Offline-First Intelligence for Resilient Clinical Decision Support

In healthcare environments where consistent internet access is not guaranteed—such as mobile clinics, rural hospitals, disaster zones, and in-transit emergency care—
local AI deployment becomes essential. ERTRIAGE’s on-device model architecture allows it to function as a fully autonomous decision-support tool,
delivering real-time triage classifications without relying on cloud services or remote infrastructure.

The local model is designed using TensorFlow Lite and optimized for ARM-based Android hardware, enabling low-latency AI inference directly on the device.
This empowers clinical and emergency teams to assess patients instantly, with no data transmission delays or dependency on external networks.

Key Functional Capabilities

• Full offline operation: No internet or server required for inference
• Response time: < 1 second for triage decision
• Runs on: Android tablets, POI stations, EMS consoles, and rugged field devices
• Model Size: Lightweight neural network (<10MB) suitable for local memory footprint

Benefits of On-Device Deployment

• Reliability: Functions in connectivity-denied environments (e.g., disaster zones, ambulances, tactical deployments)
• Data Privacy: Patient information is never transmitted externally — all computation remains on the device
• Speed: Real-time feedback enables clinicians to act decisively under time pressure
• Independence: Reduces reliance on central IT infrastructure, ideal for standalone or temporary facilities

Clinical Scenario

A rural triage nurse receives a patient with symptoms of dehydration, tachycardia, and confusion. With no internet connectivity available,
ERTRIAGE’s on-device model classifies the case as moderate-to-severe with high risk of sepsis. This classification supports the nurse’s decision to escalate care
immediately and initiate IV fluid therapy without waiting for a physician or cloud-based decision system.

The local ML model is the foundation of ERTRIAGE’s resilience strategy — offering always-on, AI-driven triage support
even in the most challenging and disconnected clinical environments.