Evaluation of AI tools for triage and risk stratification in emergency medicine
Nikhil Paul, Parth Jani, Niyati Pandya, Amrit Podder, Mukul Singh, Carlos Andres Chango Rodriguez
TL;DR
AI tools improve triage efficiency in emergency medicine without affecting patient outcomes.
Contribution
Demonstrates AI-assisted triage improves efficiency and accuracy compared to traditional methods.
Findings
AI-assisted triage reduced time to treatment significantly.
AI triage showed higher accuracy and better resource allocation.
Patient outcomes and length of stay were similar between groups.
Abstract
The effectiveness of AI tools in triage and risk stratification in emergency medicine by comparing outcomes between AI-assisted triage and traditional triage methods is of interest. Hence, a total of 300 patients were enrolled, with 150 in each group, over 14 days. Results showed that the AI-assisted triage group had significantly reduced time to treatment, higher accuracy in triage decisions and more efficient resource allocation. Patient outcomes and length of stay were similar across both groups. Data shows that AI tools can enhance triage efficiency without compromising patient care.
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Taxonomy
TopicsEmergency and Acute Care Studies · Artificial Intelligence in Healthcare and Education · Disaster Response and Management