AI Clinic Triage + Patient Flow Dashboard

Overview

A private healthcare network faced growing walk-ins and appointment overload. Laalain built an AI-assisted intake and triage system paired with a real-time operations dashboard to reduce wait times and improve clinic efficiency.

The Challenge

Manual triage was inconsistent and slow. Staff lacked visibility into bottlenecks. Pain points:

Variable intake quality depending on staff.
Long wait times during peak hours.
Poor doctor/room utilization.
No predictive signals for high-risk patients.

Goals

Standardize patient intake using AI.
Speed up triage decisions.
Improve real-time visibility for clinic managers.
Reduce patient wait times and staff load.
Maintain privacy and compliance.

Our Approach

We collaborated with medical leads to translate triage rules into safe AI augmentation (not replacement). Then:

Designed a workflow-friendly intake UI.
Built triage scoring with explainability.
Implemented operations dashboards and alerts.
Hardened security for healthcare standards.

The Solution

A connected triage + flow management suite.

Key Features

AI Intake Assistant: Symptom and history capture with structured output.
Triage Scoring: Suggests routing priority with rationale.
Queue Dashboard: Real-time wait times and room status.
Risk Alerts: Flags high-risk combinations instantly.
Bottleneck Analytics: Heatmaps showing staffing and flow issues.

Tech Stack

React/Vue dashboard, Node.js, PostgreSQL, HIPAA-aware cloud setup, RAG symptom assistant.

Results

35% faster triage.
22% better doctor utilization.
18 minutes less average wait time.
Staff satisfaction improved in internal surveys.

What's Next

Predictive load-balancing and multi-clinic routing.

Key Results