How ERTRIAGE™ works - The world's first device-based AI triage system

How ERTRIAGE™ works

The word ‘triage’ has evolved from the French word ‘trier’ which was the term used by Baron Dominique Jean Larrey during the Napoleonic wars to manage the influx of injured soldiers for a few beleaguered doctors.

Traditionally, triage involves clinicians assigning patients a category from Level 1 (most urgent) to Level 5 (least urgent) based on initial assessments. However, this process is often subject to human bias and variability in clinical judgment, especially under high-pressure conditions.

ERTRIAGE AI system

Pioneering solution

ERTRIAGE™ addresses this challenge by supporting clinicians in confidently identifying low-acuity patients, thus enabling more appropriate and expedited care pathways. This leads to improved patient throughput, reduced crowding, and enhanced overall operational efficiency.

Uniquely, ERTRIAGE™ is the first AI-driven, device-based triage system globally, built using native Android technology and incorporating integrated machine learning (ML) models. The system functions as a dynamic ER medical folder and triage assistant. During patient intake, clinicians follow a structured but adaptive series of clinical questions and record vital signs directly through the touch screen. These inputs—along with the patient’s medical history—are processed by either a local or cloud-based AI algorithm.

Within approximately 180 seconds, ERTRIAGE™ generates a risk assessment and recommends an appropriate triage level, providing both a decision and a transparent rationale. The final triage assignment remains under the discretion of the attending healthcare professional.

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ERTRIAGE AI system

In real-world ER settings

ERTRIAGE™ is currently deployed as an integral part of the triage workflow in several public hospitals across Greece, including Nikaia General Hospital, Larisa General Hospital, and Pyrgos General Hospital, serving a combined average of over 219,000 patient visits annually.

Emergency resources across Greek public hospitals are critically overburdened, making the efficiency and precision of triage decisions essential. Inadequate classification at triage can significantly compromise clinical outcomes: high-acuity patients may experience dangerous delays in care, while low-acuity patients may consume limited resources unnecessarily. This misallocation contributes to increased morbidity, extended wait times, and systemic strain.

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