Artificial intelligence, Big data, blockchain and 5G for the digital transformation of the healthcare industry
A movement Toward more resilient and inclusive societies
- 1st Edition - November 24, 2023
- Imprint: Academic Press
- Editors: Patricia Ordonez de Pablos, Xi Zhang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 1 5 9 8 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 1 5 9 9 - 5
Artificial intelligence, Big data, Blockchain and 5G for Digital Transformation of Healthcare Industry: A Movement Towards More Resilient and Inclusive Societies deliv… Read more
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Request a sales quoteArtificial intelligence, Big data, Blockchain and 5G for Digital Transformation of Healthcare Industry: A Movement Towards More Resilient and Inclusive Societies 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 policymakers 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
Researchers, scientists, and academics in the field of information technologies, frontier research (epidemiology, immunology, virology and other relevant scientific disciplines) and medicine as well as policymakers. Also Master and PhD students.Research centers, universities, government (ministries of health, digital innovation, economy
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Preface
- Acknowledgments
- Section 1. What COVID-19 pandemic revealed about digital healthcare industry and infrastructure
- Chapter 1. Impact of digital health on main stakeholders in the healthcare industry
- 1. Introduction
- 2. The evolution from traditional to digital healthcare system
- 3. The growth and trend of digital health globally
- 4. Implications of digital health to the relevant stakeholders
- 5. Case study: Digital health implementation and its impact on the healthcare travel industry in Malaysia during the recent COVID-19 pandemic
- 6. Conclusion
- Chapter 2. Emerging technologies for in-home care for the elderly, frail, and vulnerable adults
- 1. Introduction
- 2. Emerging technologies
- 3. Radar-based systems for fall detection: advances in the state-of-the-art
- 4. Design of an ideal radar-based fall detection system
- 5. Promises and limitations
- 6. Future research directions
- 7. Conclusion
- Chapter 3. On the use of patient-reported measures in digital medicine to increase healthcare resilience
- 1. Introduction
- 2. The role of PROMs and PREMs in healthcare resilience
- 3. Digital health technology and PROMs/PREMs for healthcare resilience
- 4. Impact of the use of PROMs and PREMs in digital health for healthcare resilience
- 5. Challenges and considerations for using PROMs and PREMs for healthcare resilience
- 6. Conclusion
- Section 2. Digital transformation of healthcare services and infrastructures. Challenges, opportunities, and risks
- Chapter 4. Digital transformation of the healthcare critical care industry: Telepharmacy in intensive care unit settings—advancing the knowledge base
- 1. Introduction
- 2. Aim of the chapter
- 3. Scope of CCTP service
- 4. Descriptions of CCTP services
- 5. Communication methods in CCTP
- 6. Outcomes of CCTP service
- 7. Role of CCTP during COVID-19 and similar pandemics
- 8. Perspectives of HCPs about CCTP
- 9. Acceptance of pharmacy recommendations provided through CCTP
- 10. Critical factors in the initiation and sustainment of CCTP services
- 11. Evaluation of CCTP services
- 12. Future research on CCTP
- 13. Conclusions
- Chapter 5. Healthcare digital transformation through the adoption of artificial intelligence
- 1. Introduction
- 2. The trend of the global healthcare industry
- 3. The trend of the healthcare industry in Malaysia
- 4. Digital transformation movements in the global healthcare industry
- 5. Digital transformation movements in the Malaysian healthcare landscape
- 6. Interpretation of healthcare digitalization through technology acceptance model
- 7. AI and its usage in the healthcare industry
- 8. Precautions of AI usage
- 9. Case study: AI development for healthcare sector in Malaysia
- 10. Conclusion
- Chapter 6. Telepharmacy: a modern solution for expanding access to pharmacy services
- 1. Introduction
- 2. History and evolution of telepharmacy
- 3. Types of telepharmacy services and models
- 4. Benefits and limitations of telepharmacy for patients and healthcare providers
- 5. Technology and infrastructure requirements for telepharmacy
- 6. Legal and regulatory considerations
- 7. Considerations on pharmaceutical quality and pharmacy practice
- 8. Telepharmacy implementations in the authors' home countries
- 9. Conclusion and outlook: opportunities, challenges, and barriers of telepharmacy
- Section 3. Artificial intelligence and blockchain for digital transformation of healthcare services
- Chapter 7. Appropriate artificial intelligence algorithms will ultimately contribute to health equity
- 1. Introduction
- 2. Artificial intelligence
- 3. Novel approaches to machine learning
- 4. Precision, personalization, participation, and health equity
- 5. Conclusions
- Chapter 8. The potential of artificial intelligence and machine learning in precision oncology
- 1. Introduction
- 2. AI and machine learning applications in healthcare
- 3. AI and machine learning in precision oncology
- 4. Challenges and ethical considerations
- 5. AI and PO in Oman
- 6. Summary and conclusion
- Chapter 9. The use of artificial intelligence in enhancing the quality of decisions in healthcare institutions
- 1. Introduction
- 2. Literature review
- 3. Methodology
- 4. Conclusion
- Chapter 10. A critique of blockchain in healthcare sector
- 1. Introduction
- 2. Key characteristic
- 3. Type of blockchain
- 4. Healthcare application of blockchain
- 5. Few implemented blockchain in healthcare sector
- 6. Challenges in implementation
- 7. Conclusion
- Chapter 11. A managerial overview of blockchain implications and challenges for healthcare system
- 1. Preliminary reflections
- 2. Theoretical background
- 3. Theoretical framework and conceptual development
- 4. Discussions and implications
- 5. Conclusions
- Section 4. Big data and 5G for digital transformation of healthcare services
- Chapter 12. The impact of using the Internet of Things on the development of the accounting information system in the health sector
- 1. Introduction
- 2. Internet of Things and its components
- 3. Advantages of Internet of Things technology
- 4. Challenges and limitations of Internet of Things
- 5. Previous studies
- 6. The impact of the Internet of Things on the healthcare sector
- 7. The impact of the Internet of Things on the development of the accounting information system in the healthcare Sector (a proposed model)
- 8. Conclusion
- Chapter 13. Understanding how big data awareness affects healthcare institution performance in Oman
- 1. Introduction
- 2. Healthcare context in Oman
- 3. Literature review
- 4. Methodology
- 5. Data analysis and findings
- 6. Discussion
- 7. Theoretical and practical implications
- 8. Discussion
- 9. Limitations and future research
- 10. Recommendations
- Section 5. Knowledge management and data sharing for accelerating solutions in healthcare industry
- Chapter 14. Novel applications of deep learning in surgical training
- 1. Introduction
- 2. Simulation and virtual reality training
- 3. Intelligent tutoring systems for surgical training
- 4. Enhancing surgical training with augmented reality and deep learning
- 5. Training in robotic-assisted surgery
- 6. Data-driven personalized surgical training
- 7. Conclusion
- Chapter 15. Digital tools and innovative healthcare solutions: Serious games and gamification in surgical training and patient care
- 1. Introduction
- 2. Gamification in surgery
- 2.7. Gamified patient-dedicated solutions: Limitations and recommendations
- 3. Final thoughts
- Chapter 16. Privacy-preserving patient-centric electronic health records exchange using blockchain
- 1. Introduction
- 2. Blockchain for healthcare
- 3. Patient-centric privacy preserving EHRS exchange using blockchain
- 4. Patient-centric privacy preserving EHR exchange using blockchain: Technical aspects
- 5. Legal and regulatory considerations
- 6. Conclusion and future directions
- Section 6. Health emergency preparedness and response
- Chapter 17. Digital twins in healthcare and biomedicine
- 1. Introduction
- 2. Digital twins
- 3. Digital twins for personalized medicine
- 4. Digital twins for cancer diagnosis and treatment
- 5. Digital twins for cardiovascular disease management
- 6. Digital twins for management of multiple sclerosis
- 7. Digital twins and ethics
- 8. Discussion
- 9. Conclusion
- Chapter 18. Big data and artificial intelligence for pandemic preparedness
- 1. Introduction
- 2. Big data and AI for pandemic planning, preparedness, and response
- 3. Challenges of big data and AI
- 4. Conclusions
- Section 7. Conclusions and implications for healthcare research agenda and policy makers
- Chapter 19. Building the path for healthcare digitalization through a possible depiction of telehealth evolution
- 1. Preliminary reflections
- 2. Theoretical background
- 3. Research approach, conceptual development, and discussions
- 4. Final remarks, implications, and future directions for research
- 5. Conclusion
- Chapter 20. The ethical dilemma of using robotics in psychotherapy
- 1. Robots in psychotherapy: An introduction
- 2. Application of robots in psychotherapy
- 3. Ethical dilemmas of robot use in psychotherapy
- 4. Conclusion
- Index
- Edition: 1
- Published: November 24, 2023
- No. of pages (eBook): 316
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780443215988
- eBook ISBN: 9780443215995
Pd
Patricia Ordonez de Pablos
Patricia de Pablos is a Professor of Business Administration at the University of Oviedo in Spain. Her field of research focuses on knowledge management, healthcare sector, innovation, information technologies and technological disruption. She published more than 125 papers in academic journals and more than 35 books. She has wide editorial experience in journals, books and book series. She serves as Editor in Chief of International Journal of Asian Business and Information and Journal of Science and Technology Policy Management. She edited several books and bookseries. In 2021 she was named on “Stanford University’s Ranking of the World Scientists: World’s Top 2% Scientists".
Affiliations and expertise
Professor, Faculty of Economics and Business, The University of Oviedo, SpainXZ
Xi Zhang
Dr. Xi Zhang’s research interests are knowledge management systems, digital transformation, and people analytics. He has published several papers in international journals such as Journal of Knowledge Management, Journal of MIS, CHB, IEEE TEM, IEEE TKDE, etc. He also served as editorial board of IJABIM, IJSWIS, JMSE and JSTPM.
Affiliations and expertise
Professor and department head of Information Management and Management Science, College of Management and Economics, Tianjin University, ChinaRead Artificial intelligence, Big data, blockchain and 5G for the digital transformation of the healthcare industry on ScienceDirect