ERTRIAGE®: the Future of Emergency care






About What is ERTRIAGE®
ERTRIAGE® is an AI-supported emergency triage and clinical decision support system designed to integrate seamlessly into emergency department workflows. By analyzing over 50 key clinical data points — including patient symptoms, vital signs, medical history, and risk factors — ERTRIAGE® delivers real-time triage classification with 98% accuracy in under three minutes.
ERTRIAGE® is more than software. It is a complete device-based AI platform — the world’s first of its kind — built on native Android technology with integrated machine learning models capable of operating both locally (on-premise) and in the cloud.
ERTRIAGE® is a registered EU trademark (EUTM No. 019145462) owned by CAREPOI®, covering AI software, medical devices, and healthcare services.
The Challenge of Emergency Triage
Emergency departments globally face a common crisis: rising patient volumes, staff shortages, and the inherent variability of human clinical judgment under pressure. Traditional triage assigns patients a category from Level 1 (most urgent) to Level 5 (least urgent) based on initial assessment. In practice, this process is subject to:
- Inter-clinician variability and cognitive bias under high-pressure conditions
- Inconsistent application of triage protocols across shifts and providers
- Dangerous delays for high-acuity patients missed at initial assessment
- Overcrowding caused by misclassification of low-acuity patients
- Systemic strain that increases morbidity and extends waiting times
ERTRIAGE® addresses each of these challenges by augmenting clinical judgment with validated AI decision support, enabling faster, more consistent, and more accurate triage at the frontline of emergency care.
How ERTRIAGE® Works
ERTRIAGE® operates in two coordinated clinical stages:
Stage 1 — Frontline Nurse Triage At the point of patient arrival, a nurse or clinician uses the ERTRIAGE® DH-600 device to conduct a structured, adaptive clinical assessment. The clinician records vital signs and symptom data directly through the touchscreen interface. Within 60 seconds for a “Hello Nurse” quick assessment, or under 180 seconds for a full triage evaluation, the AI engine processes all inputs — including the patient’s medical history — and generates a risk stratification recommendation with a transparent clinical rationale.
The final triage assignment always remains under the discretion of the attending healthcare professional. ERTRIAGE® supports — it never replaces — clinical judgment.
Stage 2 — Physician-Led Intervention At the second level of care, the ERTRIAGE® clinical stand consolidates patient data, triage insights, and real-time vital signs into a single, intuitive interface for the responsible physician. This allows physicians to instantly validate priorities, refine diagnoses, and initiate the right intervention without delay — without navigating multiple systems or re-entering data.
Supported Clinical Protocols:
- Emergency Severity Index (ESI)
- HEART Score (Cardiac risk)
- NEWS (National Early Warning Score)
- ROSIER (Stroke recognition)
Proven Clinical Impact
ERTRIAGE® is currently deployed as an integral part of emergency triage workflows in public hospitals across Greece, including Nikaia General Hospital, Larisa General Hospital, and Pyrgos General Hospital — collectively serving over 219,000 patient visits annually.
Clinical evaluations have demonstrated that medical teams utilizing ERTRIAGE® outperform both unaided staff and standalone automated systems. The synergy between human expertise and AI-enhanced triage produces measurable improvements across all key performance metrics:
- 40% reduction in triage processing time
- 30–40% reduction in patient waiting times
- Improved patient flow through more accurate clinical prioritization
- Earlier detection of critical conditions including stroke, myocardial infarction, and sepsis
- Higher staff confidence in triage accuracy and cross-shift consistency.
With ERTRIAGE®, our ED team makes faster, safer decisions while managing record-breaking patient volumes.
