An automated information extraction model for unstructured discharge letters using large language models and GPT-4

An automated information extraction model for unstructured discharge letters using large language models and GPT-4

The administrative burden of manually extracting clinical information from discharge letters is a common challenge in healthcare. This study aims to explore the use of Large Language Models (LLMs), specifically Generative Pretrained Transformer 4 (GPT-4) by OpenAI, for automated extraction of diagno...

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Bibliographic Details
Main Authors: Robert M. Siepmann, Giulia Baldini, Cynthia S. Schmidt, Daniel Truhn, Gustav Anton Müller-Franzes, Amin Dada, Jens Kleesiek, Felix Nensa, René Hosch
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Healthcare Analytics
Subjects:
Large language models
Automated information extraction
Artificial intelligence
Generative pre-trained transformer (GPT)
ChatGPT
Discharge letters
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442524000807
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http://www.sciencedirect.com/science/article/pii/S2772442524000807

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