Description
Explores the use of AI and blockchain to develop secure, efficient, and data-driven solutions in healthcare
Artificial intelligence (AI) and blockchain are redefining modern healthcare, addressing critical challenges in data security, patient management, and operational efficiency. Empowering Healthcare Through AI and Blockchain provides an in-depth examination of how these technologies can enhance diagnostics, streamline workflows, and ensure transparency in medical data management. With real-world case studies and expert insights, this book addresses the potential of AI-powered predictive analytics, personalized medicine, and blockchain-enabled patient data security.
Featuring contributions from leading experts in AI, blockchain, cybersecurity, and healthcare technology, Empowering Healthcare Through AI and Blockchain offers a structured approach to understanding technology-driven healthcare solutions such as remote patient monitoring, clinical trials, and healthcare interoperability. Throughout the book, actionable insights equip professionals with the knowledge to harness AI and blockchain for better patient outcomes, operational improvements, regulatory compliance, and more.
- Explores the transformative impact of AI and blockchain on healthcare efficiency, security, and patient outcomes
- Covers AI-driven advancements such as predictive analytics, AI-assisted diagnostics, and personalized medicine
- Addresses the ethical, legal, and regulatory challenges associated with AI and blockchain in healthcare
- Discusses complementary technologies such as IoT, big data analytics, and cloud computing
- Offers insights into future trends and technological advancements in healthcare over the next five years
Empowering Healthcare Through AI and Blockchain is an essential resource for healthcare professionals, IT specialists, data analysts, and policymakers seeking to leverage AI and blockchain in medical practice. It is an invaluable reference for professionals in healthcare technology, cybersecurity, health informatics, and medical research wanting to drive innovation in the field.
Table of Contents
List of Contributors xix
About the Editors xxiii
Preface xxv
Acknowledgments xxvii
1 Revolutionizing Healthcare: Smart Electronic Health Records in the Digital Age 1
Saumya Chaturvedi, Deeba Shamim Jairajpuri, and Raveena Yadav
1.1 Introduction 1
1.2 Background Concept of EHRs 2
1.3 The Evolution of EHRs 3
1.4 Modern EHRs and Intelligent Health Ecosystem 4
1.5 Components of the EHR 12
1.6 Technologies Involved in Electronic Health Records 15
1.7 EHR Systems and Challenges 17
1.8 Foundational Technologies Powering Current EHR Systems 22
1.9 Emerging and Future Paradigms Shaping EHR Innovation 24
1.10 Conclusion 29
2 Understanding Patient Trust and Cybersecurity in Healthcare 31
Sandeep Saxena, Arun Kumar Singh, and Lokendra Tiwari
2.1 Introduction 31
2.2 Cyberthreats and Their Impact on Patient Trust in Healthcare 33
2.3 Literature Survey 36
2.4 Core Principles of Patient Trust 40
2.5 Trust and Privacy-Preserving Mechanism in Modern Healthcare 42
2.6 Privacy-Preserving Techniques in Modern Healthcare 43
2.7 Conclusion 47
3 Artificial Intelligence in e-Healthcare 51
Mamta Narwaria, Ramneet Kaur, Deepshikha Patel, and Amrit Agrawal
3.1 Introduction 51
3.2 Features of AI in e-Health 56
3.3 Trustworthy and Responsible AI in e-Healthcare 58
3.4 Personalized Treatment Plans 70
3.5 Robotic Surgery 71
3.6 Opportunity, Challenges, and Considerations of AI in e-Health 71
3.7 Case Studies and Success Stories 73
3.8 Future Trends and Innovations 79
3.9 Conclusion and Future Directions 80
4 Blockchain in e-Healthcare 83
Renu Mishra, Vimal Kumar Dwivedi, Alex Norta, and Sushmita Mandal
4.1 Introduction 83
4.2 Blockchain as the Foundation of Next-Generation Healthcare Systems 84
4.3 Blockchain Models and Their Applications in Healthcare 87
4.4 Enhancing Patient Data Privacy and Access Control with Blockchain 93
4.5 Real-World Use Cases and Future Directions 98
4.6 Integration with IoT and AI for Smart Healthcare Ecosystems 103
4.7 Estonia's Blockchain-Powered eHealth System: A National Model for Secure and Interoperable Healthcare 104
4.8 Conclusion and Future Work 108
5 Integration of Artificial Intelligence and Blockchain 113
Nitima Malsa, Mridula Verma, Mayank Dixit, and Komal Malsa
5.1 Introduction 113
5.2 Decentralized AI Training and Blockchain 117
5.3 Case Studies 121
5.4 Future Trends in AI-Blockchain for Healthcare 128
5.5 Challenges in Integrating AI-Blockchain in Global Healthcare 130
5.6 Regulatory and Policy Implications of AI-Blockchain in Healthcare 132
5.7 Best Practices for Secure and Ethical AI-Blockchain Implementation 135
5.8 Conclusion 135
6 Internet of Medical Things (IoMT) and Telemedicine 141
Sahil Kumar Aggarwal, Meena Sachdeva, and Davinder Kumar
6.1 Introduction to the IoMT 141
6.2 Extracting Knowledge from Point-of-Care (POC) Machines 143
6.3 Lightweight Cryptography 146
6.4 Blockchain-Based Integrity Management in IoT Monitoring 151
6.5 Securing Medical IoT: Challenges and Solutions 156
6.6 Regulatory and Policy Implications for IoMT and Telemedicine 161
6.7 Future Trends in IoMT and Telemedicine 167
6.8 Challenges in Global Integration of IoMT and Telemedicine 170
6.9 Conclusion and Recommendations 174
7 Achieving Interoperability in Healthcare Organizations Through Enterprise Tools 179
Girdhar Mishra, Shami Khan, and Aleksandr Kormiltsõn
7.1 Introduction to Healthcare Interoperability 179
7.2 How Interoperability Supports Healthcare 181
7.3 Levels and Challenges in Establishing Interoperability 184
7.4 Different Ways to Achieve Interoperability in Healthcare 187
7.5 The Power of Modern and Smart APIs in Healthcare 190
7.6 REST in Healthcare Interoperability 193
7.7 API-Led Approach for Interoperability in MuleSoft 195
7.8 Regulatory and Policy Implications of Healthcare Interoperability 199
7.9 Future Trends in Healthcare Interoperability 201
7.10 Challenges in Global Integration of Healthcare Interoperability 204
7.11 Conclusion and Recommendations 206
8 Demystifying Big Data for Healthcare 217
Arti Ranjan, Inderpreet Kaur, and Vishnu Sharma
8.1 Introduction 217
8.2 Techniques, Methodologies, and Algorithms in Big Data 221
8.3 Big Data-Based Frameworks for Healthcare Systems 229
8.4 Predictive Analysis and Modeling in Healthcare Systems 230
8.5 The Development of Healthcare Decision Support Systems 235
8.6 Conclusion 241
8.7 Future Scope 242
References 242
Index 245
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- 和雑誌
- 製菓製パン （２０２６年３月号）
