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 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 . 210 -- 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.