Artificial intelligence, Big data, blockchain and 5G for the digital transformation of the healthcare industry: A movement Toward more resilient and inclusive societies
About this ebook
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
About the author
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".
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.
