Healthcare Triage Chatbot
AI-Powered Patient Pre-Screening & Appointment Automation
Project Overview
A private clinic network was overwhelmed by front-desk staff fielding repetitive patient calls — symptom questions, appointment requests, and basic triage decisions. They needed an AI layer that could handle first contact 24/7 without replacing human empathy where it mattered.
The Challenges
- 1
High accuracy required for symptom routing — misclassification has real consequences
- 2
Regulatory sensitivity meant responses had to be conservative and clearly non-diagnostic
- 3
Integration with the clinic's existing booking system with minimal IT lift
- 4
Patient base included both Arabic and English speakers requiring bilingual support
Our Approach
We fine-tuned an NLP intent classifier on clinical dialogue data, built a triage decision tree aligned with the clinic's own protocols, and deployed via WhatsApp Business API and a React Native web widget. Escalation to a human agent triggers in under 3 seconds when model confidence falls below threshold.
Key Features & Metrics
Pre-screens 12 symptom categories with 91% routing accuracy
Fully bilingual: Arabic and English with zero code-switching errors
Integrated directly with the clinic's existing appointment booking API
Human escalation in under 3 seconds when confidence drops below threshold
Nightly usage and routing accuracy reports for clinic managers
Front-desk call volume reduced by 60% within the first month
Results & Business Outcome
Front-desk call volume dropped 60%. Staff now focus exclusively on high-complexity cases. Patient satisfaction scores improved 22 points because wait times dropped significantly.
The best healthcare AI does not replace caregivers — it removes administrative noise so they can do what only humans can.
Let's Build Something Intelligent Together
Tell us about your project. We'll respond within 24 hours with a custom plan and transparent pricing.