ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2025
Improving Emergency Response: A Comparative Analysis of Traditional vs Artificial Intelligence-assisted Triage Systems in Health Care and Their Impact.
Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background and aims: This study compares traditional emergency department (ED) triage systems with artificial intelligence (AI)-assisted triage to assess their impact on time to treatment (TTT) and patient outcomes. Emergency departments (EDs) manage high patient volumes and time-critical decisions, necessitating efficient triage. Traditional methods such as the emergency severity index (ESI) and Manchester triage system (MTS) rely on human judgment and may introduce variability. Artificial intelligence (AI)-based systems use machine learning (ML) algorithms to analyze patient data in real time, offering the potential for faster and more consistent decisions. Patients and methods: We conducted a single-center randomized controlled trial (RCT) in a high-volume tertiary hospital in Pune, India. One hundred and five patients were randomized to traditional triage (Group A) or AI-assisted triage (Group B). The primary outcome was TTT, defined as arrival at first medical intervention. Mean TTT was 31.02 minutes with AI vs 44.12 minutes with traditional triage ( Results: Intensive care unit (ICU) admission rates did not differ. Clinician ratings favored AI in terms of accuracy, workload reduction, and perceived impact. Multiple linear regression estimated an adjusted -13.1-minute effect of AI on TTT, independent of severity ( Conclusion: Artificial intelligence (AI)-assisted triage improves ED efficiency by reducing TTT without altering ICU admission rates. How to cite this article: Nadaf H, Jabade MV, Jamadar K, Jogdeo B, Jamdade V. Improving Emergency Response: A Comparative Analysis of Traditional vs Artificial Intelligence-assisted Triage Systems in Health Care and Their Impact. Indian J Crit Care Med 2025;29(11):925-929.
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