This book provides a clinician-centered framework for maintaining documentation integrity when AI assists with clinical notes. Generative AI systems now draft substantial portions of the medical record, altering how documentation errors arise and how they propagate across encounters. Fluent narrative improves efficiency but introduces patient safety and accountability risks that differ from those associated with dictation or templated text.

The book fills a gap between technical discussions of healthcare AI and operational clinical practice. Existing resources focus on algorithms, governance, or ethics. This book focuses on patient safety, informatics workflows, signing responsibility, and defensible use at the point of care. It treats documentation as patient safety infrastructure first and a legal artifact second. The book explains how errors enter AI-assisted notes, why clinicians miss them under time pressure, and which verification and review controls reduce risk without slowing care.

This is an essential resource for practicing clinicians who sign medical records and leaders responsible for documentation quality.

Campion Quinn, MD, FACP, MHA, is a physician–educator and health-care leader whose career bridges clinical practice, academia, and medical innovation. Board-certified in four specialties and a Fellow of the American College of Physicians, he earned his MHA with a focus on health-care management and finance. As an adjunct clinical professor at the State University of New York, Downstate Medical College, Dr. Quinn has guided medical students through complex diagnostic and treatment challenges. He has authored numerous journal articles and textbooks on clinical decision-making, medicolegal issues, and health-system management, and has published three other books on the use of AI in medicine. In industry roles at Johnson & Johnson, Sanofi-Aventis, and DBV Pharmaceuticals, he built educational programs and forged partnerships with key opinion leaders. Dr. Quinn later served as Medical Director and Chief Medical Officer for managed-care organizations, including GHI, USI Care Management, and Vytra Healthcare. Today, he consults independently with pharmaceutical and medical-education firms. His forthcoming textbook, Generative AI for Medical Students, equips medical students with practical skills in generative AI, transforming tomorrow’s clinicians into confident, tech-savvy practitioners.