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Experiments in Automated Generation of Discharge Summaries in Italian

Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024

DOI:10.63317/4uyhz4idjvkh

Abstract

Hospital discharge letters are a fundamental component of patient management, as they provide the crucial information needed for patient post-hospital care. However their creation is very demanding and resource intensive, as it requires consultation of several reports documenting the patient’s journey throughout their hospital stay. Given the increasing pressures on doctor’s time, tools that can draft a reasonable discharge summary, to be then reviewed and finalized by the experts, would be welcome. In this paper we present a comparative study exploring the possibility of automatic generation of discharge summaries within the context of an hospital in an Italian-speaking region and discuss quantitative and qualitative results. Despite some shortcomings, the obtained results show that a generic generative system such as ChatGPT is capable of producing discharge summaries which are relatively close to the human generated ones, even in Italian.

Details

Paper ID
lrec2024-ws-cl4health-17
Pages
pp. 137-144
BibKey
ruinelli-etal-2024-experiments
Editor
N/A
Publisher
European Language Resources Association (ELRA) and ICCL
ISSN
N/A
ISBN
N/A
Workshop
Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024
Location
undefined, undefined
Date
20 May 2024 25 May 2024

Authors

  • LR

    Lorenzo Ruinelli

  • AC

    Amos Colombo

  • MR

    Mathilde Rochat

  • SP

    Sotirios Georgios Popeskou

  • AF

    Andrea Franchini

  • SM

    Sandra Mitrović

  • OL

    Oscar William Lithgow

  • JC

    Joseph Cornelius

  • FR

    Fabio Rinaldi

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