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?Artificial intelligence, Big data, Blockchain and 5G for Digital Transformation of Healthcare Industry provides insights on the successes and failures in the field of IT and digital health during the pandemic and analyzes the lessons from these cases.

The social and economic recovery after the pandemic requires urgent solutions for citizens, companies and economies around the world. From research centers, labs, hospitals and academia, researchers and academics are working collaboratively to explore new views and frameworks to develop solutions for emergent problems. Artificial intelligence, Big data, blockchain and 5G for digital transformation of healthcare industry includes cases highlighting the application of digital healthcare solutions from around the world.

In 23 Chapters this book delivers a collection of relevant innovative research on digital healthcare, with a three mains goals: 1) study the successes and failures in the field of IT and digital health during the pandemic, and analyze the lessons from these cases; 2) discuss the latest advances in the field of digital healthcare, with a special focus on Artificial Intelligence, Big Data, Blockchain and 5G; and 3) discuss implications for main stakeholders (patients, doctors, IT experts, directors, policy managers.

The global outbreak caused by covid-19 caused global disruption in societies, healthcare systems, and economies around the world. This book provides insight to Researchers, clinicians, CEOs and policy makers who need to learn from the failures and successes and exploit the potential of advanced information technologies to build stronger healthcare systems, better quality healthcare services, and more resilient societies.

  • Delivers a collection of relevant innovative research on digital healthcare
  • Discusses the latest advances in the field of digital healthcare, with a special focus on Artificial Intelligence, Big Data, Blockchain, and 5G
  • Provides current lessons learned from the pandemic
  • Includes case studies and experiences from around the world, including Asia, Europe, Gulf Region, Latin America, the United States, and more

1. Artificial intelligence, Big data, blockchain and 5G for the digital transformation of the healthcare industry - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page i 4. Table of Contents - p. Page iv 5. Copyright - p. Page v 6. Contributors - p. Page v 7. Preface - p. Page viii 8. Acknowledgments - p. Page xviii 9. List of Illustrations - p. Page xix 10. List of Tables - p. Page xx 11. Chapter 1 : Impact of digital health on main stakeholders in the healthcare industry - p. Page xx 12. Chapter 2 : Emerging technologies for in-home care for the elderly, frail, and vulnerable adults - p. Page 16 13. Chapter 3 : On the use of patient-reported measures in digital medicine to increase healthcare resilience - p. Page 37 14. Chapter 4 : Digital transformation of the healthcare critical care industry: Telepharmacy in intensive care unit settings—advancing the knowledge base - p. Page 60 15. Chapter 5 : Healthcare digital transformation through the adoption of artificial intelligence - p. Page 83 16. Chapter 6 : Telepharmacy: a modern solution for expanding access to pharmacy services - p. Page 105 17. Chapter 7 : Appropriate artificial intelligence algorithms will ultimately contribute to health equity - p. Page 142 18. Chapter 8 : The potential of artificial intelligence and machine learning in precision oncology - p. Page 169 19. Chapter 9 : The use of artificial intelligence in enhancing the quality of decisions in healthcare institutions - p. Page 185 20. Chapter 10 : A critique of blockchain in healthcare sector - p. Page 200 21. Chapter 11 : A managerial overview of blockchain implications and challenges for healthcare system - p. Page 228 22. Chapter 12 : The impact of using the Internet of Things on the development of the accounting information system in the health sector - p. Page 245 23. Chapter 13 : Understanding how big data awareness affects healthcare institution performance in Oman - p. Page 267 24. Chapter 14 : Novel applications of deep learning in surgical training - p. Page 289 25. Chapter 15 : Digital tools and innovative healthcare solutions: Serious games and gamification in surgical training and patient care - p. Page 318 26. Chapter 16 : Privacy-preserving patient-centric electronic health records exchange using blockchain - p. Page 337 27. Chapter 17 : Digital twins in healthcare and biomedicine - p. Page 358 28. Chapter 18 : Big data and artificial intelligence for pandemic preparedness - p. Page 400 29. Chapter 19 : Building the path for healthcare digitalization through a possible depiction of telehealth evolution - p. Page 412 30. Chapter 20 : The ethical dilemma of using robotics in psychotherapy - p. Page 430 31. Index - p. Page 444

Descripcion
Descripción

?Artificial intelligence, Big data, Blockchain and 5G for Digital Transformation of Healthcare Industry provides insights on the successes and failures in the field of IT and digital health during the pandemic and analyzes the lessons from these cases.

The social and economic recovery after the pandemic requires urgent solutions for citizens, companies and economies around the world. From research centers, labs, hospitals and academia, researchers and academics are working collaboratively to explore new views and frameworks to develop solutions for emergent problems. Artificial intelligence, Big data, blockchain and 5G for digital transformation of healthcare industry includes cases highlighting the application of digital healthcare solutions from around the world.

In 23 Chapters this book delivers a collection of relevant innovative research on digital healthcare, with a three mains goals: 1) study the successes and failures in the field of IT and digital health during the pandemic, and analyze the lessons from these cases; 2) discuss the latest advances in the field of digital healthcare, with a special focus on Artificial Intelligence, Big Data, Blockchain and 5G; and 3) discuss implications for main stakeholders (patients, doctors, IT experts, directors, policy managers.

The global outbreak caused by covid-19 caused global disruption in societies, healthcare systems, and economies around the world. This book provides insight to Researchers, clinicians, CEOs and policy makers who need to learn from the failures and successes and exploit the potential of advanced information technologies to build stronger healthcare systems, better quality healthcare services, and more resilient societies.

  • Delivers a collection of relevant innovative research on digital healthcare
  • Discusses the latest advances in the field of digital healthcare, with a special focus on Artificial Intelligence, Big Data, Blockchain, and 5G
  • Provides current lessons learned from the pandemic
  • Includes case studies and experiences from around the world, including Asia, Europe, Gulf Region, Latin America, the United States, and more

1. Artificial intelligence, Big data, blockchain and 5G for the digital transformation of the healthcare industry - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page i 4. Table of Contents - p. Page iv 5. Copyright - p. Page v 6. Contributors - p. Page v 7. Preface - p. Page viii 8. Acknowledgments - p. Page xviii 9. List of Illustrations - p. Page xix 10. List of Tables - p. Page xx 11. Chapter 1 : Impact of digital health on main stakeholders in the healthcare industry - p. Page xx 12. Chapter 2 : Emerging technologies for in-home care for the elderly, frail, and vulnerable adults - p. Page 16 13. Chapter 3 : On the use of patient-reported measures in digital medicine to increase healthcare resilience - p. Page 37 14. Chapter 4 : Digital transformation of the healthcare critical care industry: Telepharmacy in intensive care unit settings—advancing the knowledge base - p. Page 60 15. Chapter 5 : Healthcare digital transformation through the adoption of artificial intelligence - p. Page 83 16. Chapter 6 : Telepharmacy: a modern solution for expanding access to pharmacy services - p. Page 105 17. Chapter 7 : Appropriate artificial intelligence algorithms will ultimately contribute to health equity - p. Page 142 18. Chapter 8 : The potential of artificial intelligence and machine learning in precision oncology - p. Page 169 19. Chapter 9 : The use of artificial intelligence in enhancing the quality of decisions in healthcare institutions - p. Page 185 20. Chapter 10 : A critique of blockchain in healthcare sector - p. Page 200 21. Chapter 11 : A managerial overview of blockchain implications and challenges for healthcare system - p. Page 228 22. Chapter 12 : The impact of using the Internet of Things on the development of the accounting information system in the health sector - p. Page 245 23. Chapter 13 : Understanding how big data awareness affects healthcare institution performance in Oman - p. Page 267 24. Chapter 14 : Novel applications of deep learning in surgical training - p. Page 289 25. Chapter 15 : Digital tools and innovative healthcare solutions: Serious games and gamification in surgical training and patient care - p. Page 318 26. Chapter 16 : Privacy-preserving patient-centric electronic health records exchange using blockchain - p. Page 337 27. Chapter 17 : Digital twins in healthcare and biomedicine - p. Page 358 28. Chapter 18 : Big data and artificial intelligence for pandemic preparedness - p. Page 400 29. Chapter 19 : Building the path for healthcare digitalization through a possible depiction of telehealth evolution - p. Page 412 30. Chapter 20 : The ethical dilemma of using robotics in psychotherapy - p. Page 430 31. Index - p. Page 444

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