Healthcare Transformation using Artificial Intelligence

by Robert JT Morris

Overview

Healthcare Transformation Using Artificial Intelligence provides insights into executing healthcare transformation through AI, and deploying health technology at scale. It focuses on improving patient outcomes while managing costs, highlighting selected use of AI and contrasting it with a "tech push" approach. Through interactions with leading clinicians and healthcare administrators, this book presents the most urgent challenges facing patients, such as lifestyle, self-empowerment, adherence, knowledge, and behavior change, and clinicians, including information overload, time scarcity, rapidly changing guidelines, care quality, and administrative burdens.The book explains recent AI breakthroughs and critically evaluates their promise, showing how AI can be successfully deployed to address these challenges. Real deployments, scaling, and evidence-gathering illustrate the best bets for AI in healthcare. Innovation is moving fast, but patient safety, clinical trials, and regulatory approvals ensure appropriate adoption. This resource is valuable for health professionals, scientists, researchers, practitioners, and students wishing to expand their knowledge in this field. - Chronicles the healthcare system's problems, along with the most promising transformational AI techniques that can be used - Describes data science and AI technologies and why or when they work, including examples and references - Gives simple and understandable descriptions, in each application area, of how the technologies actually work - Includes examples and case studies of applying AI to achieve better patient outcomes while lowering costs

Product Details

ISBN-13:	9780443289705
Publisher:	Elsevier Science & Technology Books
Publication date:	07/25/2025
Sold by:	Barnes & Noble
Format:	eBook
Pages:	160
File size:	60 MB
Note:	This product may take a few minutes to download.

About the Author

Dr. Robert JT Morris is Chief Data Officer and Chief Technology Strategist for the Ministry of Health Office for Healthcare Transformation (MOHT) in Singapore, and currently Professor, National University of Singapore, Yong Loo Lin School of Medicine. His current focus is on the application of computer and information sciences, including AI, to transform healthcare. Robert was head of all Global Labs for IBM Research until 2017. He was Chairman, Bay Area Science and Innovation Consortium (BASIC), comprising heads of major research institutions in Silicon Valley. He has published over 100 scientific articles and been awarded 14 patents, was Editor IEEE Transactions on Computers, received the Australian American Fulbright and Gowrie Fellowships, PICMET Leadership in Technology Management Award, Fellow IEEE, IBM Academy of Technology, Government University Industry Research Roundtable (US National Academies).

Table of Contents

1. Introduction2. The healthcare enterprise and its most pressing current clinical and operational challenges3. The challenges of the healthcare business model, and how AI could help:4. The greatest burden of disease and cost-drivers: chronic diseases and their complications. How AI could result in a leap5. Use-case Area 1 - Medical Imaging: the vanguard of AI in Healthcare6. Use-case Area 2 - Lifestyle changes: the biggest lever7. Use-case Area 3 - Mental Health as a compelling area for hybrid AI approaches:8. Use-case Area 4 - Aging:9. Generative AI, its promises and perils, and why we are just at the beginning:10. The key to successful AI breakthroughs and scalable deployment: Data11. How AI should be delivered and barriers to adoption:12. Safety, Regulation and Ethics13. How AI can transform care in emerging economies:14. Conclusions Appendix: A basic tutorial and set of references on AI techniques.

What People are Saying About This

From the Publisher

Explains recent Artificial Intelligence breakthroughs in healthcare, critically evaluating technologies and showing how AI can be deployed to alleviate challenges