Blockchain in Health Sciences

1. Auflage 2025
ISBN: 978-1-394-33601-2
Verlag: Wiley

Buch, Englisch, 496 Seiten

The book provides a comprehensive understanding of how blockchain technology can revolutionize healthcare by improving patient outcomes, enhancing data privacy, and driving innovative solutions to industry challenges.

Blockchain in Health Sciences is an essential roadmap for navigating the complex landscape of blockchain technology in healthcare. From foundational concepts to real-world applications, this book empowers understanding to harness the potential of blockchain to improve patient outcomes, enhance data privacy, and optimize healthcare delivery. Delve into the integration of blockchain with the Internet of Things and AI to uncover groundbreaking solutions for challenges faced by the healthcare industry. Gain insights into the regulatory and ethical implications of blockchain in healthcare, ensuring responsible and effective implementation. Each chapter unveils the current uses of blockchain in drug discovery, drug and device tracking, real-world data collection, and increased patient engagement, used to unlock opportunities to advance health sciences research. This book is an essential guide for readers exploring opportunities to empower and enable data in health science research.

Readers will find the volume:

- Introduces the fundamentals of blockchain and its integration with IoT in healthcare;
- Provides practical applications across patient records, drug supply chains, and genomics research;
- Explores the synergy of AI, IoT, and blockchain for unprecedented healthcare advancements.

Audience

Healthcare professionals, researchers, policymakers, IT experts, and anyone interested in the future of healthcare.

Autoren/Hrsg.

Chaudhary, Aryan

Singh, Rashmi

Agarwal, Gaurav

Fachgebiete

• Sozialwissenschaften Politikwissenschaft Regierungspolitik Umwelt- und Gesundheitspolitik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Pharmazie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Pharmakologie, Toxikologie

Inhaltsverzeichnis

Preface xvii

Part I: Foundational Concepts 1

1 Introduction to Blockchain Technology 3
Vivek Tomar, Swati Sharma and Sangeeta Arora

1.1 Introduction 4

1.2 Evolution of Blockchain 7

1.3 Working of Blockchain 10

1.4 Applications of Blockchain 18

1.5 Future of Blockchain 22

1.6 Conclusion 24

2 IoT Integration in Health Sciences 29
Bharti Chugh, Karnika Dwivedi, Preeti Garg, Pankaj Bhatt and Sachi Gupta

2.1 Introduction 30

2.2 IoT Health Sciences Framework 33

2.3 IoT Health Sciences Applications 36

2.4 Challenges 38

2.5 Internet of Things (IoT) Health Security Concerns 41

2.6 Summary 45

3 Transforming of Healthcare with IoT 49
Oroos Arshi and Aryan Chaudhary

3.1 Introduction 49

3.2 Related Works 51

3.3 Key Features Internet of Things for Healthcare Management 53

3.4 Application of IoT in Healthcare 56

3.5 IoT Based Healthcare Challenges 59

3.6 Patient Empowerment Through IoT in Healthcare 61

3.7 Conclusion 63

Part II: Blockchain in Healthcare 67

4 Blockchain-Enabled Health Platforms: Mitigating Vitamin D Deficiency through Decentralized Health Data Management 69
Reepu, Gaganjot and Preethi John

4.1 Introduction 70

4.2 Method 70

4.3 Literature Review 72

4.4 Health Promotion and the HBM 74

4.5 Blockchain Integration 77

4.6 Challenges 79

4.7 Discussion 79

4.8 Future Work and Research Opportunities 80

4.9 Conclusion 82

5 Exploring the Potentiality of Blockchain Technology in Healthcare and Data Security: Perceptions of General and Engineering College Students in West Bengal 87
Mazhar Shamsi Ansary, Indrajit Mahato and Santosh Kumar Behera

5.1 Introduction 88

5.2 Literature Review 91

5.3 Objectives of the Study 93

5.4 Hypotheses of the Study 94

5.5 Method of the Study 95

5.6 Results and Discussion 96

5.7 Future Research Opportunities 105

5.8 Conclusion 106

6 Implementing Blockchain, IoT and Cloud in Healthcare 111
M. Dhurgadevi, D. VimalKumar, R. Senthilkumar and K. Gunasekaran

6.1 Introduction 112

6.2 Related Work 115

6.3 Cloud Services in the Healthcare Industry 117

6.4 Emergence of Blockchain in Cloud Technology 118

6.5 IoT-Assisted Healthcare System 119

6.6 Blockchain Integration with IoT and Cloud Technology 120

6.7 Results and Discussion 122

6.8 Future Work and Research Opportunities 124

6.9 Conclusion 125

7 E-Health Using AI with Blockchain 129
Sunil Gautam, Pooja Patel, Heer Ramavat and Gaurav Agarwal

7.1 Introduction 130

7.2 Related Works 134

7.3 Discussion About Blockchain and Artificial Intelligence 139

7.4 Conclusion 152

7.5 Future Works 153

8 Current Developments of Blockchain Technology in Bioinformatics and Healthcare 159
Sneha Roy, Saurav Kumar Mishra, Tabsum Chhetri, Kusum Gurung, Anagha Balakrishnan, Jeba Praba and John Johnros Georrge

9 Blockchain Technology Protocols, Applications and Use Cases 187
Oroos Arshi and Aryan Chaudhary

9.1 Introduction 188

9.2 An Overview of Blockchain Technology 188

9.3 Key Challenges of Blockchain Technology 193

9.4 Working With Distributed Ledger Technology and Blockchain 194

9.5 Blockchain, Digital Currency, Cryptocurrency and Bitcoin 196

9.6 Blockchain Examples and Use Cases 197

9.7 Conclusion 199

Part III: Blockchain in Pharmaceuticals 201

10 Blockchain Empowered Pharmaceuticals: A Paradigm Shift in Drug Development and Supply Chain Management 203
Parthasarathi P., Suresh Kumar K., Girimurugan R., Ravivarman G., Vigneshwaran M. and Perumal A.

10.1 Introduction 204

10.2 Literature Review 210

10.3 Proposed Solution 213

10.4 Results and Discussions 219

10.5 Conclusions 225

11 IoT and Blockchain Security for Medical Data 229
S. Pavithra, Pavani M. and Harini D.

11.1 Introduction 230

11.2 Related Works 231

11.3 Background 233

11.4 Proposed System 235

11.5 Experimental Result and Discussion 243

11.6 Conclusion 249

12 Blockchain in Pharmaceutical Research 253
Soma Saha and Bodhisatwa Mazumdar

12.1 Introduction 254

12.2 Salient Features of Pharmaceutical Supply Chain 258

12.3 Blockchain for Pharmaceutical Supply Chain Management 261

12.4 Blockchain-Based Existing PSC: Case Studies 267

12.5 Conclusion 270

13 Transforming Pharmaceutical Research with Blockchain Technology 275
Karnika Dwivedi, Preeti Garg, Bharti Chugh, Pankaj Bhatt and Ashish Kumar

13.1 Introduction 276

13.2 Blockchain Technology: A New Era of Pharmaceutical Research 278

13.3 Blockchain for Securing Pharmaceutical Trades: A Layered Approach 283

13.4 Applications of Blockchain in Pharmaceutical Research 285

13.5 Challenges 287

13.6 Summary 289

13.7 Future Research Work 289

14 Blockchain Applications in Pharmaceutical Research: A Comprehensive Overview 293
Bhavna Sharma and Susheela Hooda

14.1 Introduction 294

14.2 Related Work 297

14.3 Landscape of Pharmaceutical Research 300

14.4 Role of Blockchain in Supply Chain Management 303

14.5 Aspects Related to Regulation 306

14.6 Comparative Analysis 308

14.7 Conclusion 310

15 Blockchain Innovations in Pharmaceutical Applications 313
Dinesh Kumar, Rajni, Puja Gulati, Savita Deokar, Rajib Singh and Debarshi Kar Mahapatra

15.1 Introduction 314

15.2 Blockchain and Supply Chain 314

15.3 Blockchain Networks 316

15.4 Data Governance 320

15.5 Data Quality 320

15.6 Pharmaceutical Turnover 321

15.7 Prescription Drug Monitoring 321

15.8 Blockchain: Distributed Ledger Technology 322

15.9 Conclusion 324

Part IV: Integration of AI, IoT and Blockchain 329

16 Using AI with Blockchain: Applications, Challenges, and Future Directions in Health Sciences 331
Sheena Mohammed, Kaneez Fatima and Swathi Tejah Yalla

16.1 Introduction 332

16.2 Benefits of Integrating AI with Blockchain 334

16.3 Innovative Applications Across Industries 335

16.4 Current Challenges Confronting Healthcare Organizations in Both Managing Their Operations and Delivering Quality Medical Care 336

16.5 AI and Blockchain Have Immense Potential in Resolving These Obstacles Currently Faced 336

16.6 AI and Blockchain Uses in the Healthcare Industry 337

16.7 Realtime Applications in Healthcare Based on AI and Blockchain Technology 341

16.8 Challenges of Integrating AI with Blockchain in Health Sciences 342

16.9 Addressing the Challenges 343

16.10 Future Potential and Directions 345

16.11 Conclusion 346

17 Implementing CNN Algorithm for Medical Image Analysis 349
Vaishali Chourey, Mohd. Arsh, Jahnvi Chourey and Sunil Gautam

17.1 Introduction 350

17.2 Medical Imaging and Deep Learning 351

17.3 Fundamentals of Deep Learning and CNN 352

18 Smart Healthcare Systems with IoT and Blockchain 369
Ashish Kumar, Sachi Gupta and Vrinda Sachdeva

18.1 Introduction 370

18.2 Foundations of IoT Based Healthcare 372

18.3 IoT Solutions in Health Monitoring 372

18.4 Fog Computing and Cloud Integration 377

18.5 Blockchain Applications in Healthcare Systems 378

18.6 Security Features and Challenges 379

18.7 Future Advances in IoT-Powered Healthcare 381

18.8 Conclusion 383

Part V: Blockchain in Genomics & Blockchain Goverance 387

19 Blockchain Technology and Genomic Research 389
Odangowei Inetiminebi Ogidi and Ebimobotei Mao Bunu

19.1 Introduction 390

19.2 Overview of Blockchain Technology 392

19.3 An Overview of Genomics Research 395

19.4 Challenges in Genomics 396

19.5 Incorporation of Blockchain Technology into Genomics 398

19.6 Current Blockchain Technological Applications in Genomics 399

19.7 Challenges of Implementing Blockchain in Genomic Research 400

19.8 Future Directions 404

19.9 Conclusion 406

20 The Role of Blockchain in Genomics Sciences 411
Sunil Gautam, Mansi Menon and Roshni Rana

20.1 Introduction 412

20.2 General Applications of Blockchain 416

20.3 Related Works 419

20.4 Application of Blockchain Technology in Genomics 426

20.5 Current Blockchain-Based Approaches and Methods in Genomics 430

20.6 Limitations 434

20.7 Future Scenarios 435

21 Revealing Blockchain Governance and Intellectual Property Protection Unleashing Innovation in Drug Discovery and Traceability: Scaling Legal Framework in Smart Health Science 441
Bhupinder Singh and Christian Kaunert

21.1 Introduction 442

21.2 Blockchain Technology in Healthcare 446

21.3 Drug Discovery and Traceability 448

21.4 Blockchain Governance in Drug Discovery 450

21.5 Intellectual Property Protection in Health Sector: Blockchain Implementation 451

21.6 Challenges and Concerns 452

21.7 Conclusion and Future Scope 453

References 454

Index 465

Über Autor(innen)

Aryan Chaudhary is the Chief Scientific Advisor, BioTech Sphere Research, India. He has published academic papers on public and digital health in international journals and participated as a keynote speaker in many national and international conferences. His research includes the integration of Internet of Things and sensor technology for gathering vital signs through ambulatory monitoring, the functionality of artificial intelligence, machine learning for big data analytics for faster intervention, and tracking of prognosis and research for effective clinical research for the future development of treatments, drugs, pathological tests, and the supply system.

Rashmi Singh, PhD is a professor and placement coordinator at the Amity Institute of Applied Sciences with over 20 years of experience. She has published two books, 40 patents, and 18 articles in national and international journals of repute. Her research interests include fuzzy, soft, and rough set theory, near structures, and mathematics in artificial intelligence and machine learning.

Gaurav Agarwal, PhD is an associate professor and program chair in the School of Computer Science and Engineering at Galgotias University with over 20 years of teaching experience. He has published ten articles in international journals and conferences and eight patents. His research interests include web usability and accessibility, deep learning, machine learning, and large language models.