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Blockchain Applications for Healthcare Informatics
Beyond 5G
- 1st Edition - May 20, 2022
- Editor: Sudeep Tanwar
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 0 6 1 5 - 9
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 0 8 2 9 - 0
Blockchain Applications for Healthcare Informatics: Beyond 5G offers a comprehensive survey of 5G-enabled technology in healthcare applications. This book investigates the latest… Read more
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Request a sales quoteBlockchain Applications for Healthcare Informatics: Beyond 5G offers a comprehensive survey of 5G-enabled technology in healthcare applications. This book investigates the latest research in blockchain technologies and seeks to answer some of the practical and methodological questions surrounding privacy and security in healthcare. It explores the most promising aspects of 5G for healthcare industries, including how hospitals and healthcare systems can do better. Chapters investigate the detailed framework needed to maintain security and privacy in 5G healthcare services using blockchain technologies, along with case studies that look at various performance evaluation metrics, such as privacy preservation, scalability and healthcare legislation.
- Introduces the basic architecture and taxonomy of 5G-enabled blockchain technology
- Analyzes issues and challenges surrounding 5G-enabled blockchain-based systems in healthcare
- Investigates blockchain-based healthcare applications such as telemedicine, telesurgery, remote patient monitoring, networking of the Internet of Medical Things, and augmented and virtual realty tools for training in complex medical scenarios
- Includes case studies and real-world examples in each chapter to demonstrate the adoption of 5G-enabled blockchain technology across various healthcare domains
Researchers, professionals, and graduate students in computer science & engineering, bioinformatics, and electrical engineering
- Cover
- Title page
- Table of Contents
- Copyright
- Contributors
- 1: Blockchain-based transaction validation for patient interoperability in Healthcare 4.0
- Abstract
- 1: Introduction
- 2: Intricacies of blockchain
- 3: Healthcare 4.0
- 4: How a blockchain EHR system would work
- 5: Blockchain-assisted secured transaction validation for patient interoperability
- 6: Flexible smart contract for enhanced interoperability
- 7: Open issues and challenges
- 8: Conclusion
- References
- 2: NFC-enabled packaging to detect tampering and prevent counterfeiting: Enabling a complete supply chain using blockchain and CPS
- Abstract
- Acknowledgments
- 1: Introduction
- 2: Literature survey
- 3: Methodologies and structural design
- 4: Application development
- 5: Recommendations
- 6: Novelties in the work
- 7: Future research directions and limitations
- 8: Case studies
- 9: Concluding remarks
- References
- 3: Optimized segmentation of white patches in skin lesion images
- Abstract
- 1: Introduction
- 2: Proposed methodology
- 3: Results and discussion
- 4: Conclusion
- References
- 4: Blockchain applications for the healthcare sector: Uses beyond Bitcoin
- Abstract
- 1: Introduction
- 2: Implementations of blockchain in healthcare
- 3: Motivations for using the blockchain-based EHR system
- 4: Proposed patient-centered blockchain model
- 5: Applications of blockchain technology to combat COVID-19
- 6: Conclusion
- References
- 5: Artificial intelligence and blockchain: Implementation perspectives for healthcare beyond 5G
- Abstract
- 1: Introduction
- 2: Literature survey
- 3: Application domains
- 4: Implementation perspectives
- 5: Blockchain beyond 5G for healthcare
- 6: Benefits and challenges of AI and blockchain convergence
- 7: Case study based on a recent scenario
- 8: Conclusion
- References
- 6: Combining blockchain and machine learning in healthcare and health informatics: An exploratory study
- Abstract
- 1: Introduction
- 2: Literature survey
- 3: Overview of blockchain technology
- 4: Proposed work
- 5: Conclusion
- References
- 7: IoT and blockchain technology in 5G smart healthcare
- Abstract
- 1: Introduction
- 2: Architecture of 5G network for smart healthcare solutions
- 3: Classifications of 5G smart healthcare
- 4: Research on smart healthcare and 5G
- 5: Issues and challenges of 5G
- 6: Blockchain use in smart healthcare
- 7: Conclusion
- References
- 8: Smart healthcare using blockchain technologies: The importance, applications, and challenges
- Abstract
- 1: Introduction
- 2: Literature review
- 3: Blockchain and 5G technology
- 4: Applications of 5G-enabled blockchain in healthcare informatics
- 5: Challenges for blockchain in healthcare
- 6: Case study
- 7: Comparative study of existing blockchain-based EHR systems
- 8: Conclusion
- References
- 9: Device-to-device and millimeter waves communication for 5G healthcare informatics
- Abstract
- 1: Introduction
- 2: Healthcare informatics requirements
- 3: D2D communications for 5G healthcare informatics
- 4: Millimeter waves for 5G healthcare informatics
- 5: Leveraging mmWaves and D2D in healthcare
- 6: Conclusion
- References
- 10: Blockchain-based privacy approaches for 5G healthcare informatics
- Abstract
- 1: Introduction to blockchain-based smart healthcare systems
- 2: Transformative ecosystem: 5G
- 3: Blockchain-based healthcare informatics with 5G support
- 4: Applications that use 5G technology in healthcare systems
- 5: Data privacy approaches in healthcare and open research areas in the domain
- 6: Case study—Telemedicine: A blockchain-based smart healthcare system
- 7: Conclusion
- References
- 11: Security- and privacy-preserving ML/DL paradigms for 5G communication technology in smart healthcare
- Abstract
- 1: Introduction
- 2: Smart healthcare
- 3: Machine learning in healthcare
- 4: Deep learning in healthcare
- 5: Clinical workflow using ML/DL
- 6: Security, privacy, and federated learning in healthcare
- 7: Conclusion
- References
- Further reading
- 12: BEST: Blockchain-Enabled Secure Technology in a healthcare management system
- Abstract
- 1: Introduction
- 2: Literature review
- 3: Characteristics of blockchain technology
- 4: Security and privacy concerns in healthcare
- 5: Technological advantages of blockchain
- 6: The problem statement
- 7: The system architecture: Ethereum—Remix IDE
- 8: The proposed methodology
- 9: Conclusion
- References
- 13: Amalgamation of blockchain, IoT, and 5G to improve security and privacy of smart healthcare systems
- Abstract
- 1: Introduction
- 2: 5G-based smart healthcare technologies
- 3: Security and privacy issues in smart healthcare
- 4: Security concerns in healthcare data
- 5: Comparative analysis of healthcare data using IoT and blockchain
- 6: Open research challenges and future directions
- 7: Contextual investigation of the IBM blockchain healthcare drive
- 8: Conclusion
- References
- 14: Reliability of 5G in human health monitoring using blockchain technology
- Abstract
- 1: Introduction
- 2: Existing approach
- 3: Proposed system
- 4: Results
- 5: Conclusion
- References
- 15: The importance of 5G healthcare using blockchain technologies
- Abstract
- 1: Introduction
- 2: Background
- 3: Adoption of blockchain technology in 5G healthcare
- 4: Discussion
- 5: Research directions
- 6: Conclusions
- References
- 16: Security and privacy in cloud-/edge-/fog-based schemes
- Abstract
- 1: Introduction
- 2: Literature review
- 3: Security and privacy
- 4: Healthcare industry
- 5: Cloud to fog to IoT
- 6: Blockchain in smart healthcare using 5G
- 7: Analysis of Healthcare 4.0
- 8: Future work and challenges
- 9: Conclusions
- References
- 17: Interpolation-based reversible data hiding with blockchain for secure e-healthcare systems
- Abstract
- 1: Introduction
- 2: Background
- 3: Related works
- 4: Proposed work
- 5: Experimental results
- 6: Conclusion
- References
- 18: 5G-enabled deep learning-based framework for healthcare mining: State of the art and challenges
- Abstract
- 1: Introduction
- 2: Lack of consistency in healthcare data
- 3: Technological advancements in healthcare: Current state of the art
- 4: Role of 5G in healthcare
- 5: HPC 5G-enabled framework for healthcare mining
- 6: Handling healthcare big data
- 7: Deep learning and blockchain in healthcare
- 8: Deep learning models for disease prediction
- 9: Tools and libraries for deep learning applications
- 10: Issues and challenges
- 11: Future research direction
- 12: Maintaining security and privacy in healthcare informatics
- 13: Conclusions
- References
- 19: Criminal identification system using face detection with artificial intelligence
- Abstract
- 1: Introduction
- 2: Literature review
- 3: Proposed methodology
- 4: Results and discussion
- 5: Conclusion
- 6: Future work
- References
- 20: Analysis of supervised feature selection in bioinformatics
- Abstract
- 1: Introduction
- 2: Literature review
- 3: Methodology
- 4: Conclusion
- 5: Key findings
- References
- 21: COVID-19 identification and analysis using CT scan images: Deep transfer learning-based approach
- Abstract
- 1: Introduction
- 2: Related works
- 3: Proposed model
- 4: Experiments
- 5: Conclusions
- References
- 22: Blockchain for 5G-enabled networks in healthcare service based on several aspects
- Abstract
- 1: Introduction
- 2: Blockchain
- 3: Healthcare system
- 4: 5G in healthcare
- 5: 5G security with blockchain
- 6: Blockchain for healthcare records
- 7: Healthcare system and blockchain technology
- 8: Blockchain applications to ensure the privacy and security of EHR
- 9: Conclusion
- References
- Index
- No. of pages: 528
- Language: English
- Edition: 1
- Published: May 20, 2022
- Imprint: Academic Press
- Paperback ISBN: 9780323906159
- eBook ISBN: 9780323908290
ST
Sudeep Tanwar
Sudeep Tanwar is a full Professor at Nirma University, India, where he also leads the ST Research Laboratory. He is a Visiting Professor with Jan Wyzykowski University, Poland and the University of Pitesti, Romania. He has edited 20 books and authored 4 books and more than 300 technical articles, for national and international peer-reviewed journals and conferences. He initiated the research field of blockchain technology adoption in various verticals in 2017. His research interests include blockchain technology, wireless sensor networks, fog computing, smart grid, and the IoT. He is a member of the Technical Committee on Tactile Internet of IEEE Communication Society. He has been awarded Best Research Paper Awards from IEEE IWCMC-2021, IEEE ICCCA-2021, IEEE GLOBECOM 2018, IEEE ICC 2019, and Springer ICRIC-2019. He has won Dr KW Wong Annual Best Paper Prize (with 750 USD) for 2021 sponsored by Elsevier (publishers of JISA).
Affiliations and expertise
Professor, Computer Science and Engineering Department, Institute of Technology, Nirma University, Ahmedabad, Gujarat, IndiaRead Blockchain Applications for Healthcare Informatics on ScienceDirect