ERTRIAGE®

by CAREPOI  · Based in Greece →The world's first device-based AI triage system
Critical Care Emergency Medicine

Contact for pricing
Regulatory Status Disclosed

Overview

ERTRIAGE® by CAREPOI is an AI-based triage solution designed for hospitals, revolutionizing emergency room workflows. It functions as a dynamic ER medical folder and triage assistant, rapidly analyzing clinical data to provide real-time acuity classification and triage recommendations.

The system supports real-time exams assisted by clinically-accepted protocols such as ESI, HEART, NEWS, and ROSIER, leveraging AI algorithms for real-world needs. It collects approximately 50-55 clinical decision points, including exam results (e.g., Blood pressure, ST, QRS) and on/off answers (e.g., ROSIER), analyzing them with advanced algorithms to triage patients to appropriate care with 97% accuracy in under 1-3 minutes.

ERTRIAGE enhances decision-making by quickly and accurately analyzing vast amounts of patient data, increasing efficiency and speed in crowded emergency departments. Its machine learning algorithms can predict the severity of conditions and identify patients at risk of deteriorating, helping ED staff proactively manage patient flow, allocate resources, and respond to emergencies. In cases of emergency, it can automatically route patients to appropriate care, such as video consultations, urgent care, or specialists.

The system aims to lower staff burnout, improve patient flow, reduce unnecessary ED visits, and provide timely patient data, leading to a more personalized, patient-centered approach and better value-based care.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Real-time acuity classification and triage recommendations
  • Analyzes 50-55 clinical decision points in under 1-3 minutes
  • 97% accuracy in triage
  • Supports clinically-accepted protocols (ESI, HEART, NEWS, ROSIER)
  • Enhanced decision-making through rapid patient data analysis
  • Predicts severity and identifies patients at risk of deteriorating
  • Automated routing to appropriate care (video consultation, urgent care, specialists)
  • Integrates with EHR/HIS systems
  • Hybrid AI deployment (local on device, cloud)
  • Centralized data for personalized, patient-centered care

Use Cases

  • Emergency Departments
  • Mobile Units & EMS
  • Military & Humanitarian
  • Disaster Response
  • Life & Travel Insurance
  • Reducing unnecessary ED visits and improving patient flow

What Physicians Need to Know

Key Capabilities
AI-based triage with 97% accuracy in under 3 minutes, analyzing 55+ clinical decision points using certified protocols (ESI, HEART, NEWS, ROSIER). Provides personalized healthcare insights and automatically routes patients to appropriate care. Integrates with smart wearable wristbands for continuous vital sign monitoring and patient tracking. Offers an AI-based medical folder and enables encrypted video sessions with healthcare professionals. Supports remote monitoring, diagnosis, and e-triage across various settings including hospitals, mobile units, and home care.
Clinical Utility
Reduces patient mortality, hospital stays, and wait times by enhancing resource allocation and streamlining treatment. Improves clinical decision-making through standardized guidelines and continuous patient monitoring. Contributes to reduced hospitalization rates and enhances patient safety. Increases efficiency in emergency departments, proactively managing patient flow, and reducing physician workload and administrative burden.
Integration Options
Directly connects to existing Electronic Health Records (EHR), Hospital Information Systems (HIS), and CAREPOI's proprietary Points of Intelligence (POI) Stations. Features integrated P2P video conferencing software and connected medical devices. Utilizes DURUS, a patent-pending native-android backbone for its POI stations. Supports Software as a Service (SaaS) for information sharing with healthcare providers.
Compliance Status
ISO 13485, ISO 9001, and ISO 27001 certified. HIPAA and GDPR compliant. ERTRIAGEu00ae is a registered EU trademark.
Pricing Model
Offers a 'USER PLUS PLAN' annual membership for u20ac49.00, including full access to any POI, a Personalized Medical Folder, P2PV functionality, and access to a network of healthcare professionals. Operates on a 'free market' model where providers can openly display prices for services. Telemedicine credits are available in various packets.
User Experience
Provides rapid AI-based insights and next steps in under a minute. Patients can perform exams and manage symptoms via DURUS. The Medical File is accessible via POI stations, aiming for faster, safer, and easier online treatment. Wearable wristbands offer clear updates and instructions, reducing patient stress. Includes educational tools and continuous vital sign monitoring with instant alerts.
Support Quality
Offers expert support as part of its ecosystem. Provides contact information (phone, email) for inquiries. Assisted registration for the Medical Folder is available through General Practitioners. Procedures are in place for credential retrieval in case of lost login details.
Implementation Complexity
Requires comprehensive staff training and effective change management for successful adoption. Designed for a smooth and interoperable workflow with minimal training. Scalable to support various triage operations, from hospital bedside to remote care settings, involving wearable wristbands and a web-based platform.
Evidence Base
Achieves over 97% triage accuracy, validated with real-world hospital data and aligned with expert clinical judgment. Supports clinically-accepted protocols (ESI, HEART, NEWS, ROSIER). Research indicates AI benefits in addressing ED/ICU overcrowding and diagnostic modeling. Referenced studies suggest teletriage reduces ED presentations and improves patient outcomes.
Physician Tip

ERTRIAGEu00ae offers significant benefits in streamlining patient flow, enhancing diagnostic accuracy, and reducing administrative burden. Physicians can leverage its AI-driven triage for rapid, accurate patient prioritization, especially in high-volume settings like EDs. The real-time data from connected devices and the AI-based medical folder can provide a comprehensive patient overview, supporting informed clinical decision-making and personalized care. The telemedicine integration also allows for remote consultations and continuous monitoring, which can improve patient access and follow-up care.

ERTRIAGEu00ae is designed for interoperability, directly connecting with existing EHR and HIS systems, as well as CAREPOI's proprietary POI Stations. Its reliance on the DURUS native-android backbone for POI stations suggests a robust, device-centric integration approach. For full functionality, especially regarding the Medical Folder, it's important that participating healthcare providers utilize compatible software within the CAREPOI ecosystem. The integrated P2P video conferencing and connected medical devices further highlight its comprehensive integration capabilities for a holistic digital health solution.

Details

Category Triage & ER/ICU AI
Pricing Contact for pricing Contact CAREPOI for detailed pricing plans for ERTRIAGE®.
DeploymentDevice-based, Hybrid (Local ML Model, Cloud AI Model)
Compliance
BAA Available Yes AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Not specified AI-estimated
Integrations
EHR Not specified
Specialties Critical Care, Emergency Medicine

What the Web Says

ERTRIAGEu00ae is an AI-powered emergency triage and clinical decision support system designed to integrate into emergency department workflows. It analyzes over 50 clinical data points to provide real-time triage classification with high accuracy, aiming to reduce processing and patient waiting times, improve patient flow, and detect critical conditions earlier. The system is built on a peer-reviewed AI breakthrough from 2008 and is currently being piloted in hospitals in Greece.

Overall: Positive

Strengths

  • 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 (e.g., stroke, myocardial infarction, sepsis).
  • Higher staff confidence in triage accuracy and cross-shift consistency.
  • 98% accuracy in under three minutes.

Limitations

  • No specific cons were found in the provided search results from physicians, healthcare IT, tech reviewers, Reddit, G2, or Capterra regarding ERTRIAGEu00ae itself.
  • Some general concerns about AI in healthcare from Reddit include the inability of AI to fully replace physician judgment and potential for misdiagnosis if less common symptoms aren't charted.
  • General challenges with conventional triage include inter-clinician variability, cognitive bias, inconsistent protocols, and delays for high-acuity patients.

Based on reviews from: CAREPOIu00ae, Reddit, iTnews, G2, Capterra, Trustpilot, SimplyHired, Indeed.com, PMC

Last updated: 2026-07-22

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Press & Coverage

ERTRIAGE Newsroom
Algorithmic Triage Systems in Emergency Departments: Optimizing Prioritization with Real-Time Data
ERTRIAGEu00ae was presented at the 20th Panhellenic Intensive Care Congress in a scientific paper highlighting AI and machine learning's role in improving emergency department triage by enhancing patient prioritization, reducing waiting times, and supporting faster identification of high-risk cases.
2025-09
ERTRIAGE Newsroom
Volos: Patient Management at the Hospital's Emergency Department to Be Enhanced with Artificial Intelligence
The Emergency Department of Volos Hospital is set to implement ERTRIAGE, an innovative AI system, to enhance patient care quality, reduce waiting times, and streamline decision-making in the emergency room.
2025-09
ERTRIAGE Newsroom
Statement by the Minister of Health of Greece regarding the ERTRIAGE system
The Minister of Health of Greece announced the pilot implementation of the ERTRIAGE system, which uses AI to analyze clinical data for patient triage, at Larissa General Hospital.
2025-09
ERTRIAGE Newsroom
University of Patras: ERTRIAGEu00ae Training Program Announcement
ERTRIAGEu00ae launched a training program to cultivate scientific knowledge and skills for effective patient management in emergency care, focusing on the documented application of the ERTRIAGEu00ae AI-based machine learning system.
2025-09
CAREPOI
The Real Story of ERTRIAGE: 20 Years of Emergency Room AI
ERTRIAGE is presented as the world's first digital-twin AI ecosystem for pre-hospital and Emergency Department triage, built on a peer-reviewed AI breakthrough from 2008 that predicted patient survival in ICUs.
unknown
CAREPOI
Artificial Intelligence in Emergency Department Triage
This article provides a systematic review of machine learning architectures and AI platforms, including ERTRIAGEu00ae, for emergency department triage clinical decision support, covering regulatory considerations like the EU AI Act.
2026-06
ERTRIAGE White Papers Repository
Managing the Triage Error Crisis in Emergency Departments
A white paper discusses the endemic problem of ED triage error and how ERTRIAGE, a clinically validated AI-powered methodology deployed in Greek public hospitals, addresses these failure modes with high prediction accuracy and reduced triage time.
unknown
ERTRIAGE HealthCare Blog
ERTriage Innovating Patient Triage with AI
This blog post discusses how AI, specifically systems like ERTriage, can streamline patient triage in emergency departments, allowing healthcare providers to quickly assess and prioritize patients based on the severity of their conditions.
2024-10

Videos

Product demos, reviews, and walkthroughs for ERTRIAGE®.

View all on YouTube

Frequently Asked Questions

ERTRIAGEu00ae is designed to seamlessly integrate into emergency department workflows, running on triage kiosks, tablets, or nurse workstations and connecting to existing EHR/HIS systems via secure FHIR and RESTful APIs. It analyzes over 50 clinical parameters in real-time, including patient data, vital signs, history, lab/imaging inputs, and validated clinical scales like ESI, NEWS, and ROSIER, to provide accurate triage recommendations.
ERTRIAGEu00ae is designed to operate in environments requiring HIPAA compliance, implementing administrative, technical, and physical safeguards to protect Protected Health Information (PHI), including end-to-end encryption, role-based access control, and audit logs. It also adheres to GDPR for cross-border data transfer and features an audit-ready architecture suitable for regulated environments.
ERTRIAGEu00ae aims to enhance clinical precision and speed compared to traditional methods, which can be limited by human subjectivity and incomplete data. Its key differentiators include a multi-model fusion architecture, real-time adaptive learning, explainable and traceable AI, and operational context awareness that integrates with ED logistics. The system boasts a high accuracy rate of over 97% in triage assessments.
ERTRIAGEu00ae functions as a clinical decision support tool that augments, rather than replaces, clinician expertise, providing audit-friendly override options for human judgment. The system is built on peer-reviewed research and continuously learns from new case data and physician feedback to evolve and mitigate potential biases. Its explainable AI provides transparent rationale for recommendations, fostering trust and accountability.
While ERTRIAGEu00ae mentions compliance with the FDA 510(k) pathway for Software as Medical Device (SaMD) classification in the context of life and travel insurance, the provided information does not explicitly state a general FDA clearance or approval for its use as an AI triage system in emergency departments. Other AI triage tools have received specific FDA clearances for various applications, but a direct statement for ERTRIAGEu00ae's ED use case is not present in the search results.
Specific pricing details for ERTRIAGEu00ae are not publicly available in the provided search results. Healthcare AI solutions like ERTRIAGEu00ae commonly utilize subscription-based models or licensing agreements, with costs often varying based on the size of the hospital or health system, the scope of deployment, and the specific features or modules implemented. Interested parties would typically need to contact the vendor directly for a customized quote.

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Suggest an Edit → | Last Verified: 2026-04-21 | First Added: 2026-04-21

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