Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions
- 1st Edition - March 11, 2022
- Imprint: Academic Press
- Editors: Patricia Ordonez de Pablos, Kwok Tai Chui, Miltiadis D. Lytras
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 1 3 1 8 - 6
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 3 2 1 0 - 1
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- Presents real-world cases with experiences of applications of healthcare solutions during the pandemic of COVID-19
- Discusses new approaches, theories and tools developed during an unprecedented health situation and how they can be used afterwards
- Encompasses information on preparedness for future outbreaks to make less costly and more effective healthcare responses to crises
Researchers, scientists and academics in the field of medical/health informatics; clinicians. Policy makers, healthcare providers
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Preface
- Introduction
- Contents of this book
- Acknowledgments
- Chapter 1: Social dimensions and preconditions of digitalization in healthcare: Implications of the COVID-19 syndemic
- Abstract
- 1: Introduction
- 2: COVID-19 and digitalization
- 3: Social dimensions of digitalization in times of COVID-19
- 4: Conclusions
- References
- Chapter 2: Digital innovation for healthcare in COVID-19 pandemic
- Abstract
- 1: Introduction
- 2: Health and its challenges
- 3: Digital innovation: Potential value and its capabilities
- 4: Conclusion
- 5: Implications for digital health
- References
- Chapter 3: A digital health ecosystem for Africa during the COVID-19 pandemic
- Abstract
- 1: Introduction
- 2: Digital health care
- 3: Digital ecosystems
- 4: Stakeholders in digital health ecosystems
- 5: Conclusions
- References
- Chapter 4: Doctor@Home: New perspectives on telemedicine for women during the COVID pandemic
- Abstract
- 1: Introduction and aim of the study
- 2: Literature review
- 3: Research method
- 4: The case study
- 5: Discussion and conclusions
- References
- Chapter 5: Implementing virtual patient rooming during telemedicine visits
- Abstract
- 1: Introduction
- 2: Rapid adoption of telemedicine and clinic flow redesign
- 3: Challenges associated with telemedicine and patient rooming
- 4: Health center redesign for virtual rooming
- 5: Provider, nursing, and administrative staff responses to the virtual rooming workflow
- 6: Conclusion and next steps
- References
- Chapter 6: Advancing digital technologies in healthcare
- Abstract
- 1: Introduction
- 2: Accelerated use of specific digital technologies
- 3: Factors facilitating integration of digital technologies into healthcare systems
- 4: Challenges and advantages for adoption of digital technologies in healthcare
- 5: Achieving those economies of scale
- 6: Developing future DIT for successful use
- 7: Looking forward
- 8: Conclusion
- References
- Chapter 7: Impact of COVID-19 on the adoption of digital pathology
- Abstract
- Declaration of conflicting interests
- 1: COVID-19 impact on pathology practice
- 2: COVID-19 impact on remote sign-out for primary diagnosis
- 3: COVID-19 impact on multidisciplinary tumor boards and consensus conferences
- 4: Impact on pathology education
- 5: Impact on pathology research
- 6: Lessons to be learned
- 7: Opportunities for further research
- References
- Chapter 8: The COVID-19 pandemic in an interdependent world: Digital health as a tool for equity and gender empowerment
- Abstract
- 1: Introduction
- 2: Historical background
- 3: COVID-19 pandemic and globalization: A question of equity
- 4: The challenge of health equity during the COVID-pandemic
- 5: Ways forward: Using the rare moment of crystal clarity for the future of health
- References
- Chapter 9: The study of the dilemma on the control of COVID-19 spread and face-to-face learning and its trade-off solutions
- Abstract
- 1: Introduction
- 2: Dilemma
- 3: Trade-off solutions
- 4: Potential research directions
- 5: Conclusion
- References
- Chapter 10: Digital tools for direct and indirect citizen empowerment: The retaliatory response against COVID-19 in India
- Abstract
- 1: Introduction
- 2: The Apps that won over COVID
- 3: COVID a brief critical review of existing literature
- 4: Methodology
- 5: Results and discussions
- 6: Conclusion
- Annexure 1
- References
- Further reading
- Chapter 11: Continuum of care through patient relationship management approach in Indian public healthcare system
- Abstract
- Acknowledgment
- 1: Introduction
- 2: Objectives
- 3: Review of literature
- 4: The COVID and post COVID
- 5: Methodology
- 6: The CoC and PRM model
- 7: Conclusion
- 8: Suggestions
- 9: Advantage
- 10: Limitations
- Annexure I
- Annexure II
- Annexure III
- References
- Chapter 12: The identification of risk factors associated with COVID-19 in a large inpatient cohort using machine learning approaches
- Abstract
- Acknowledgment
- 1: Introduction
- 2: Related work
- 3: Machine learning and reinforcement learning methods
- 4: Data, machine learning methods, and study results
- 5: Conclusion
- References
- Chapter 13: Geospatial analysis of COVID-19 distribution and its relation to public transportation services
- Abstract
- 1: Introduction
- 2: Material and methods
- 3: Methodology
- 4: Results
- 5: Discussion
- 6: Conclusions
- References
- Chapter 14: M-health system for cardiac and COVID patient monitoring using body sensor networks and machine learning
- Abstract
- Acknowledgments
- 1: Introduction
- 2: Related work
- 3: The proposed methodology
- 4: Experimental results
- 5: Conclusions and future work
- References
- Chapter 15: Pandemic-driven innovations contribute to the development of information-based medicine
- Abstract
- Acknowledgments
- 1: Introduction
- 2: Digitalization and innovations
- 3: Data and statistical aspects of the combat against the pandemic
- 4: Decision support systems (DSS)
- 5: Targeted public health interventions
- 6: Epidemic modeling exploiting big data
- 7: From information to information-based principles
- 8: Conclusions
- References
- Chapter 16: Enabling Healthcare 4.0 applications development through a middleware platform
- Abstract
- 1: Introduction
- 2: Healthcare 4.0 background
- 3: Healthcare 4.0 objectives and challenges
- 4: Middleware Requirements to enable Healthcare 4.0
- 5: H4WARE architecture
- 6: Application scenario
- 7: Prototype implementation and experiments
- 8: Related work
- 9: Conclusion and future directions
- References
- Chapter 17: Healthcare 4.0 significance and benefits affirmed by the COVID-19 pandemic
- Abstract
- 1: Introduction
- 2: Background and related work
- 3: COVID-19-induced advances in healthcare systems
- 4: Shortfalls of current healthcare systems
- 5: The move to healthcare 4.0
- 6: Discussion
- 7: Conclusion
- References
- Chapter 18: Improving the diagnostic accuracy using amplification and sequencing of the SARS-CoV-2 genome
- Abstract
- 1: Introduction
- 2: Related works
- 3: Need of emerging digital health innovations
- 4: The growth of healthcare-as-a-service (why patients want healthcare on their schedule)
- 5: Healthcare that is foresighted: COVID-19 digital revolution
- 6: Perceiving the horizon
- 7: Novel coronaviruses: Using deep learning to combat the threat (COVID-19) pandemic
- 8: Image-based diagnostic methods
- 9: Limitations
- 10: Conclusion
- References
- Chapter 19: Telecardiology COVID-19 cryptographic system: Security reinforcement through metaheuristics and artificial neural networks
- Abstract
- Research funding
- Availability of data and materials
- Ethics approval and consent to participate
- Consent for publication
- Competing interests
- 1: Introduction
- 2: Related works
- 3: Key challenges of COVID-19 telecardiology
- 4: Our solution strategy
- 5: Block diagram of the proposed technique
- 6: Proposed methodology
- 7: Result sections
- 8: Conclusions
- 9: Limitations and future scope of improvement
- References
- Chapter 20: The use of digital technologies in the response to SARS-2 CoV2-19 in the public health sector
- Abstract
- 1: Introduction
- 2: Background information and concept of digital health
- 3: Organizing and keeping track
- 4: Infection screening is conducted
- 5: Epidemiological monitoring in the digital age
- 6: Decision-making aids based on data visualization
- 7: Increasing the availability of digital data
- 8: The dangers of digital technology
- 9: Providing information to a new generation of information seekers
- 10: The digital age is here to stay
- 11: Conclusions
- References
- Index
- Edition: 1
- Published: March 11, 2022
- No. of pages (Paperback): 456
- No. of pages (eBook): 456
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780128213186
- eBook ISBN: 9780128232101
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, SpainKC
Kwok Tai Chui
Kwok Tai Chui, PhD, had industry experience as Senior Data Scientist at an Internet of Things (IoT) company. He joined the Department of Technology, School of Science and Technology, at The Open University of Hong Kong as Research Assistant Professor. He was the recipient of Best Paper Award in IEEE The International Conference on Consumer Electronics-China, in both 2014 and 2015. He has more than 45 research publications including edited books, book chapters, journal papers, and conference papers. He has served as various editorial positions in ESCI/SCIE-listed journals including Managing Editor of International Journal on Semantic Web and Information Systems, Associate Editor of International Journal of Asian Business and Information Management, and Guest Editor of Journal of Internet Technology. His research interests include computational intelligence, data science, energy monitoring and management, intelligent transportation, smart metering, healthcare, machine learning algorithms and optimization.
Affiliations and expertise
PhD, Senior Data Scientist, Internet of Things (IoT) company; Research Assistant Professor, Department of Technology, School of Science and Technology, The Open University of Hong Kong, Hong KongML
Miltiadis D. Lytras
Dr. Miltiadis D. Lytras is an expert in advanced computer science and management, editor, lecturer, and research consultant, with extensive experience in academia and the business sector in Europe and Asia. Dr. Lytras is a Research Professor at Deree College - The American College of Greece and a Distinguished Scientist at the King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia. Dr. Lytras is a world-class expert in the fields of cognitive computing, information systems, technology enabled innovation, social networks, computers in human behavior, and knowledge management. In his work, Dr. Lytras seeks to bring together and exploit synergies among scholars and experts committed to enhancing the quality of education for all.
Affiliations and expertise
Research Professor, Deree College - The American College of Greece and a Distinguished Scientist at the King Abdulaziz University, Jeddah, Kingdom of Saudi ArabiaRead Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions on ScienceDirect