@inproceedings{ruinelli-etal-2024-experiments,
title = "Experiments in Automated Generation of Discharge Summaries in {I}talian",
author = "Ruinelli, Lorenzo and
Colombo, Amos and
Rochat, Mathilde and
Popeskou, Sotirios Georgios and
Franchini, Andrea and
Mitrovi{\'c}, Sandra and
Lithgow, Oscar William and
Cornelius, Joseph and
Rinaldi, Fabio",
editor = "Demner-Fushman, Dina and
Ananiadou, Sophia and
Thompson, Paul and
Ondov, Brian",
booktitle = "Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.cl4health-1.17",
pages = "137--144",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Experiments in Automated Generation of Discharge Summaries in Italian
%A Ruinelli, Lorenzo
%A Colombo, Amos
%A Rochat, Mathilde
%A Popeskou, Sotirios Georgios
%A Franchini, Andrea
%A Mitrović, Sandra
%A Lithgow, Oscar William
%A Cornelius, Joseph
%A Rinaldi, Fabio
%Y Demner-Fushman, Dina
%Y Ananiadou, Sophia
%Y Thompson, Paul
%Y Ondov, Brian
%S Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F ruinelli-etal-2024-experiments
%X 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.
%U https://aclanthology.org/2024.cl4health-1.17
%P 137-144
Markdown (Informal)
[Experiments in Automated Generation of Discharge Summaries in Italian](https://aclanthology.org/2024.cl4health-1.17) (Ruinelli et al., CL4Health-WS 2024)
ACL
- Lorenzo Ruinelli, Amos Colombo, Mathilde Rochat, Sotirios Georgios Popeskou, Andrea Franchini, Sandra Mitrović, Oscar William Lithgow, Joseph Cornelius, and Fabio Rinaldi. 2024. Experiments in Automated Generation of Discharge Summaries in Italian. In Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024, pages 137–144, Torino, Italia. ELRA and ICCL.