Resources

2 results for "retrieval-augmented generation"

Database Credentialed Access

EHR-DS-QA: A Synthetic QA Dataset Derived from Medical Discharge Summaries for Enhanced Medical Information Retrieval Systems

Konstantin Kotschenreuther

This dataset was designed and created to enable advancements in healthcare-focused large language models, particularly in the context of retrieval-augmented clinical question-answering capabilities. Developed using a self-constructed pipeline based …
mimic-iv clinical question-answering medical discharge summaries large language models
Published: Jan. 11, 2024. Version: 1.0.0
Database Credentialed Access

MIMIC-III-Ext-VeriFact-BHC: Labeled Propositions From Brief Hospital Course Summaries for Long-form Clinical Text Evaluation

Philip Chung, Akshay Swaminathan, Alex Goodell, et al.

The VeriFact-BHC dataset is designed to verify the factuality of long-form text written about a patient against their own electronic health record. There is increasing interest in using large language models (LLMs) to generate clinical text in patie…
natural language processing clinical informatics formal logic chart review text embedding artificial intelligence brief hospital course long-form text llm evaluation logical atomism retrieval-augmented generation text reranking clinical medicine atomic claim fact verification hybrid retrieval llm-as-a-judge large language models electronic health records clinical notes
Published: Aug. 27, 2026. Version: 1.1.0