Feb 1, 2026

Vitality

public health crisis management real-time systems computer vision patient prioritization human-in-the-loop hospital load balancing smart healthcare ai for social good triage system emergency response healthcare

Emergency departments often fail not because of lack of care, but because the right care doesn’t reach the right patient in time. During sudden surges, staff shortages, or large-scale incidents, static triage systems break down—causing delayed treatment, overwhelmed healthcare workers, and preventable outcomes.

Our project introduces an adaptive, city-wide emergency triage system that helps hospitals function as one coordinated network instead of isolated units. Patients are continuously prioritized using real-time signals such as waiting time, hospital capacity, staff availability, and observable distress in waiting areas. When one hospital becomes overloaded, stable patients can be safely redirected to nearby facilities with available capacity—while critical patients are preserved locally.

To further support rapid decision-making, the system includes optional, staff-assisted injury analysis that evaluates visible external injuries to suggest appropriate routing (nurse care, doctor evaluation, or urgent attention). All recommendations are explainable, temporary, and human-confirmed, ensuring safety, transparency, and trust.

The goal is to reduce critical delays, lower staff burden, and improve emergency resilience, without slowing patient admission or replacing human judgment—especially during the moments when the system is under the most stress.

This build was uploaded as a hackathon project

Hackathon

Hacknagpur 2.0

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