The Clinician's AI Handbook

draft with AI, decide with judgment

AI can draft a discharge summary in seconds. It can also list a medicine that was held, record a patient's worry as a diagnosis, or soften a safety-net until it says nothing. The draft is cheap; your signature is not. This handbook is built on one rule: let AI draft, but check it against the patient before your name goes on it. It shows where your data boundary sits before you type, how to review an ambient scribe note, how to let the model interview you so the prompt fits the tool you have, how to turn your own notes into letters with a line-by-line medication check, how to meet a patient who asked a chatbot first, when decision support helps and when it gets in the way, how to report an AI problem and record which tool shaped care, how to keep agents away from the record, and how to measure a tool for 30 days before deciding to keep it. Printed templates, checklists and a measurement sheet are included. UK examples, with notes for readers elsewhere.

Inside this book

• Clinical documentation acceleration with safety rules
• Patient communication - clarity, empathy, and accuracy
• Decision support - when to use, when to avoid
• Privacy and consent in healthcare AI
• Implementation - training, governance, and evaluation
• Tool setup and guardrails - data boundaries, privacy, and audit trails
• Templates you can reuse - prompts, checklists, and scoring rubrics
• Measurement - track time saved and quality improvements over 30 days
• Working with AI-informed patients - meeting halfway on shared, verified understanding
• Guiding patients who use AI - teaching them to ask well, share safely, and check answers with you
• Consultative prompting - let the model interview you, so every prompt fits the model you are using

By Valentin Nagacevschi