MediCoord AI
MediCoord AI
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For Health System Operators & Investors

City-wide patient coordination.
Real-time. At scale.

MediCoord AI routes hundreds of patients simultaneously across Toronto's health network — prioritized by severity, balanced by load, in real time.

Priority Queue

Severity-weighted dispatch. Emergent cases route first. Moderate and routine cases absorb available city-wide capacity without crowding critical pathways.

City-Wide Coordination

All facilities tracked simultaneously. Load redistributes as patient volume shifts across the network. No single facility becomes a new bottleneck.

Org Sandbox

Evaluate with simulated patient load. No PHI, no live infrastructure, full coordination fidelity. Watch routing and rebalancing before any commitment.

How a routing decision happens

From patient symptom to facility confirmation in under 300 ms. Click any stage to inspect it, or watch the pipeline run.

Live Patient Routing Pipeline
Step 1 of 5
Patient Intake
What happens

Lay-language symptoms + geolocation ingested via secure API.

Why it matters

No phone calls. No intake forms. Patients enter the coordination queue instantly — staff time goes to care, not routing.

Ingestion latency
18 ms
Technical detail

Validates and sanitizes patient payloads, extracts coordinates via browser or mobile SDK, and pushes to the triage queue. Handles 42 concurrent requests per minute per node without degradation.

Pipeline Time< 300 ms
Facilities Tracked34
Active Bottlenecks0
Concurrent Patients247

Most routing systems find the nearest facility. MediCoord AI coordinates across all of them.

The system scores every candidate facility by composite ETA: road travel time plus active wait queue — not proximity. A clinic 1.5 km away with a 60-minute queue loses to a hospital 4 km away with a 23-minute total ETA. Severity gates minimum facility capability: emergent cases never route to urgent care regardless of ETA advantage.

As facilities fill, routing decisions shift to preserve system-wide throughput. Inbound routing decisions in flight are factored into each new score — preventing the coordination trap of sending every patient to the same "best" option and recreating the bottleneck you set out to solve.

Available for Organizations — Sandbox Mode

See the coordination in action

Run a simulated patient load across the city network. Watch priority queue dispatch and load rebalancing in real time. No PHI, no live infrastructure required.

Launch Sandbox Mode
Built on real Canadian public health data
Toronto facility network
Session-only, zero PHI storage