Safety and accuracy of AI in triaging patients in the emergency department
The findings suggested that AI could support ED triage by aligning closely with human decision-making. However, its overestimation of severity could lead to over-triaging and increased resource use. Limitations included a small sample size and the use of a general AI model not specifically trained for medical triage. Future research should focus on AI models tailored for ED triage to improve reliability and clinical applicability.
Authors
- Lama Alomari (ORCID: https://orcid.org/0000-0002-9043-2071)
- Raghad A. Alshehri (ORCID: https://orcid.org/0009-0000-2215-3479)
- H. Al-Malki (ORCID: https://orcid.org/0009-0001-3696-3082)
- Munifah Afit Terbah Alshammari (ORCID: https://orcid.org/0009-0000-2189-8241)
- Asal Osama Arbaeen (ORCID: https://orcid.org/0009-0009-8575-2087)
Institutions
- King Saud Medical City (SA)
- Prince Mohammed bin Abdulaziz Hospital (SA)
Publication Details
- Journal
- International Journal of Emergency Medicine
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1186/s12245-025-01069-x
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65