Using Machine Learning Technique in Managing Emergency Triage Flow

The machine learning model achieved higher accuracy and lower mis-triage rates than the standard nursing triage system. Thus, the proposed machine learning model can be a helpful tool for emergency department triage, enabling more efficient and accurate patient management.

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Publication Details

Journal
Acta Informatica Medica
Published
2025-01-01
DOI
https://doi.org/10.5455/aim.2025.33.152-157
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Machine Learning Technique in Managing Emergency Triage Flow

Mohammed Almulhim, Dina A. Alabbad, Dunya Alfaraj, Saud A AlShehri et al.
Acta Informatica Medica
COVID-19 diagnosis using AI
article

Using Machine Learning Technique in Managing Emergency Triage Flow

Mohammed Almulhim, Dina A. Alabbad, Dunya Alfaraj, Saud A AlShehri, Mubarak A AlKhudair, Faisal A Alghamdi
article en

Abstract

The machine learning model achieved higher accuracy and lower mis-triage rates than the standard nursing triage system. Thus, the proposed machine learning model can be a helpful tool for emergency department triage, enabling more efficient and accurate patient management.

Acta Informatica MedicaVol. 33(2)
Imam Abdulrahman Bin Faisal University (SA)
Openalex Percentile: Top 84%
COVID-19 diagnosis using AI
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