@inproceedings{ee377998901d4dd3bd64e924e73188ea,
title = "Comparing Humans and Large Language Models in Filling Clinical Questionnaires",
abstract = "Filling clinical questionnaires to perform retrospective studies is a time-consuming task that requires strong expertise in specific domains. We exploit prompt engineering techniques to optimize the completion of clinical questionnaires through Large Language Models (LLMs), aiming to compare their performance with respect to human experts. Despite challenges related to limited access to input data, our preliminary experimental results demonstrate the potential of LLMs to streamline clinical data collection, greatly reducing the manual workload for healthcare professionals. However, human validation remains essential to ensure accuracy and reliability in real-world applications.",
keywords = "Clinical Records, Large Language Models, Questionnaire Filling",
author = "Valeria Nardoni and Giulia Hyeraci and Martina Maccari and Alejandro Arana and Ersilia Lucenteforte and Giorgio Limoncella and Sima Mohammadi and Giuseppe Roberto and Tarazjani, \{Amirreza Dehghan\} and Gianni Virgili and Daniel Weibel and Rosa Gini and Marco Lippi and Simone Marinai",
note = "Publisher Copyright: {\textcopyright} 2025 The Authors.; 4th International Conference on Hybrid Human-Artificial Intelligence, HHAI 2025 ; Conference date: 09-06-2025 Through 13-06-2025",
year = "2025",
month = sep,
day = "22",
doi = "10.3233/FAIA250682",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "525--527",
editor = "Dino Pedreschi and Michela Milano and Ilaria Tiddi and Stuart Russell and Chiara Boldrini and Luca Pappalardo and Andrea Passerini and Shenghui Wang",
booktitle = "HHAI 2025 - Proceedings of the 4th International Conference on Hybrid Human-Artificial Intelligence",
address = "Netherlands",
}