GENERATIVE AI IN CLINICAL PRACTICE

Generative AI in Clinical Practice: A Physician's Guide to Transforming Medicine, is a practical guide for clinicians who want to understand and apply generative AI in everyday care. Designed for readers without a background in computer science, the book explains how large language models and related tools are being integrated into clinical workflows, with clarity, realism, and clinical relevance.

You'll explore how generative AI is already supporting tasks like ambient documentation, diagnostic reasoning, patient education, and care coordination. Each chapter combines clinical vignettes, implementation strategies, and curated examples from frontline practice to show what works, and what to watch out for.

The book also addresses critical issues of ethics, bias, regulation, and physician oversight. Rather than offering abstract predictions, it provides grounded, actionable guidance for safely using AI at the point of care.

Whether you are a physician, nurse, or healthcare executive, this book will help you make informed decisions about AI adoption. It will also give you the language and insight needed to lead conversations about these emerging tools within your organization. Clear-eyed and practical, this guide is written to help clinicians gain confidence, not just in the technology, but in how to use it wisely.

Contents:

• Generative AI Arrives in Clinical Medicine
• Data and Algorithms — From Raw Inputs to Actionable Results
• Check Your Understanding: Chapter 2 Quiz
• Prompt Craft for Conversational Artificial Intelligence
• Integrating AI into the Clinical Workflow
• Generative AI in Specialty Practice — Clinical Vignettes
• Risks, Biases, and Regulatory Guardrails
• Is It Worth It? Measuring the Value of AI in Clinical Practice
• Building the Implementation Road Map
• Skills for the Next Five Years
• Prompt Library and Quick Reference Tools

Readership: This book is designed for clinicians across specialties — including internal medicine, emergency medicine, oncology, radiology, and nursing — as well as medical educators, hospital leaders, and digital health teams. It serves both academic and industry audiences preparing for AI integration in healthcare.