About ERTRIAGE™

ertriage-accuracy

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.

 

The research team at CAREPOI™ has developed an advanced artificial intelligence (AI)-powered clinical decision support tool, ERTRIAGE™, specifically designed to assist emergency department (ER) personnel in optimizing the triage process.

This innovative system enhances clinical accuracy in assigning triage levels and selecting the most appropriate care pathway for patients upon arrival.

ERTRIAGE AI system

Pioneering Research behind

At the heart of ERTRIAGE by CarePoi lies a deep foundation of scientific innovation and clinical insight. The system was developed leveraging key breakthroughs in medical informatics and predictive modeling led by Dr. Lefteris G. Gortzis, a recognized thought leader in health IT and emergency medicine decision support systems.

Predicting ICU Survival: A Meta-Level Approach

(Gortzis LG et al., BMC Health Services Research, 2008)
This groundbreaking study introduced a novel meta-level architecture for predicting survival rates of ICU patients by integrating diverse clinical scoring systems through a unified decision-support layer. The research demonstrated that fusing knowledge from multiple predictive models results in more accurate survival estimates than any single model alone.

Key Contributions to ERTRIAGE:

  • Meta-level fusion algorithms were adapted into ERTRIAGE to enhance real-time triage decisions.

  • Risk stratification logic built on this architecture allows ERTRIAGE to prioritize emergency cases with AI-powered clinical accuracy.

  • Inspired the modular decision engine that tailors triage recommendations to dynamic clinical variables, just like in ICU critical care settings.

Tracing and Cataloguing Knowledge in an E-Health Cardiology Environment

(Gortzis LG et al, Journal of Biomedical Informatics, 2008)
This study explored methods to systematically trace, map, and reuse medical knowledge in a cardiology-focused e-health system. By building a traceable framework for clinical decisions, the research set the stage for more transparent, explainable AI in medical settings.

Key Contributions to ERTRIAGE:

  • Inspired our knowledge graph infrastructure—capturing, indexing, and reusing clinical pathways for consistent triage decisions.

  • Enables ERTRIAGE to learn from patterns in patient symptoms, responses, and outcomes over time.

  • Informs the adaptive learning module that continuously evolves with new case data, physician feedback, and evidence-based protocols.

ERTRIAGE AI system

The Result: An Intelligent ER Triage System

By merging the predictive power of ICU survival analytics with the traceability of cardiology decision support, ERTRIAGE delivers:

  • Smarter triage algorithms that mirror expert physician reasoning.

  • Faster patient flow with accurate priority assignments.

  • Clinical transparency that builds trust among medical staff and administrators.

With science at its core and real-world usability in its design, ERTRIAGE is not just a tool—it’s a transformation of emergency care, powered by the our visionary work and our commitment to evidence-based digital health.

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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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ERTRIAGE AI system

Join the future of emergency care.

Introducing ERTRIAGE—an AI-driven triage platform that empowers clinicians to make faster, smarter, and safer decisions. Powered by real-time exams results and  validated protocols like ESI, NEWS, and ROSIER, ERTRIAGE processes over 50 clinical parameters in real time. It delivers accurate, explainable triage recommendations in under 2 minutes.

Developed by clinical informatics experts and built on peer-reviewed research, ERTRIAGE offers a transparent and traceable decision-making engine. Discover how ERTRIAGE can work for your team.

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ERTRIAGE AI system

Final Thoughts

ERTRIAGE is more than a product. It’s a platform, a tool, and a partner to the clinicians who serve on the frontlines of care. By combining AI, modern UX, secure engineering, and clinical wisdom, we’ve created a system that helps emergency teams focus on what matters most: the patient.

We believe this is the future of emergency triage—and we’re proud to have pioneered it.