Queue Cure — Digital Clinic Queue Manager

# 🏥 Queue Cure — Digital Clinic Queue Manager 76% of India’s 1.5M clinics still run on paper slips and shouting. Patients wait 2–3 hours with zero visibility. Doctors have no dashboard. Receptionists manage everything from memory. **Queue Cure** fixes this with a live digital queue manager — visible to patients on their phone, controlled by the receptionist on one screen. --- ## ✨ Key Outcomes - **Receptionist efficiency:** Add patient + assign token in **<10 seconds** - **Patient transparency:** Live updates on phone — **no refresh needed** - **Real data:** Estimated wait time computed Process We started by framing the problem with evidence: 76% of India’s clinics still rely on paper slips and shouting. Patients wait 2–3 hours with no visibility, doctors lack dashboards, and receptionists manage everything from memory. Our approach was lean and practical: Researched clinic workflows by observing reception desks and patient waiting rooms. Identified three critical requirements: add patient in <10s, live updates without refresh, and wait time from real data. Chose a lightweight tech stack (Node.js, Express, Socket.IO) for real‑time sync. Iterated quickly: first tried polling with setInterval (too slow), then switched to WebSockets for instant updates. Designed two screens: Receptionist dashboard (add patient, call next, set avg time) and Patient view Results Receptionist can add patient and assign token in <10 seconds. Patient screen updates instantly when “Call Next” is clicked — no refresh required. Estimated wait time is computed from queue length × avg consultation time, not hardcoded. Demo moment: “The moment the receptionist clicks Call Next, every patient’s phone updates instantly with their new wait time — no shouting, no confusion.” Feedback from early testers: patients felt less anxious knowing their wait time, receptionists reported reduced chaos. Reflection Add SMS/WhatsApp alerts so patients don’t need to stay in the waiting room. Build a doctor dashboard to track consultation stats and throughput. Include analytics for clinic owners (average wait, patient flow, busiest hours). Improve accessibility with multilingual support for rural clinics. Next iteration: integrate with hospital management systems for seamless adoption.