What does this research mean for the field?

Artificial intelligence tools significantly outperform traditional emergency department triage methods, such as the Emergency Severity Index, by better predicting critical outcomes and reducing mistriage rates. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate the potential of artificial intelligence tools to improve triage efficiency, accuracy, and workflow integration in diverse emergency department settings.

August 27, 2026CIN Computers Informatics Nursing

Artificial Intelligence Technology Enhancing Emergency Department Triage

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To evaluate the potential of artificial intelligence tools to improve triage efficiency, accuracy, and workflow integration in diverse emergency department settings.
Conducted an integrative review across CINAHL, PubMed, Ovid Medline, EBSCOhost, and IEEE Xplore databases guided by the Technology Acceptance Model and Systems Thinking Approach.
Identified 283 records and included 20 relevant studies consisting predominantly of retrospective cohort designs along with cross-sectional, prospective, and observational studies.
Artificial intelligence algorithms significantly outperformed standard triage methods like the Emergency Severity Index in predicting critical outcomes, including intensive care unit admissions and mortality.
AI systems successfully leveraged both structured and unstructured electronic health data to reduce mistriage rates, although barriers regarding data quality and multicenter generalizability remain.

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Implication

Integrative review shows artificial intelligence models outperform conventional triage systems in emergency departments, suggesting improved clinical workflow and reduced mistriage rates.

Cite This Study

Brady et al. (2026) studied this question.

synapsesocial.com/papers/6a8fe9da10c91c1e92621d47 https://doi.org/10.1097/cin.0000000000001612

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Implication

Integrative review shows artificial intelligence models outperform conventional triage systems in emergency departments, suggesting improved clinical workflow and reduced mistriage rates.

Artificial Intelligence Technology Enhancing Emergency Department Triage

Key Points

Discussion

Implication

Cite This Study

Artificial Intelligence Technology Enhancing Emergency Department Triage

Key Points

Discussion

Implication

Cite This Study

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