Acil servislerde dijital ve yapay zekâ destekli triyaj sistemleri

Selim Adıyaman; Fatma Azizoğlu

doi:10.47243/jos.2857

Authors

Selim Adıyaman Halic University / Türkiye 0009-0003-8291-2723
Fatma Azizoğlu Halic University / Türkiye 0000-0002-7102-9797

10.47243/jos.2857

Abstract

Aim: This study aims to evaluate the potential, feasibility, and current limitations of artificial intelligence (AI)-supported triage systems in emergency departments by examining their impact on healthcare services. Traditional triage systems rely on subjective assessments, which contribute to increased issues such as patient overcrowding and resource insufficiencies. In this context, AI-based systems enable faster, more objective, and consistent prioritization. Materials and Methods: Original research and review articles published between 2020 and 2025 were searched in relevant databases. Results: According to the literature review, AI-supported triage systems accelerate patient prioritization, reduce the cognitive load of healthcare workers, and offer advantages such as improving patient outcomes and decreasing waiting times. However, significant challenges remain regarding data security, lack of algorithmic transparency, ethical concerns, and system integration. Discussion and Conclusion: AI-supported digital triage systems have the potential to enhance efficiency and the quality of patient care in emergency departments. For their safe and effective widespread adoption, multicenter prospective clinical studies are necessary, alongside strengthening digital infrastructure and implementing comprehensive training programs for healthcare professionals.

Keywords:

Artificial Intelligence Triage Emergency Department Digital Health Decision Support Systems

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References

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