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.
Author(s): Sunil Gupta, Hitesh Kumar Sharma, Monit Kapoor
Publisher: Springer
Year: 2022
Language: English
Pages: 207
City: Cham
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
