A Review of Algorithms and Models for Patient Triage in Outpatient Departments

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Patient triage algorithms aim to enhance efficiency and reduce subjectivity in outpatient settings, addressing systemic issues.
The review identifies various models, including machine learning and deep learning methods, emphasizing their roles in triage.
Ethical challenges of AI in triage include algorithmic bias and the need for explainable AI for transparency.
Comparisons of algorithm performance versus human clinical experts underline the potential advantages and limitations of these systems.

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This review demonstrates how algorithms improve patient triage efficiency in outpatient departments, highlighting challenges like algorithmic bias.

Liwen Liu (2025) studied this question.

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This review demonstrates how algorithms improve patient triage efficiency in outpatient departments, highlighting challenges like algorithmic bias.