AI-Based Decision Support Systems for Emergency Medical Services Triage
Year: 2025
Type: article
Abstract: AI-based decision support systems (DSS) have the potential to significantly enhance Emergency Medical Services (EMS) triage by providing rapid, accurate, and consistent patient prioritization in high-pressure situations. Leveraging advanced machine learning, natural language processing, and real-time data integration, these systems assist EMS personnel in making informed decisions, reducing cognitive burden, and optimizing resource allocation. Despite challenges such as data quality, interoperability, user acceptance, and ethical concerns including privacy and algorithmic bias, AI-driven triage tools have demonstrated improved accuracy and efficiency in real-world applications. Future advancements promise greater personalization, transparency, and integration with telemedicine and wearable technologies, reshaping emergency care delivery. Multidisciplinary collaboration and ethical governance are essential to realizing AI’s full potential in EMS triage, ultimately improving patient outcomes and emergency response effectiveness globally.
Author: Rao M., Dr. Koteswara
Institution: Krishna University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6893388080
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