Evaluating the National Early Warning Score (NEWS) in triage: A machine learning perspective.

Journal: International emergency nursing
Published Date: Mar 30, 2025

Abstract

BACKGROUND: The National Early Warning Score is widely used in Emergency Departments for triage, primarily to predict mortality. However, its effectiveness in assessing additional clinical outcomes relevant to triage, such as patient urgency and severity, remains unclear and warrants further investigation.

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.
  • Serena Sibilio
    Universität Basel Department Public Health, Institute of Nursing Science, Basel, BS, Switzerland.
  • Magdalena Massar
    Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy.
  • Gabriele Magnarelli
    Department of Emergency Medicine, Hospital of Merano-Meran (SABES-ASDAA), Merano-Meran, Italy; Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversität, Salzburg, Austria.
  • Gloria Brigiari
    Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy.
  • Gianni Turcato
    Department of Emergency Medicine, Franz Tappeiner Hospital, Merano, Italy.

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