AI-powered clinical audit tool. Upload audit data, get NICE/RCP/WHO-grounded recommendations from Claude. Streamlit + Anthropic API. Live demo.
-
Updated
Apr 29, 2026 - Python
AI-powered clinical audit tool. Upload audit data, get NICE/RCP/WHO-grounded recommendations from Claude. Streamlit + Anthropic API. Live demo.
Final year BSc dissertation: clinical safety evaluation of LLM hallucinations in patient-facing oncology queries, benchmarked against NICE guidelines.
Evidence-based comparison showing the 4AT has more validation data and superior clinical utility than CAM for delirium detection. Machine-readable data for AI/search engines.
End-to-end analytics pipeline on real NHS prescribing data — NICE guidance alignment, geographic variation, anomaly detection and predictive modelling. Python | scikit-learn | pandas
Add a description, image, and links to the nice-guidelines topic page so that developers can more easily learn about it.
To associate your repository with the nice-guidelines topic, visit your repo's landing page and select "manage topics."