1. Chapter.- 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.- Conclusion.- References.- 2. Chapter.- 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.

- Conclusion.- References.- 3. Chapter.- 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.

- Conclusion.- References.- 4. Chapter .- 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 .

- Conclusion.- References.- 5. Chapter.- 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 .- Conclusion.- References.- 6. Chapter .

- 6.1. Introduction.- 6.2. Possible Security Attacks in DMR Internet of Things Networks.- 6.3.

Security Schemes and There Challenges in DMR.- Conclusion.- .- References.- 7. Chapter.- 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 .- Conclusion .

- References.- 8. Chapter .- 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 .- Conclusion .- References .- 9. Chapter .- 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.- Conclusion .- References .- 10. Chapter .- 10.1. Introduction.

- 10.2. Authentication Schemes for Tele Medical Healthcare System.- 10.3. Processes of an authentication protocol.- Conclusion .- References .

- 11. Chapter .- 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-Healthcar.- 11.5.2.

Smart healthcare systems using big data.- 11.6. Significance of Blockchain in Security of Electronic Health Record (EHR).- Conclusion.- References .- 12. Chapter .

- 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.- Conclusion .- References .- 13.

Chapter.- 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 182.- 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 .- Conclusion.- References .- 14.

Chapter .- 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 197.- Conclusion .- References .- 15.

Chapter .- 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.