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Healthcare has become an extremely important and relevant topic in day to day discussions ever since the COVID-19 pandemic has been encountered by the global population. This has led to a renewed focus and attention that researchers from every discipline have put in to realize better strategies for healthcare management in general. This book is an attempt to put to use recent advancements in the field of the Internet of Medical Things often called IoMT, which is an extension of IoT for real-time, data analytics-driven prompt and quality healthcare to global citizens. Security has been always a challenge with pervasive technologies like IoMT and IoT, and thus usage of disruptive technology like blockchain to offset the security concerns that surround the data and network management. Therefore, this book is an honest attempt to provide directions to applied areas of research in IoMT for healthcare with the aid and help of Blockchain Technologies.

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

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) 

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

Conclusion

References