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.

Product Details

ISBN-13:	9780443289699
Publisher:	Elsevier Science
Publication date:	07/25/2025
Pages:	260
Product dimensions:	7.50(w) x 9.25(h) x (d)

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. Introduction
2. The healthcare enterprise and its most pressing current clinical and operational challenges
3. 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 leap
5. Use-case Area 1 - Medical Imaging: the vanguard of AI in Healthcare
6. Use-case Area 2 - Lifestyle changes: the biggest lever
7. 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: Data
11. How AI should be delivered and barriers to adoption:
12. Safety, Regulation and Ethics
13. How AI can transform care in emerging economies:
14. Conclusions Appendix: A basic tutorial and set of references on AI techniques.

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From the Publisher

Explains recent Artificial Intelligence breakthroughs, critically evaluates the promise and shows how it can be selectively and successfully deployed to alleviate challenges