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Towards Automatically Filling Questionnaires from Clinical Records with Large Language Models

  • Valeria Nardoni
  • , Marco Lippi*
  • , Giulia Hyeraci
  • , Martina Maccari
  • , Amirreza Dehghan Tarazjani
  • , Gianni Virgili
  • , Rosa Gini
  • , Simone Marinai
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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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.

Original languageEnglish
Number of pages6
JournalCEUR Workshop Proceedings
Volume3877
Publication statusPublished - 20 Dec 2024
Event8th Workshop on Natural Language for Artificial Intelligence, NL4AI 2024 - Bolzano, Italy
Duration: 25 Nov 202428 Nov 2024

Keywords

  • clinical records
  • Large language models
  • prompt engineering
  • questionnaire filling

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