Chat-GPT in triage: Still far from surpassing human expertise - An observational study.

Journal: The American journal of emergency medicine
PMID: 40120387

Abstract

BACKGROUND: Triage is essential in emergency departments (EDs) to prioritize patient care based on clinical urgency. Recent investigations have explored the role of large language models (LLMs) in triage, but their effectiveness compared to human triage remains uncertain. This study assessed the effectiveness of ChatGPT 4.0 in triaging ED patients.

Authors

  • Arian Zaboli
    Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy. Electronic address: zaboliarian@gmail.com.
  • Francesco Brigo
    Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy.
  • Gloria Brigiari
    Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy.
  • Magdalena Massar
    Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy.
  • Marta Parodi
    Department of Internal Medicine, Intermediate Care Unit, Hospital Alto Vicentino (AULSS-7), Santorso, Italy.
  • Norbert Pfeifer
    Department of Emergency Medicine, Hospital of Merano-Meran (SABES-ASDAA), Merano-Meran, Italy; Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversität, Salzburg, Austria.
  • Gabriele Magnarelli
    Department of Emergency Medicine, Hospital of Merano-Meran (SABES-ASDAA), Merano-Meran, Italy; Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversität, Salzburg, Austria.
  • Gianni Turcato
    Department of Emergency Medicine, Franz Tappeiner Hospital, Merano, Italy.

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