AI-Driven Triage Systems in Emergency Healthcare

Abstract

This chapter explored the transformative impact of AI-driven triage systems on emergency healthcare, highlighting their capacity to enhance diagnostic accuracy, streamline clinical workflows, and improve patient outcomes. As emergency departments face growing challenges such as overcrowding, resource limitations, and the need for rapid decision-making, traditional triage methods often fall short. AI-powered systems leverage machine learning algorithms to assess patient data in real-time, prioritize care, and assist clinicians in making evidence-based decisions, thereby reducing variability and human error. The chapter examined the functionality, benefits, and limitations of these systems, addressing critical issues such as ethical concerns, data governance, and implementation barriers.

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