Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare.

Authors Kerrie Holley, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare.

With this book, you will:

• Understand the promise and challenges of LLMs in healthcare
• Learn the inner workings of LLMs and generative AI
• Explore automation of healthcare use cases for improved operations and patient care using LLMs
• Dive into patient experiences and clinical decision-making using generative AI
• Review future applications in pharmaceutical R&D, public health, and genomics
• Understand ethical considerations and responsible development of LLMs in healthcare
• "The authors illustrate generative's impact on drug development, presenting real-world examples of its ability to accelerate processes and improve outcomes across the pharmaceutical industry." --Harsh Pandey, VP, Data Analytics & Business Insights, Medidata-Dassault
• Kerrie Holley is a retired Google tech executive, IBM Fellow, and VP/CTO at Cisco. Holley's extensive experience includes serving as the first Technology Fellow at United Health Group (UHG), Optum, where he focused on advancing and applying AI, deep learning, and natural language processing in healthcare.
• Manish Mathur brings over two decades of expertise at the crossroads of healthcare and technology. A former executive at Google and Johnson & Johnson, he now serves as an independent consultant and advisor. He guides payers, providers, and life sciences companies in crafting cutting-edge healthcare solutions.

Table of Contents

Chapter 1. Doctor's Black Bag

Chapter 2. Peeking Inside the Al Black Box

Chapter 3. Beyond White Coats

Chapter 4. LLM and Generative Al's Patient and Clinical Potential

Chapter 5. LLMs in Pharmaceutical R&D, Public Health, and Beyond

Chapter 6. Steering the Helm for Ethical Use of LLMs

Chapter 7. Objects Are Closer Than They Appear

About the Authors

Kerrie Holley's illustrious career in technology spans from the era of punch cards to today's AI-driven landscape. He has been a pioneering leader through every major computing paradigm: mainframe, client-server, Internet, mobile, cloud, and now AI with LLMs and Generative AI. In recognition of his sustained contributions, Kerrie was inducted into the National Academy of Engineering in 2023. As IBM's first Black Distinguished Engineer and later an IBM Fellow, Kerrie broke barriers and set new standards in the tech industry. His executive roles include positions as a Google tech executive, VP, and CTO at Cisco. He serves on multiple boards, has authored books, delivered tech talks, and provides expert consultation. In healthcare technology, Kerrie led the development of a high-performance engineering team for one of the largest US healthcare companies. This diverse team of software engineers, PhDs, scientists, AI specialists, data scientists, and DevOps engineers focused on incubating and applying cutting-edge technologies to transform healthcare delivery and outcomes. Kerrie's work continues to shape the intersection of technology and healthcare, driving innovation and improving lives through advanced computing solutions.

Manish Mathur is a seasoned professional with over 25 years of experience in the intersection of healthcare and technology. In his current role as a Senior Principal Architect at Google, he advises payers, providers, and life sciences customers on how to leverage Google's state-of-the-art AI technologies to solve their complex business problems and build new business models.

Prior to joining Google, Manish was with Johnson & Johnson, where he led a global team of data, analytics, and AI professionals. Their collective efforts were dedicated to tackling intricate obstacles pertaining to drug discovery and commercialization, challenges that are commonly encountered by prominent pharmaceutical corporations on a global scale.

At Walgreens, Manish spearheaded the creation of a sophisticated technological solution aimed at seamlessly integrating healthcare management within the accessible and convenient framework of retail environments.

Manish's earlier professional experiences encompass significant roles at institutions such as the American Medical Association and Deloitte Consulting.

Manish is a recognized expert in the field of healthcare technology and has published extensively on the topic. He is a frequent speaker at industry events and is a member of several professional organizations. Manish is passionate about using technology to improve the quality of healthcare and is committed to helping organizations leverage AI to solve their most pressing challenges.

Manish received his Bachelorâ??s degree in Electrical Engineering from Jadavpur University, Kolkotta and Masters in International Business from Delhi School of Economics in India and MBA from University of Hartford, CT