Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT) / by Sunil Gupta, Hitesh Kumar Sharma, Monit Kapoor.

Format:

Book

Author/Creator:

Gupta, Sunil, Author.

Sharma, Hitesh Kumar, Author.

Kapoor, Monit, Author.

Contributor:

SpringerLink (Online service)

Language:

English

Subjects (All):

Blockchains (Databases).

Medical informatics.

Internet of things.

Blockchain.

Health Informatics.

Internet of Things.

Local Subjects:

Blockchain.

Health Informatics.

Internet of Things.

Physical Description:

1 online resource (XX, 197 pages) : 42 illustrations, 32 illustrations in color.

Edition:

1st edition 2023.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2023.

System Details:

text file PDF

Summary:

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.

Contents:

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

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

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

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

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

6.1. Introduction

6.2. Possible Security Attacks in DMR Internet of Things Networks

6.3. Security Schemes and There Challenges in DMR

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

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

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

10.1. Introduction

10.2. Authentication Schemes for Tele Medical Healthcare System

10.3. Processes of an authentication protocol

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

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

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

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.

Other Format:

Printed edition:

ISBN:

9783031188961