Generative AI for Healthcare

This book explores how generative AI is transforming the healthcare industry, enabling smarter decision-making, enhanced patient care, and improved operational efficiency. This book serves as your essential guide to understanding and applying these cutting-edge technologies, specifically designed for healthcare professionals seeking to navigate this evolving landscape. 

You will go through the core principles of generative AI, starting with foundational deep learning and neural network concepts and then progressing to practical applications for payers, providers, and health tech innovators. Readers will understand how payers can leverage AI, while providers will learn how AI can enhance medical imaging, generate synthetic patient data, and enable personalized treatment planning. Life sciences companies will discover AI’s role in accelerating drug discovery, powering diagnostics, and creating personalized health applications. This book addresses vital aspects of data management, including privacy and ethical considerations. Finally, you will look into future trends, such as AI-assisted surgery and personalized medicine, and learn the collaborative strategies necessary to integrate generative AI into modern healthcare.

By the end of this book, you will have understood how generative AI functions and how it can be applied across the healthcare sector, empowering you to confidently contribute to and lead the next wave of innovation in patient care and medical technology.

WHAT YOU WILL LEARN
● Understand generative AI fundamentals and its role in healthcare.
● Apply AI for fraud detection, risk assessment, and efficiency.
● Leverage AI to enhance imaging, diagnostics, and patient care.
● Navigate data challenges, compliance, and ethical AI concerns.
● Implement AI strategies for payers, providers, and life sciences.
● Explore future AI trends and innovations in healthcare. 
● Build AI wellness apps, understand HIPAA/GDPR, and prepare for AI's future.

WHO THIS BOOK IS FOR
This book is for healthcare professionals, technology leaders, and business executives looking to understand and implement generative AI in healthcare. A basic understanding of healthcare operations, data management, or AI concepts is helpful but not required.

1. Introduction to Generative AI in Healthcare
2. Generative AI for Healthcare Professionals
3. Generative AI for Payers
4. Generative AI for Providers
5. Generative AI for Health Tech Companies
6. Data Considerations for Generative AI in Healthcare
7. Ethical and Regulatory Considerations
8. Future Outlook and Opportunities
9. Towards a Generative AI-Driven Healthcare

Laks Sundararajan is a seasoned technology leader specializing in AI, data strategy, and healthcare innovation. As an Industry Solutions Architect, he collaborates with Fortune 500 healthcare payers and providers to drive large- scale AI transformations, optimize patient outcomes, and enhance enterprise data strategies. With deep expertise in data monetization, AI governance, and generative AI scaling, he has led numerous high-impact initiatives modernizing payer operations and accelerating cloud adoption.

He holds a patent in machine learning-driven automated attribute mapping, advancing interoperability across healthcare systems. His extensive career spans leadership roles at AWS, Evernorth (Cigna), and Mindtree, where he has influenced enterprise architecture, regulatory compliance, and AI-driven healthcare solutions. Laks holds AWS Certified Solutions Architect Professional and Data Analytics Specialty Certifications, and he was an IBM Champion for Social Business for four consecutive years.

With a strong background in enterprise AI adoption, regulatory compliance, and healthcare data governance, Laks brings a unique blend of technical expertise and strategic vision. His work continues to shape the future of AI in healthcare, making him a key thought leader in the industry.

Gokhul Srinivasan is a seasoned technology leader with over two decades of experience in cloud adoption, service transformation, and digital architecture. As a Senior Partner Solutions Architect at AWS, he helps organizations leverage cloud, machine learning, and generative AI to drive impactful business transformation. With deep expertise in DevOps, delivery management, and agile methodologies, he has been instrumental in modernizing enterprise IT infrastructures and scaling digital solutions.

Before joining AWS, Gokhul played a pivotal role in leading digital architecture initiatives across multiple healthcare plans as a Principal Architect and Center of Excellence lead at Cognizant. His expertise in cloud modernization, business process improvements, and service transformation helped healthcare organizations transition to secure, resilient, and future-ready technology landscapes.

He holds several industry-recognized certifications from TOGAF 9, AHM, AWS, and Microsoft, underscoring his deep knowledge of enterprise architecture and cloud technologies. He also earned an Executive Certificate in Management from the University of Virginia, further enhancing his strategic business acumen.

Passionate about leveraging emerging technologies to create real-world impact, Gokhul continues to shape the future of digital transformation through thought leadership and innovation. His insights and expertise make him a trusted advisor in the industry, guiding enterprises toward a more agile, intelligent, and cloud- native future.