Generative AI

Unlocking the Next Chapter in Healthcare

Rohit Mahajan, Ritu M. Uberoy

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Paperback

Forthcoming
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English

Taylor & Francis Ltd
17 November 2025

Management: leadership & motivation; Research & development management; Public ownership & nationalisation; Health systems & services; Artificial intelligence

From algorithms that draft clinical notes in seconds to autonomous agents that triage emergency room backlogs, artificial intelligence is quietly reshaping every facet of healthcare. Generative AI: Unlocking the Next Chapter in Healthcare is the first comprehensive guide to this revolution—charting how we got here, what’s working now, and where the technology could take us next.

Drawing on frontline case studies from leading health systems, biotech labs, and tech giants, the book reveals how large language models, synthetic data engines, and multi agent ecosystems are boosting diagnostic accuracy, accelerating drug discovery, and personalizing patient engagement. It also confronts the hard questions—privacy, bias, liability, and the fear of “machines taking over”—offering clear, actionable frameworks for ethical, human centered deployment.

Written for clinicians, executives, innovators, and policy makers and patients alike, this definitive volume distils the expertise of industry pioneers into an accessible roadmap. You’ll explore:

• The evolution from early machine learning to today’s generative powerhouses

• Real world wins—ambient documentation, AI assisted radiology, virtual nursing, and more

• The players shaping the landscape: Epic, Google, Microsoft, NVIDIA, Salesforce, and a wave of insurgent startups

• Guardrails that preserve trust, protect privacy, and keep humans in the loop

• Bold yet plausible futures—from digital twin medicine to globe-spanning agent networks

Whether you’re leading a hospital, building health tech solutions, a tech startup, or simply curious about the future of care, Generative AI: Unlocking the Next Chapter in Healthcare delivers the insight, inspiration, and practical guidance you need to thrive in the era where human empathy and machine intelligence work side by side.

By: Rohit Mahajan, Ritu M. Uberoy
Imprint: Taylor & Francis Ltd
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm,
ISBN: 9781041125679
ISBN 10: 1041125674
Pages: 176
Publication Date: 17 November 2025
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Forthcoming

Acknowledgements. Foreword. Preface. Introduction. Chapter 1 - Evolution of AI in Healthcare: From ML to LLMs. Chapter 2 - Current Landscape of GAI in Healthcare. Chapter 3 - Future Directions and Innovations. Chapter 4 - Key Players and Startup Opportunities. Chapter 5 - Privacy and Ethical Considerations. Chapter 6 - Challenges in GAI Implementation. Chapter 7 - Integration of GAI into Medical Practice. Chapter 8 - Impact on Healthcare Delivery. Chapter 9 - GAI in Medical Research and Drug Discovery. Chapter 10 - AI Agents Unlocking the Future of Gen AI for Healthcare. Chapter 11 - Where We Stand and Where We Dare to Go. About the Authors

Rohit Mahajan is a digital health entrepreneur and author of the #1 Amazon bestseller Quantum Care: A Deep Dive into AI for Health Delivery and Research. He is the CEO of BigRio and Damo and the Founder of Saviance Technologies. Rohit co-hosts The Big Unlock podcast and was honored with the 2025 GHLF Global Impact Award for Digital Health Innovation. A Wharton Fellow and HBS graduate, he has completed advanced AI and healthcare programs from MIT and Harvard. His work focuses on using technology to drive compassionate, equitable, and impactful healthcare transformation. Ritu M. Uberoy is a technology executive, entrepreneur, and educator with 25+ years of experience in digital transformation across healthcare and life sciences. She leads the Generative AI Center of Excellence at BigRio and the DigiMTM initiative at Damo Consulting. Ritu hosts The Big Unlock podcast and regularly conducts GenAI workshops for healthcare leaders. She holds degrees from NSIT and Santa Clara University and has completed executive programs at Harvard, MIT, and Wharton. Her forthcoming book offers senior healthcare and pharma executives a practical roadmap to implementing generative AI.