Digital Transformation and Equitable Global Health - A Future-Ready Perspective

Digital Transformation and Equitable Global Health: A Future-Ready Perspective presents a collective body of knowledge and global experiences that demonstrate current status and future trends in the use of exponential technologies and their potential for poverty reduction, improving health outcomes, strengthening health systems, and transforming traditional development aid structures. The book uses a translational innovation perspective to guide the reader-regardless of their area of expertise-on the rationale behind the co-creation of human-centered, affordable, and sustainable digital solutions.

It addresses the interest of professionals from multiple areas (e.g., technology, health, social development, global financing), and it is a valuable resource for professionals, social scientists, practitioners, researchers, instructors, and undergraduate and graduate students interested in understanding the challenges and complexities of global public health and the applied uses of health technologies for equitable access to primary health care and universal health coverage.

List of contents

1. Setting the stage
2. Demographic changes and social determinants of health that influence the adoption and meaningful use of exponential technologies
3. The disruption of exponential technologies and how they will shape the future of health
4. Opportunities and challenges for the transformative change of national health systems
5. Global initiatives¿and¿their impact on regional and national adoption of exponential technologies
6. Financing exponential technologies for equitable health and development
7. Reimagining future-ready frameworks to catalyze transformative change in health systems

Product details

• Assisted by: Arletty Pinel (Editor), Renato Sabbatini (Editor), Víctor López Cabrera (Editor)
• Publisher: Elsevier
• Languages: English
• Product format: Paperback / Softback
• Release: 01.12.2025
• EAN: 9780443214981
• ISBN: 978-0-443-21498-1
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; SCIENCE / Life Sciences / General, Artificial Intelligence, Business and Management, COMPUTERS / Information Theory, SCIENCE / Life Sciences / Biology, COMPUTERS / Management Information Systems, COMPUTERS / Information Technology, MATHEMATICS / Discrete Mathematics, COMPUTERS / Programming / Algorithms, algorithms and data structures, Biology, life sciences, Life sciences: general issues, Discrete Mathematics, Enterprise Software, Algorithms & data structures, Expert systems / knowledge-based systems, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Expert Systems