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Digitization of Healthcare Data using Blockchain

Edited by T. Poongodi, D. Sumathi, B. Balamurugan and K. S. Savita
Series: Next-Generation Computing and Communication Engineering
Copyright: 2022   |   Status: Published
ISBN: 9781119791850  |  Hardcover  |  
304 pages | 67 67 illustrations
Price: $195 USD
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One Line Description
The book gives a detailed description of the integration of blockchain technology for Electronic Health Records and provides the research challenges to consider in various disciplines such as supply chain, drug discovery, and data management.

Audience
Researchers in information technology, artificial intelligence, electronics engineering, medical informatics, as well as policymakers and healthcare providers and management systems.

Description
The aim of the book is to investigate the concepts of blockchain technology and its association with the recent development and advancements in the medical field. Moreover, it focuses on the integration of workflow strategies like NLP, and AI which could be adopted for boosting the clinical documentation and electronic healthcare records (EHR) usage by bringing down the physician EHR data entry. Also, the book covers the usage of smart contracts for securing patient records. Digitization of Healthcare Data Using Blockchain presents the practical implementations that deal with developing a web framework for building highly usable healthcare applications, a simple blockchain-powered EHR system.

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Author / Editor Details
T. Poongodi, PhD, is an associate professor in the Department of Computer Science and Engineering at Galgotias University, Delhi – NCR, India. She has more than 15 years of experience working in teaching and research.

D. Sumathi, PhD, is an associate professor at VIT-AP University, Andhra Pradesh. She has an overall experience of 21 years out of which six years in industry, 15 years in the teaching field. Her research interests include cloud computing, network security, data mining, natural language processing, and theoretical foundations of computer science.

Balamurugan Balusamy, PhD, is a professor in the School of Computing vcontributions focus on engineering education, blockchain, and data sciences. He has published more than 30 books on various technologies and more than 150 research articles in SCI journals, conferences, and book chapters.

K.S. Savita, PhD, is on the academic staff in the Department of Computer and Information Sciences (CISD), Universiti Teknologi PETRONAS (UTP), Malaysia since 2006. She is accredited by the Malaysia Board of Technologies as Professional Technologist (Ts.) in Information and Computing Technology.

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Table of Contents
Preface
1. Evolution of Blockchain Technologies and its Fundamental Characteristics Aradhna Saini, R. Gopal, S. Suganthi and T. Poongodi
1.1 An Overview of Blockchain Technology
1.1.1 Evolution of Blockchain Technology
1.1.2 Significant Characteristics of Blockchain Technology
1.2 Blockchain Architecture and Its Components
1.3 Comparative Analysis of Blockchain Categories
1.3.1 Permissionless or Public Blockchain
1.3.2 Permissioned or Private Blockchain
1.3.3 Consortium Blockchain
1.3.4 Hybrid Blockchain
1.4 Blockchain Uses Cases in Healthcare
1.5 Research Opportunities and Challenges of Blockchain Technology in Healthcare
1.6 Conclusion
References
2. Geospatial Blockchain: Promises, Challenges, and Scenarios in Healthcare
Janarthanan S., S. Vijayalakshmi, Savita and T. Ganesh Kumar
2.1 Introduction
2.1.1 Basics of Blockchain
2.1.2 Promises and Challenges in Blockchain
2.1.3 Comparative Study
2.2 Geospatial Blockchain Analysis Based on Healthcare Industry
2.2.1 Remote Monitoring and Geospatial Healthcare System
2.3 Smart Internet of Things Devices and Systems
2.3.1 Main Challenges and Importance in Smart Convention
2.3.2 Recent Innovations in Healthcare
2.4 Implementation Strategies and Methodologies
2.4.1 Promises and Challenges in Implementation
2.5 Information Security and Privacy Protection in Geospatial Blockchain Healthcare Systems
2.5.1 Security and Privacy Protection Framework
2.5.2 Data Access Control System
2.6 Challenges in Present and Past and Future Directions
2.6.1 Present Challenges in Healthcare
2.6.2 Past Challenges in Healthcare
2.6.3 Future Challenges in Healthcare
2.7 Conclusion
References
3. Architectural Framework of Blockchain Technology in Healthcare
Kiran Singh, Nilanjana Pradhan and Shrddha Sagar
3.1 Introduction
3.2 Healthcare
3.2.1 Electronic Healthcare
3.2.2 Smart Healthcare
3.3 Blockchain Technology
3.4 Architecture of Smart Healthcare
3.5 Blockchain in Electronic Healthcare
3.6 Architecture for Blockchain
3.7 Distributed System
3.8 Security and Privacy
3.9 Applications of Healthcare Management in Blockchain
3.9.1 The Use of the Blockchain for EMR Data Storage
3.9.2 Blockchains and Data Security are Related
3.9.3 Blockchain for Personal Health Information
3.9.4 Blockchain is a Strong Technology at the Point of Treatment Genomic Analytics
3.10 Applications of IoT in Blockchain
3.11 Challenges
3.12 Conclusion
References
4. Smart Contract and Distributed Ledger for Healthcare Informatics Yogesh Sharma and B. Balamurugan
4.1 Introduction
4.1.1 History of Healthcare Informatics
4.2 Introduction of Blockchain Technology
4.2.1 A Blockchain Process
4.3 Types of Blockchains
4.3.1 Public Blockchain
4.3.2 Private Blockchain
4.3.3 Consortium Blockchain
4.4 Blockchain in Healthcare
4.5 Distributed Ledger Technology
4.6 Evolution of Distributed Ledger Technology
4.7 Smart Contract
4.7.1 Limitations of Smart Contract
4.7.2 Smart Contract in Healthcare Informatics
4.8 Distributed Ledger in Healthcare Informatics as Blockchain
4.9 Distributed Ledger Technology in Healthcare Payments
4.10 Conclusion
References
5. Consensus Algorithm for Healthcare Using Blockchain
Faizan Salim, John A., Rajesh E. and A. Suresh Kumar
5.1 Introduction
5.2 Types of Blockchain
5.3 Blockchain Database
5.4 Consensus Algorithm
5.5 Healthcare System
5.5.1 Healthcare and Blockchain
5.5.2 Benefits of Blockchain in Healthcare
5.6 Algorithms
5.6.1 Smart Contract
5.6.2 Algorithm for Fault Tolerance Using Blockchain
5.6.3 Practical Byzantine Fault Tolerance Algorithm
5.6.4 Algorithm for Distributed Healthcare Using Blockchain
5.7 Security for Healthcare System Using Blockchain
5.7.1 Framework for Security Using Blockchain
5.8 Issues and Challenges in Healthcare Using Blockchain
5.9 Future Scope
5.10 Conclusion
References
6. Industry 4.0 and Smart Healthcare: An Application Perspective
R. Saminathan, S. Saravanan and P. Anbalagan
6.1 Introduction
6.2 Evolution of Industry 4.0
6.3 Vision and Challenges of Industry 4.0
6.4 Technologies Used in Fourth Industrial Revolution
6.5 Blockchain in Industry 4.0
6.6 Smart Healthcare Design Using Healthcare 4.0 Processes
6.7 Blockchain Tele-Surgery Framework for Healthcare 4.0
6.8 Digital Twin Technology in Healthcare Industry
6.9 Conclusion
References
7. Blockchain Powered EHR in Pharmaceutical Industry
Piyush Sexena, Prashant Singh, John A. and Rajesh E.
7.1 Introduction
7.2 Traditional Healthcare System vs Blockchain EHR
7.3 Working of Blockchain in EHR
7.4 System Design and Architecture of EHR
7.5 Blockchain Methodologies for EHR
7.6 Benefits of Using Blockchain in EHR
7.7 Challenges Faced by Blockchain in HER
7.8 Future Scope
7.9 Conclusion
References
8. Convergence of IoT and Blockchain in Healthcare
Swaroop S. Sonone, Kapil Parihar, Mahipal Singh Sankhla, Rajeev Kumar and Rohit Kumar Verma
8.1 Introduction
8.2 Overview of Convergence
8.3 Healthcare
8.4 IoTs and Blockchain Technology
8.5 IoT Technologies for Healthcare
8.6 Blockchain in Healthcare
8.7 Integration for Next-Generation Healthcare
8.8 Basic Structure of Convergence
8.9 Challenges
8.10 Conclusion
References
9. Disease Prediction Using Machine Learning for Healthcare
S. Vijayalakshmi and Ashutosh Upadhyay
9.1 Introduction to Disease Prediction
9.1.1 Artificial Intelligence in Healthcare
9.1.2 Data Collection and Information Processing
9.1.3 Human Living Standard and Possible Diseases
9.1.4 Importance of Data in Disease Prediction
9.2 Data Analytics for Disease Prediction
9.3 Segmentation and Features of Medical Images
9.4 Prediction Model for Healthcare
9.5 Introduction to ML
9.5.1 K-Nearest Neighbor, Artificial Neural Network, CNN, Decision Tree, and Random Forest
9.6 Prediction Model Study of Different Disease
9.7 Decision Support System
9.8 Preventive Measures Based on Predicted Results
9.9 Conclusions and Future Scope
References
10. Managing Healthcare Data Using Machine Learning and Blockchain Technology
BKSP Kumar Raju Alluri
10.1 Introduction
10.2 Current Situation of Healthcare
10.3 Introduction to Blockchain for Healthcare
10.4 Introduction to ML for Healthcare
10.4.1 Open Issues in Machine Learning for Healthcare
10.5 Using ML and Blockchain for Healthcare Management
10.5.1 Bucket 1: Theory Centric
10.5.2 Bucket 2: Result Oriented
10.5.3 Outcomes of the Study
10.5.4 Why are Most of the Current Blockchain + Healthcare Papers Theory-Based?
10.6 Conclusion
References
11. Advancement of Deep Learning and Blockchain Technology in Health Informatics
Anubhav Singh, Mahipal Singh Sankhla, Kapil Parihar and Rajeev Kumar
11.1 Introduction
11.2 Associated Works
11.2.1 Preliminaries
11.3 Internet of Things
11.4 Big Data
11.5 Deep Learning
11.5.1 Common Deep Learners
11.5.1.1 Convolutional Neural Network
11.5.1.2 Recurrent Neural Networks
11.5.1.3 Deep Autoencoders
11.5.1.4 Deep Boltzmann Machine
11.6 Restricted Boltzmann Machine
11.7 Profound Conviction Organization
11.8 Application and Challenges of Deep Learners
11.8.1 Predictive Healthcare
11.8.2 Medical Decision Support
11.8.3 Personalized Treatments
11.8.4 Difficulties
11.8.5 Blockchain Technology
11.8.6 Types of Blockchain
11.8.7 Challenges of Blockchain in Healthcare
11.8.8 Interoperability
11.8.9 Management, Privacy, and Anonymity of Data
11.8.10 Quality of Service
11.8.11 Heterogeneous Gadgets and Traffic
11.8.12 Inertness
11.8.13 Asset Imperatives and Energy Proficiency
11.8.14 Storage Capacity and Scalability
11.8.15 Security
11.8.16 Data Mining
11.8.17 System Model
11.8.18 Attack Model
11.9 Open Research Issues
11.10 Conclusion
References
12. Research Challenges and Future Directions in Applying Blockchain Technology in the Healthcare Domain
Sneha Chakraverty and Sakshi Bansal
12.1 Introduction
12.2 Healthcare
12.2.1 Stakeholders of Indian Healthcare Ecosystem
12.2.2 Major Data Related Challenges in Indian Healthcare System
12.3 Need of Blockchain in Healthcare Domain
12.4 Application of Blockchain in Healthcare Domain
12.5 Methodology
12.5.1 Review of Literature
12.5.2 Interviews
12.6 Challenges
12.6.1 How to Overcome This Problem
12.7 Future Directions
12.8 Conclusion
References
Appendix Appendix 12.1
Interview Form
Appendix 12.2: Response 1
Interview Form
Appendix 12.3: Response 2
Interview Form
Appendix 12.4: Response 3
Interview Form
Appendix 12.5: Response 4
Interview Form
Index

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