ERTRIAGE®
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
ERTRIAGE® supports, but does not replace, clinical judgment. It provides AI-enhanced decision support to augment your expertise, leading to faster and more accurate triage. The system's ability to dynamically re-score patient acuity and identify critical conditions early can significantly improve patient outcomes and operational efficiency in the ED. Utilize the transparent, explainable AI to understand the rationale behind recommendations and integrate it into your existing clinical protocols.
ERTRIAGE® is part of a larger healthcare intelligence ecosystem by CAREPOI®, which includes TELECARE® for pre-hospital and remote care, and MEDPOI® for hospital operations. This integrated approach allows for a connected patient journey and seamless data flow across different stages of care. The system uses HL7 FHIR interfaces for real-time data exchange with EHR systems.
Details
| Category | Triage & ER/ICU AI |
| Pricing | Unknown |
| Deployment | Device-based, Hybrid (Local ML Model, Cloud AI Model) |
| API Available | Unknown |
| Training | Unknown |
| Compliance | |
| BAA Available | Unknown |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status | Unknown |
| GDPR | Yes AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Critical Care, Emergency Medicine |
Support & Reliability
| Training Provided | Unknown |
What the Web Says
ERTRIAGE® is an AI-powered clinical decision support system designed for emergency department triage, developed by CAREPOI®. It aims to improve the accuracy and efficiency of patient prioritization by analyzing over 50 clinical data points, including symptoms, vital signs, and medical history, to provide real-time triage classifications with high accuracy. The system is built on a foundation of peer-reviewed research dating back to 2008, focusing on predictive modeling for patient outcomes.
Overall: PositiveStrengths
- Reduces triage processing time by 40%.
- Decreases patient waiting times by 30-40%.
- Improves patient flow through more accurate clinical prioritization.
- Enables earlier detection of critical conditions like stroke, myocardial infarction, and sepsis.
- Increases staff confidence in triage accuracy and consistency across shifts.
- Provides real-time triage classification with 98% accuracy in under three minutes.
Limitations
- Most published machine learning triage models are trained on single-center, retrospective datasets, which may lead to performance degradation in different populations.
- Prospective, multi-center validation studies are still insufficient.
- Concerns exist about algorithmic bias in AI systems.
- General skepticism about AI's ability to fully replace human judgment in complex medical decision-making.
- Potential for AI to hallucinate or be inaccurate, as noted in general discussions about AI in medicine.
Based on reviews from: carepoi.com, ertriage.com, reddit.com, physicianaitools.com
Last updated: 2026-10-29
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