.1.4 Onsite Data Storage
		14.1.5 Public Cloud Data Storage
		14.1.6 Hybrid Cloud Data Storage Solution
		14.1.7 Benefits of Storing Data on the Cloud from Multiple Sources
	14.2 ML-Enabled Storage Systems
	14.3 The Current State of Technology
	14.4 Enhancing Existing Enterprise Data Warehouses (EDW)
	14.5 Background Work
	14.6 ML Techniques for Treatment of Healthcare Data
	14.7 Smart Access Techniques for Storage Systems
	14.8 Prediction of Diseases on Healthcare Data, Both Batch, and Real-Time Data Streams
	14.9 Conclusion
	References
Chapter 15: Smart Healthcare and Telemedicine Systems: Present and Future Applications
	15.1 Introduction
	15.2 Smart Healthcare Tools and Techniques
		15.2.1 Cloud Computing in Smart Healthcare
		15.2.2 Medical Records Centralization
		15.2.3 Promoting Patient Engagement
		15.2.4 Better Scalability
		15.2.5 Cost-Effectiveness
		15.2.6 Advanced Analytics for Healthcare
	15.3 Current and Future Application of AI, IoT, Blockchain and Cloud Computing in Smart Healthcare
		15.3.1 Applications of Artificial Intelligence in Smart Healthcare
		15.3.2 Machine Learning Neural Networks and Deep Learning
		15.3.3 Physical Robots
		15.3.4 Natural Language Processing (NLP)
		15.3.5 ​​ Applications of Internet of Things (IoT) in Smart Healthcare
		15.3.6 Applications of Blockchain in Smart Healthcare
		15.3.7 Applications of Cloud Computing in Smart Healthcare
	15.4 Challenges in Smart Healthcare
		15.4.1 Availability
		15.4.2 Data Centralization
		15.4.3 Privacy/Security
		15.4.4 Open Access
	15.5 Future of Smart Healthcare and Telemedicine
	15.6 Conclusion
	References