AI and Patient Confidentiality: What Must Never Be Pasted Into a Chatbot

Every day, healthcare professionals paste patient notes, lab results, and appointment details into general-purpose chatbots without a second thought. The convenience is seductive — instant summaries, draft letters, quick explanations — but the cost can be catastrophic. This book is a clear-eyed, practical guide to what you must never, ever paste, and why. Drawing on data protection law, professional ethics, and real-world breach scenarios (without naming victims or vendors), it explains how AI models retain input, how de-identification fails, and where your duty of care overrides any productivity gain. You will learn to distinguish between tools that respect confidentiality and those that do not; to write a workplace policy that actually protects patients; and to respond swiftly if a leak occurs. Written for busy clinicians, allied health professionals, and practice managers who need actionable guidance, not hype. No invented case studies, no out-of-date tips. Just the durable skills: brief well, verify thoroughly, and know when the machine must be ignored. Part of The AI at Work Library.

About the author

Anika Rao Bishop writes for The AI at Work Library.

© 2026 PublishDrive (E-bog): 6610001416768

Udgivelsesdato

E-bog: 1. oktober 2026