discharge-summaries

Implementation and demo of explainable coding of clinical notes with Hierarchical Label-wise Attention Networks (HLAN)

Rare disease identification from free-text clinical notes with ontologies and weak supervision

A proof-of-concept ED discharge instruction generator using retrieval-augmented generation

Clinical Discharge PDF Engine is a backend-focused .NET project that generates hospital discharge summary PDFs using IronPDF and QuestPDF. It compares both libraries with real-world healthcare data, benchmarking performance, memory usage, and layout accuracy in a reproducible way.

This dashboard provides an overview of hospital discharges, highlighting patient volume, average daily discharge rates, length of stay, and discharge patterns by age, gender, day, rural status, and admission type. It helps identify key trends and better understand patient discharge patterns.