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The Future of Emergency Triage, Powered by AI

Fast. Smart. Transparent. Trusted.

ERTRIAGE™ HYBRID-AI the AI-driven triage that accelerates clinical decisions, optimizes patient flow, and empowers emergency teams — all in real time.AI-driven triage that accelerates clinical decisions, optimizes patient flow, and empowers emergency teams — all in real time. 

Identify and classify an emergency case using real-world exams, valid ER protocols (NEWS2, HEART, ESI, ROSIER etc.) medical evidence and artificial intelligence

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ERTRIAGE™ HYBRID-AI

ERTRIAGE™ HYBRID-AI is an AI-supported triage system designed to seamlessly integrate into emergency department workflows. By rapidly analyzing over 50 key clinical data points — including symptoms, vital signs, and medical history — ERTRIAGE provides real-time support to physicians, classifying patients by acuity with unmatched speed and accuracy.

  • Supports Emergency Severity Index (ESI), HEART, NEWS, and ROSIER scoring
  • “Hello Nurse” Triage assessments in under 60 seconds
  • Triage assessments in under 180 seconds
  • 97% triage accuracy based on real-world clinical validation

AI That Thinks Like a Clinician

  • Rapid, real-time analysis of patient data
  • Intelligent triage suggestions aligned with validated clinical protocols
  • Explainable AI insights, so every recommendation is transparent and traceable

  • Hybrid AI architecture with local and cloud-based computing for resilience and speed

ERTRIAGE™ HYBRID-AI augments human expertise — it accelerates decision-making without replacing clinicians.

ERTRIAGE™ : the world's first device-based AI triage system

ERTRIAGE Core Technology

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Revolutionizing Emergency Room Triage with DH-600

In the critical environment of emergency medicine, accurate triage is the foundation of effective care. ERTRIAGE™ is the world's first device-based AI triage system, developed using native Android programming and integrated machine learning (ML) models. Built for speed, accuracy, and adaptability, ERTRIAGE empowers physicians to make rapid, evidence-based triage decisions directly from a robust, portable device.

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Hybrid AI Deployment: Local or Cloud

Whether the facility operates in a connected urban setting or a remote low-bandwidth location, ERTRIAGE adapts to your infrastructure. The AI engine can run:

  • Locally, using on-device ML for real-time, offline triage
  • In the Cloud, leveraging central AI models for centralized data management and updates

This hybrid deployment model covers a broad spectrum of operational and regulatory requirements.

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Key Features & Capabilities

This hybrid deployment model covers a broad spectrum of operational and regulatory requirements.

Decision Support01.

ERTRIAGE™ HYBRID-AI offers real-time triage classification suggestions, enhancing clinical confidence and reducing variability between providers.

Fast Assessments02.

Capture over 50 clinical decision points in under 180 seconds. The system presents a triage recommendation almost instantaneously.

High Accuracy03.

Validated with real-world hospital data, ERTRIAGE™ HYBRID-AI achieves a triage accuracy rate of over 97%, aligning closely with expert clinical judgement.

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04.Integration

Connects directly to existing EHR, HIS, and POI Stations, ensuring a smooth and interoperable workflow with minimal training required.

05.Compatibility

Whether at a hospital bedside, POI diagnostic kiosk, or remote care setting, ERTRIAGE™ HYBRID-AI  scales to support your specific triage operations.

06.Security

Built to comply with GDPR, HIPAA, and national healthcare standards, with secure data encryption and audit trails.

Clinical Impact: Real Results

"With ERTRIAGE, our ED team makes faster, safer decisions while managing record-breaking patient volumes."

In under 3 minutes, ERTRIAGE DH-600 collects roughly 50 clinical decision points and analyzes them with advanced algorithms and Certified Triage Protocols with 97% accuracy.

  • Hospitals using ERTRIAGE have reported:
  • 40% faster triage processing time
  • Improved patient flow through better prioritization
  • Earlier detection of critical conditions such as stroke, MI etc.
  • Higher staff confidence in triage accuracy and consistency.
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