EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Discharge summaries in Electronic Health Records (EHRs) are crucial for clinical decision-making, but their length and complexity make information extraction challenging, especially when dealing with accumulated summaries across multiple patient admissions. Large Language Models (LLMs) show promise...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2024-11
Hauptverfasser:	Kweon, Sunjun, Kim, Jiyoun, Kwak, Heeyoung, Cha, Dongchul, Yoon, Hangyul, Kim, Kwanghyun, Yang, Jeewon, Won, Seunghyun, Choi, Edward
Format:	Artikel
Sprache:	eng
Schlagworte:	Benchmarks Datasets Electronic health records Environment models Large language models Questions
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!