Clinical Prompt Library
A governed, open-source library of reproducible prompt templates for Nurse Citizen Developers.
When executing high-risk clinical administration or generating complex synthetic data, ad-hoc prompting is insufficient. The Clinical Prompt Library provides heavily tested, peer-reviewed templates that ensure AI outputs are formatted correctly, clinically safe, and compliant with NHS guidelines.
The Problem with Ad-Hoc Clinical Prompting
If five different nurses prompt an AI to "summarize this patient handover," they will get five vastly different summaries. In a clinical environment, this lack of standardisation introduces unacceptable risk.
How to Use This Library
Each template in this library follows a strict structure (based on the GOV.UK AI lab framework):
- Clear Constraints: Defining what the AI must not do (e.g., "Do not infer diagnoses").
- Explicit Formatting: Demanding specific outputs (e.g., SBAR format, JSON structure).
- Safety Rails: Injecting mandatory disclaimers or escalations.
These principles mirror current (2026) best practice for agentic prompting: a good clinical prompt reads like a job description — role, goal, boundaries, definition of done — not a one-line question. New reasoning models (Claude Sonnet 5, Claude Opus 4.8, GPT-5.5, Gemini 3.5) handle the reasoning themselves, so the value you add is in constraints, examples, and verification.
Harden Templates in a Loop
No template is safe on the first draft. Every template here is refined through the Prompt Refinement Loop — Brief → Run → Critique → Refine → Verify — and re-tested against edge cases before it earns a place in the library.
Contributing
To ensure rigorous quality control, all new prompt templates must use our standard prompt-template.md.
Next: See the Clinical Prompt Template to structure your own.