Healthcare Informatics Innovation Post Covid-19 Pandemic

List of contents

1. Healthcare Informatics Innovation Post-COVID-19: Lessons, Challenges, and Opportunities 2. Lessons Learned: COVID-19 and the Future of Healthcare Informatics 3. Telehealth Revolution: Bridging the Digital Divide 4. Artificial Intelligence in Post-Pandemic Healthcare 5. Navigating Post-Pandemic Mental Health Challenges: Unleashing the Potential of Artificial Intelligence 6. Leveraging Digital Health Technologies in Healthcare Teams: A Discussion of Policy and Practice in Canada 7. How Data-Driven Insights Can Improve Patient Outcomes, Public Health Strategies, and Decision-Making 8. Genomics and Personalized Medicine: An Insight from The Healthcare Perspective 9. Preferences and Selection of Vaccines by Health Consumers 10. Innovation Management Practices in Kazakhstan's Healthcare Sector 11. Advancing Healthcare Informatics in Fluorescence Microscopy Using Computational Imaging Techniques 12. Global Healthcare Informatics - Structural Considerations and Workforce Training Challenges and Solutions 13. Ethics, Privacy, and Security in Healthcare Informatics 14. Cybersecurity Challenges in Healthcare Informatics 15. Impact of Cybersecurity and Artificial Intelligence in Healthcare Operations 16. Healthcare Cyberattacks Over the 2014-2023 Period: Trends, Lessons Learned, and Potential Paths Forward 17. Intelligent Transportation System for Healthcare Improvement 18. COVID-19: Predicting Daily Caseload and Mortality during Multiple Waves of the Epidemic in Different Countries

Product details

• Authors: Philip Vajjhala Eappen
• Assisted by: Philip Eappen (Editor), Narasimha Rao Vajjhala (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Release: 17.06.2025, delayed
• EAN: 9781032779690
• ISBN: 978-1-0-3277969-0
• No. of pages: 286
• Subjects: Natural sciences, medicine, IT, technology > Medicine > General; Social sciences, law, business > Business > General, dictionaries; Software Engineering, Data Mining, Epidemiology & medical statistics, Artificial Intelligence, Operating systems, Health systems & services, Public ownership / nationalization, COMPUTERS / Artificial Intelligence / General, Health systems and services, Epidemiology and Medical statistics, COMPUTERS / Data Science / Data Analytics, MEDICAL / Informatics, smart healthcare;data analytics;healthcare ethics