Convergence of Blockchain and Internet of Things in Healthcare

Arun Kumar Rana, Vishnu Sharma, Ajay Rana, Maksud Alam, Suman Lata Tripathi

• Publisher: CRC Press
• Year: 2024
• Print ISBN: 9781032576619
• eBook ISBN: 9781040011362
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Computer Engineering
• Index: Technology & Engineering

The Internet of Things (IoT) and blockchain are two new technologies that combine elements in many ways. A system where the virtual and physical worlds interact is created by integrating pervasive computing, ubiquitous computing, communication technologies, sensing technologies, Internet Protocol, and embedded devices. A massive number of linked devices and vast amounts of data present new prospects for developing services that can directly benefit the economy, environment, society, and individual residents. Due to the size of IoT and insufficient data security, security breaches may have a huge impact and negative effects. IoT not only connects gadgets but also people and other entities, leaving every IoT component open to a wide variety of assaults. The implementation and application of IoT and blockchain technology in actual scientific, biomedical, and data applications are covered in this book. The book highlights important advancements in health science research and development by applying the distinctive capabilities inherent to distributed ledger systems. Each chapter describes the current uses of blockchain in real-world data collection, medicine development, device tracking, and more meaningful patient interaction. All of these are used to create opportunities for expanding health science research. This paradigm change is studied from the perspectives of pharmaceutical executives, biotechnology entrepreneurs, regulatory bodies, ethical review boards, and blockchain developers.

Key Features:

• Provides a foundation for the implementation process of blockchain and IoT devices based on healthcare-related technology
• Image processing and IoT device researchers can correlate their work with other requirements of advanced technology in the healthcare domain
• Conveys the latest technology, including artificial intelligence and machine learning, in healthcare-related technology
• Useful for the researcher to explore new things like security, cryptography, and privacy in healthcare related technology
• Tailored for people who want to start in healthcare-related technology with blockchain and IoT

This book is primarily for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and biomedical engineering.

Table of contents

• Cover
• Half-Title
• Series
• Title
• Copyright
• Contents
• About the Editors
• List of Contributors
• 1 Lung Disease Diagnosis Using Machine Learning from a Bibliometric Perspective
• 2 Industry 4.0 in Manufacturing, Communication, Transportation, and Healthcare
• 3 Role and Impact of Blockchain–IoT-Enabled Supply Chain Management Model for Medical Supply
• 4 The Internet of Things in Healthcare: A Remote Patient Monitoring System
• 5 Revolutionizing Industry 4.0 with Blockchain Technology: Opportunities and Challenges
• 6 Prediction of Breast Cancer Using Machine Learning Techniques for Health Data
• 7 Design and Development of an IoT-Based Smart Medical Device
• 8 Revolutionary Finance: Impact of Blockchain and Distributed Ledger Technology on the Financial Industry
• 9 Barriers and Benefits of Blockchain Adoption in the Healthcare System
• 10 Deep Learning-Based Renal Biopsy Image Analysis for Diagnosing Diabetic Kidney Disease
• 11 Blockchain: Evolution and Future Scope
• 12 COVID-19 Detection and Pandemic Prevention System Using Data Science
• 13 Use of Machine Learning and IoT in Smart Farming: The Future of Agriculture
• 14 Comprehensive Analysis of Blockchain Frameworks and Their Usability in Various Applications
• 15 IoT and Healthcare: Development, Architecture, Security, and Its Applicability in Healthcare
• 16 Convergence of Blockchain and IoT in Healthcare: Opportunities and Challenges
• 17 From Remote Monitoring to Personalized Care: A Review of IoT-Based Patient Engagement Solutions in Healthcare
• 18 Fusion Strategies for Image Processing–Based Multimodal Biometric System
• Index