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

Discusses how information technologies applied to the healthcare sector can provide efficient solutions to real and urgent problems

Patricia Ordonez de Pablos (Edited by), Kwok Tai Chui (Edited by), Miltiadis D. Lytras (Edited by)

9780128213186

Paperback, published 16 March 2022

456 pages, Approx. 100 illustrations
23.4 x 19 x 2.9 cm, 0.95 kg

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.

1. Social dimensions and preconditions of digitalization in healthcare: Implications of the COVID-19 syndemic2. Digital Innovation for Healthcare in COVID-19 Pandemic3. A digital health ecosystem for Africa during the Covid-19 pandemic4. Doctor New perspectives on telemedicine for women during the COVID pandemic5. Implementing Virtual Patient Rooming during Telemedicine Visits6. Embracing Digital Technologies In The Healthcare Setting7. Impact of COVID-19 on the Adoption of Digital Pathology8. The COVID-19 pandemic in an interdependent world: Digital health as a tool for equity and gender empowerment9. The Study of the Dilemma on the Control of Covid-19 Spread and Face-To-Face Learning and Its Trade-Off Solutions10. Digital tools for direct and indirect citizen empowerment: The retaliatory response against Covid - 19 in India11. Continuum of Care through Patient Relationship Management Approach in Indian Public Healthcare System' 12. Using Machine Learning Methods to Understand COVID-19 Inpatient Medical Health Records in a US Hospital System13. Geospatial analysis of COVID-19 distribution and its relation to public transportation services14. M-Health System for cardiac and COVID patient monitoring using Body Sensor Networks and Machine Learning15. Pandemic-driven innovations contribute to the development of information-based medicine16. Enabling Healthcare 4.0 Applications Development Through a Middleware Platform17. Healthcare 4.0 Significance and Benefits Affirmed by the COVID-19 Pandemic18. Improving the diagnostic accuracy using Amplification and sequencing of the SARS-CoV-2 genome19. Telecardiology COVID-19 Cryptographic System: Security Reinforcement Through Metaheuristics and Artificial Neural Networks 20. The use of digital technologies in the response to SARS-2 CoV2-19 in the public health sector

Subject Areas: Personal & public health [MBNH], Biotechnology industries [KNDH1]