A New Era of Collaboration and Prudence: Artificial Intelligence in Emergency Triage

Background: Artificial intelligence (AI) is emerging as a powerful tool in emergency triage, offering the potential to enhance decision-making, improve patient outcomes, and optimize resource allocation.This article explores the promise and challenges of integrating AI into emergency triage, drawing on recent studies and real-world examples.Artificial intelligence has demonstrated the ability to accurately predict patient outcomes, identify high-risk cases, and streamline patient flow management.However, the successful implementation of AI in emergency triage requires addressing the issues of trust, transparency, bias, and ethical considerations.Ensuring the explainability of AI recommendations using diverse and representative training data and continuous monitoring for bias is crucial for building trust among clinicians.The article emphasizes the importance of viewing AI as a decision-support tool rather than a replacement for clinical judgment and highlights the need for training and support to effectively integrate AI into emergency department workflows.The future of emergency triage lies in the judicious blend of technological advancements and the invaluable qualities of human care.

Authors

Publication Details

Published
2025-09-26
DOI
https://doi.org/10.5005/jactem-11048-0004
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

A New Era of Collaboration and Prudence: Artificial Intelligence in Emergency Triage

Naman Kumar Agrawal, Dipanjan Halder, Roshan Mathew
Artificial Intelligence in Healthcare and Education
article

A New Era of Collaboration and Prudence: Artificial Intelligence in Emergency Triage

Naman Kumar Agrawal, Dipanjan Halder, Roshan Mathew
article en

Abstract

Background: Artificial intelligence (AI) is emerging as a powerful tool in emergency triage, offering the potential to enhance decision-making, improve patient outcomes, and optimize resource allocation.This article explores the promise and challenges of integrating AI into emergency triage, drawing on recent studies and real-world examples.Artificial intelligence has demonstrated the ability to accurately predict patient outcomes, identify high-risk cases, and streamline patient flow management.However, the successful implementation of AI in emergency triage requires addressing the issues of trust, transparency, bias, and ethical considerations.Ensuring the explainability of AI recommendations using diverse and representative training data and continuous monitoring for bias is crucial for building trust among clinicians.The article emphasizes the importance of viewing AI as a decision-support tool rather than a replacement for clinical judgment and highlights the need for training and support to effectively integrate AI into emergency department workflows.The future of emergency triage lies in the judicious blend of technological advancements and the invaluable qualities of human care.

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Artificial Intelligence in Healthcare and Education
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