Year: 2025
Type: article
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.
Source: Bioinformation
Authors: Nikhil Paul, Parth Jani, Niyati Pandya, Amrit Podder, Mukul Singh, Carlos Andres Chango Rodriguez
Institutions: Manipal Academy of Higher Education, Kasturba Medical College Hospital, Kasturba Medical College, Mangalore, Kasturba Medical College, Manipal, Government Medical College Bhavnagar, All India Institute of Medical Sciences, Rajkot, Teerthanker Mahaveer University, Teerthanker Mahaveer Medical College & Research Centre, Mahaveer University, All India Institute of Medical Sciences Gorakhpur
Language: English
Subfield: Emergency Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4415946979