AI for Healthcare
The administrative load in healthcare is enormous, and AI can lift some of it. Clinical judgment is a different matter entirely.
Where AI genuinely helps
Documentation drafts
Turning shorthand notes into structured letters or summaries, where approved tools are available, saves real time.
Patient-friendly explanations
Rewriting a discharge instruction or condition explainer at a lower reading age improves understanding — once a clinician has checked it.
Admin and scheduling communication
Templates for appointment reminders, rota messages and policy summaries are low-risk wins.
Literature orientation
Getting a quick overview of a topic before you read the actual papers — never as a replacement for them.
Where your judgment stays primary
No diagnosis or treatment decisions
General-purpose AI tools are not medical devices. They can sound authoritative while being wrong. Clinical decisions belong to qualified professionals.
Patient data protection
Never enter identifiable patient information into a tool your organisation hasn't approved for it. HIPAA, GDPR and local rules apply.
Check every clinical fact
Doses, contraindications and guidelines must be confirmed against current official sources.
Watch for bias
Models trained on skewed data can reproduce disparities in how symptoms are described or prioritised.
Bias and privacy in health AI are among the field's hardest questions. Read the ethics hub.
Prompts for healthcare
Fill in the brackets and paste into any AI tool. Want more? Try the Prompt Generator.
Plain-language patient leaflet
Rewrite the clinical information below for a patient with a reading age of about 11. Short sentences, no jargon, and a 'When to get help urgently' section. Keep every instruction exactly as stated — do not add medical advice. [paste text]
Referral letter structure
Turn these anonymised notes into a clear referral letter structure with headings: reason for referral, relevant history, current medication, what I'm asking for. Flag anything that looks missing. [paste notes]
Topic overview before reading
Give me a neutral overview of current thinking on [clinical topic]: the main questions, where evidence is strong, and where it's contested. Do not cite specific studies — I'll find the literature myself.
Staff policy summary
Summarise the policy below into a one-page staff briefing: what's changing, who it affects, what they must do, and by when. [paste policy]