AI-Powered Hospital Queue Management System

Inspiration

Hospital wait times are a major issue, often leading to misprioritized cases and delays in critical care. We wanted to create an AI-powered system to help hospital administrators optimize patient prioritization and predict wait times in real-time.

How We Built It

• AI Model: Trained to predict wait times based on doctor availability, patient count, and case severity.
• Backend: Built with Node.js & MongoDB, handling real-time patient data.
• Frontend: Developed in Angular, providing a dashboard for hospital staff to monitor and manage queues efficiently.

What We Learned

• AI can optimize hospital efficiency and improve patient outcomes.
• Real-time data is crucial for accurate decision-making.
• Balancing AI & human judgment ensures better triage.

Conclusion

Our system reduces wait times, improves resource allocation, and prioritizes critical patients effectively. Moving forward, we aim to refine our AI model, integrate real hospital data, and expand to clinics and urgent care centers.

Built With

• angular.js
• flask
• javascript
• jupyter
• mongodb
• python
• twilio