@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.",
}

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.
Ruinelli, Lorenzo Colombo, Amos Rochat, Mathilde Popeskou, Sotirios Georgios Franchini, Andrea Mitrovi{\'c}, S ra Lithgow, Oscar William Cornelius, Joseph Rinaldi, Fabio
Experiments in Automated Generation of Discharge Summaries in Italian