Digitization of Healthcare Data using Blockchain

Description

DIGITIZATION OF HEALTHCARE DATA USING BLOCKCHAIN 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. 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. Audience Researchers in information technology, artificial intelligence, electronics engineering, medical informatics, as well as policymakers and healthcare providers and management systems. Cover Half-Title Page Series Page Title Page Copyright Page Contents Preface 1 Evolution of Blockchain Technologies and its Fundamental Characteristics 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 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 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 A Consensus on Dedication 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 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 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 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 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 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 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 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 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 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 Also of Interest EULA