MediQueue: Intelligent OP Queue & Visit Planner
MediQueue is a patient-side OP visit planning platform that helps users make smarter decisions before going to the hospital. It allows patients to estimate OP waiting time, identify the appropriate department based on symptoms, compare hospitals, and choose a better time slot for consultation.
Many patients visit hospitals without knowing the expected OP waiting time, the most suitable department for their symptoms, or whether another time slot or nearby hospital would be faster. This causes unnecessary waiting, confusion, and poor visit planning, especially for first-time visitors, elderly patients, and people traveling from a distance.
This project is built as a frontend web prototype using HTML, CSS, and JavaScript.
- Symptom-based department suggestion
- Urgency level identification
- OP waiting-time estimation
- Best time-slot recommendation
- Token-based waiting estimation
- Nearby hospital comparison
- Smart Recommendation Engine for best next action
- Prepared Visit Checklist for better visit readiness
The current prototype uses a structured sample dataset based on realistic outpatient (OP) patterns. It includes:
- Department-wise waiting estimates for multiple hospitals
- Morning / afternoon / evening load variations
- Simulated token flow using current token, average consultation time, and doctor availability
I chose this idea because many patients face uncertainty before hospital visits. They may not know which department to choose, how long they may need to wait, or whether another time slot or nearby hospital could reduce the waiting time. MediQueue aims to improve hospital visit planning and reduce unnecessary OP crowding from the patient side.
- Repository Link: https://github.com/ritzyeg/MEDIQUEUE
- Project Deployed Link: https://ritzyeg.github.io/MEDIQUEUE/