Towards Automatically Filling Questionnaires from Clinical Records with Large Language Models

The use of large language models in healthcare is rapidly growing. In this work, we are interested in analyzing the capabilities of large language models in filling questionnaires related to clinical practices, where the information needed to answer each specific question is contained in the clinical records of a given patient. We present preliminary experiments on a publicly available dataset in the English language, with very promising results that show the great potential of the approach and motivate further research in this challenging direction.

Publication Details

Journal
Utrecht University Repository (Utrecht University)
Published
2024-12-20
Primary Topic
X-ray Diffraction in Crystallography
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article
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article

Towards Automatically Filling Questionnaires from Clinical Records with Large Language Models

Utrecht University Repository (Utrecht University)
X-ray Diffraction in Crystallography
article

Towards Automatically Filling Questionnaires from Clinical Records with Large Language Models

article en

Abstract

The use of large language models in healthcare is rapidly growing. In this work, we are interested in analyzing the capabilities of large language models in filling questionnaires related to clinical practices, where the information needed to answer each specific question is contained in the clinical records of a given patient. We present preliminary experiments on a publicly available dataset in the English language, with very promising results that show the great potential of the approach and motivate further research in this challenging direction.

Utrecht University Repository (Utrecht University)
Quality Education
Openalex Percentile: Top 68%
X-ray Diffraction in Crystallography
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Towards Automatically Filling Questionnaires from Clinical Records with Large Language Models · Utrecht University Repository (Utrecht University) (2024) | TGRS Research Map | TGRS