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E-grāmata: Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions

Edited by , Edited by (PhD, Senior Data Scientist, Internet of Things (IoT) company; Research Assistant Professor, Department of Technology, School of Science and Technology, The), Edited by (Professor, Faculty of Economics and Business, The University of Oviedo, Spain)
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Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and SolutionsPalielināt
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Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions provides comprehensive knowledge and insights on the application of information technologies in the healthcare sector, sharing experiences from leading researchers and academics from around the world. The book presents innovative ideas, solutions and examples to deal with one of the major challenges of the world, a global problem with health, economic and political dimensions. Advanced information technologies can play a key role in solving problems generated by the COVID-19 outbreak. The book addresses how science, technology and innovation can provide advances and solutions to new global health challenges.

This is a valuable resource for researchers, clinicians, healthcare workers, policymakers and members of the biomedical field who are interested in learning how digital technologies can help us avoid and solve global disease dissemination.

  • 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
Contributors xiii
Preface xix
1 Social dimensions and preconditions of digitalization in healthcare: Implications of the COVID-19 syndemic 1(10)
Florian Fischer
1 Introduction
1(1)
2 COVID-19 and digitalization
2(1)
3 Social dimensions of digitalization in times of COVID-19
3(3)
4 Conclusions
6(1)
References
7(4)
2 Digital innovation for healthcare in COVID-19 pandemic 11(28)
Elham Nazari
1 Introduction
11(1)
2 Health and its challenges
12(1)
3 Digital innovation: Potential value and its capabilities
12(16)
4 Conclusion
28(1)
5 Implications for digital health
29(1)
References
30(9)
3 A digital health ecosystem for Africa during the COVID-19 pandemic 39(14)
Liezel Cilliers
1 Introduction
39(2)
2 Digital health care
41(4)
3 Digital ecosystems
45(1)
4 Stakeholders in digital health ecosystems
46(2)
5 Conclusions
48(1)
References
49(4)
4 Doctor@Home: New perspectives on telemedicine for women during the COVID pandemic 53(14)
Francesca Dal Mas
Helena Biancuzzi
Giuseppe Roberto Marseglia
Rym Bednarova
Lorenzo Cobianchi
Luca Miceli
1 Introduction and aim of the study
53(1)
2 Literature review
54(3)
3 Research method
57(1)
4 The case study
58(3)
5 Discussion and conclusions
61(1)
References
62(5)
5 Implementing virtual patient rooming during telemedicine visits 67(8)
Teresita Gomez
Michelle A. Bholat
Blanca Campos
Derjung M. Tarn
1 Introduction
67(1)
2 Rapid adoption of telemedicine and clinic flow redesign
68(1)
3 Challenges associated with telemedicine and patient rooming
69(1)
4 Health center redesign for virtual rooming
70(1)
5 Provider, nursing, and administrative staff responses to the virtual rooming workflow
70(3)
6 Conclusion and next steps
73(1)
References
73(2)
6 Advancing digital technologies in healthcare 75(20)
Sangeeta Gopal Saxena
Thomas Godfrey
1 Introduction
75(1)
2 Accelerated use of specific digital technologies
76(5)
3 Factors facilitating integration of digital technologies into healthcare systems
81(2)
4 Challenges and advantages for adoption of digital technologies in healthcare
83(4)
5 Achieving those economies of scale
87(1)
6 Developing future DIT for successful use
88(1)
7 Looking forward
89(1)
8 Conclusion
90(1)
References
91(4)
7 Impact of COVID-19 on the adoption of digital pathology 95(14)
Mustafa Yousif
Lewis Hassell
Liron Pantanowitz
1 COVID-19 impact on pathology practice
95(2)
2 COVID-19 impact on remote sign-out for primary diagnosis
97(2)
3 COVID-19 impact on multidisciplinary tumor boards and consensus conferences
99(1)
4 Impact on pathology education
100(3)
5 Impact on pathology research
103(1)
6 Lessons to be learned
104(1)
7 Opportunities for further research
104(1)
Declaration of conflicting interests
104(1)
Funding
104(1)
References
104(5)
8 The COVID-19 pandemic in an interdependent world: Digital health as a tool for equity and gender empowerment 109(28)
Mouna Ghanem
Danielle Drachmann
Lars Munter
Nicolaj Holm Faber
Bogi Eliasen
Robert Fullilove
Kristine Sorensen
1 Introduction
109(1)
2 Historical background
110(2)
3 COVID-19 pandemic and globalization: A question of equity
112(6)
4 The challenge of health equity during the COVID-pandemic
118(12)
5 Ways forward: Using the rare moment of crystal clarity for the future of health
130(2)
References
132(5)
9 The study of the dilemma on the control of COVID-19 spread and face-to-face learning and its trade-off solutions 137(16)
Lap-Kei Lee
Kwok Tai Chui
Yin-Chun Fung
1 Introduction
137(1)
2 Dilemma
138(3)
3 Trade-off solutions
141(5)
4 Potential research directions
146(2)
5 Conclusion
148(1)
References
149(4)
10 Digital tools for direct and indirect citizen empowerment: The retaliatory response against COVID-19 in India 153(20)
Subhanil Banerjee
Shilpi Gupta
Souren Koner
1 Introduction
153(2)
2 The Apps that won over COVID
155(5)
3 COVID a brief critical review of existing literature
160(3)
4 Methodology
163(1)
5 Results and discussions
163(2)
6 Conclusion
165(1)
Annexure I
166(3)
References
169(2)
Further reading
171(2)
11 Continuum of care through patient relationship management approach in Indian public healthcare system 173(16)
Varun Kumar Sahu
Sumita Dave
1 Introduction
173(2)
2 Objectives
175(1)
3 Review of literature
175(2)
4 The COVID and post COVID
177(1)
5 Methodology
178(2)
6 The CoC and PRM model
180(3)
7 Conclusion
183(1)
8 Suggestions
184(1)
9 Advantage
184(1)
10 Limitations
184(1)
Acknowledgment
185(1)
Annexure I
185(1)
Annexure II
185(1)
Annexure III
185(2)
References
187(2)
12 The identification of risk factors associated with COVID-19 in a large inpatient cohort using machine learning approaches 189(12)
Dezhi Wu
Yang Ren
Long He
Joseph Johnson
1 Introduction
189(1)
2 Related work
190(1)
3 Machine learning and reinforcement learning methods
191(2)
4 Data, machine learning methods, and study results
193(5)
5 Conclusion
198(1)
Acknowledgment
198(1)
References
198(3)
13 Geospatial analysis of COVID-19 distribution and its relation to public transportation services 201(16)
Magdalena Saldana-Perez
Victor Garrido-Gutierrez
Cornelio Yanez-Marquez
Miguel Torres-Ruiz
Marco Moreno-Ibarra
1 Introduction
201(1)
2 Material and methods
202(3)
3 Methodology
205(3)
4 Results
208(3)
5 Discussion
211(3)
6 Conclusions
214(1)
References
215(2)
14 M-health system for cardiac and COVID patient monitoring using body sensor networks and machine learning 217(28)
Francisco Beltran-Chavez
Felix Mata-Rivera
Mario Rivero
Miguel Torres-Ruiz
Roberto Zagal-Flores
Giovanni Guzman
Rolando Quintero
1 Introduction
217(1)
2 Related work
218(3)
3 The proposed methodology
221(8)
4 Experimental results
229(12)
5 Conclusions and future work
241(2)
Acknowledgments
243(1)
References
243(2)
15 Pandemic-driven innovations contribute to the development of information-based medicine 245(18)
Jan Kalina
1 Introduction
245(1)
2 Digitalization and innovations
246(1)
3 Data and statistical aspects of the combat against the pandemic
247(2)
4 Decision support systems (DSS)
249(5)
5 Targeted public health interventions
254(1)
6 Epidemic modeling exploiting big data
255(2)
7 From information to information-based principles
257(1)
8 Conclusions
258(1)
Acknowledgments
259(1)
References
260(3)
16 Enabling Healthcare 4.0 applications development through a middleware platform 263(44)
Nader Mohamed
Jameela Al-Jaroodi
Eman AbuKhousa
1 Introduction
263(2)
2 Healthcare 4.0 background
265(2)
3 Healthcare 4.0 objectives and challenges
267(7)
4 Middleware Requirements to enable Healthcare 4.0
274(3)
5 H4WARE architecture
277(9)
6 Application scenario
286(5)
7 Prototype implementation and experiments
291(6)
8 Related work
297(2)
9 Conclusion and future directions
299(3)
References
302(5)
17 Healthcare 4.0 significance and benefits affirmed by the COVID-19 pandemic 307(24)
Jameela Al-Jaroodi
Nader Mohamed
1 Introduction
307(2)
2 Background and related work
309(4)
3 COVID-19-induced advances in healthcare systems
313(3)
4 Shortfalls of current healthcare systems
316(2)
5 The move to healthcare 4.0
318(3)
6 Discussion
321(3)
7 Conclusion
324(1)
References
325(6)
18 Improving the diagnostic accuracy using amplification and sequencing of the SARS-CoV-2 genome 331(20)
N. Marline Joys Kumari
Debnath Bhattacharyya
N. Thirupathi Rao
1 Introduction
331(7)
2 Related works
338(3)
3 Need of emerging digital health innovations
341(3)
4 The growth of healthcare-as-a-service (why patients want healthcare on their schedule)
344(1)
5 Healthcare that is foresighted: COVID-19 digital revolution
344(1)
6 Perceiving the horizon
345(1)
7 Novel coronaviruses: Using deep learning to combat the threat (COVID-19) pandemic
346(1)
8 Image-based diagnostic methods
347(1)
9 Limitations
348(1)
10 Conclusion
349(1)
References
349(2)
19 Telecardiology COVID-19 cryptographic system: Security reinforcement through metaheuristics and artificial neural networks 351(40)
Joydeep Dey
Anirban Bhowmik
Sunil Karforma
1 Introduction
351(5)
2 Related works
356(2)
3 Key challenges of COVID-19 telecardiology
358(1)
4 Our solution strategy
359(1)
5 Block diagram of the proposed technique
360(1)
6 Proposed methodology
360(6)
7 Result sections
366(19)
8 Conclusions
385(1)
9 Limitations and future scope of improvement
385(1)
Acknowledgment
385(1)
Research funding
386(1)
Availability of data and materials
386(1)
Ethics approval and consent to participate
386(1)
Consent for publication
386(1)
Competing interests
386(1)
References
386(5)
20 The use of digital technologies in the response to SARS-2 CoV2-19 in the public health sector 391(28)
Eali Stephen Neal Joshua
Debnath Bhattacharyya
N. Thirupathi Rao
1 Introduction
391(6)
2 Background information and concept of digital health
397(8)
3 Organizing and keeping track
405(1)
4 Infection screening is conducted
406(3)
5 Epidemiological monitoring in the digital age
409(1)
6 Decision-making aids based on data visualization
410(1)
7 Increasing the availability of digital data
410(2)
8 The dangers of digital technology
412(2)
9 Providing information to a new generation of information seekers
414(1)
10 The digital age is here to stay
415(1)
11 Conclusions
416(1)
References
417(2)
Index 419
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 Universitys Ranking of the World Scientists: Worlds Top 2% Scientists".

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. 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.
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