Scalable, Autonomous AI Triage for Mass Casualty and Crisis Scenarios

Disasters—whether natural, technological, or biological—often result in mass casualty incidents (MCIs) that overwhelm traditional healthcare infrastructures.
In these settings, first-response efficiency and rapid patient classification directly impact survival rates and resource allocation.

ERTRIAGE is uniquely positioned to deliver intelligent, field-operational triage capabilities at scale.
It provides autonomous AI classification directly at points of patient contact—without requiring cloud connectivity, EHR infrastructure, or fixed medical facilities.

Designed for Rapid Deployment in Crisis Conditions

• Fully deployable within minutes on POI stations, mobile tablets, or mass casualty triage tents
• No installation or backend server configuration required
• Can be pre-loaded on emergency medical caches or national disaster kits

AI-Supported MCI Prioritization & Surge Response

• Utilizes real-time AI to classify severity based on vitals, presenting complaints, and injury patterns
• Aligns with ICS/NIMS triage frameworks and disaster-specific scoring systems (e.g., START, SALT)
• Supports batch triage for high-density victim events (e.g., earthquakes, mass shootings, floods)

Situational Awareness and Command Integration

• Outputs triage classifications with severity metadata and timestamps
• Feeds directly into regional incident command dashboards (via offline sync or emergency LTE/Sat uplink)
• Supports rapid decision-making for triage zone management, transportation staging, and hospital routing

Example Deployment

Following a coastal earthquake, emergency responders establish a triage corridor at an improvised care site using ERTRIAGE-enabled mobile devices.
The system processes over 80 patients in the first hour, prioritizing crush injuries and airway obstructions.
AI-generated triage data is transmitted to a regional emergency operations center (EOC) as bandwidth allows,
enabling helicopter and ambulance coordination for critical transport.