“Less waiting, more healing.”
“Where patient time matters most”
The innovators behind QClinic
Full Stack Developer
Frontend Developer
AI
Backend
Identifying the core challenges in healthcare management
30–90 mins avg, missed follow-ups
No doctor availability updates
Paper/scattered history slows care
Calls missed, hard to reach clinics
Consultation & test costs unclear
Errors, double slots, overcrowding
40% staff time spent on non-medical tasks
Slows consultations, repeat questions
No automated reminders, low retention
A comprehensive platform revolutionizing healthcare queue management
QClinic provides a unified platform for real-time queue and clinic availability data with an intuitive map-first interface.
View nearby clinics with live wait times, request slots with confirmation, and chat directly with staff for clarifications.
Admin panel for real-time queue management, priority tagging, slot updates, and delay alerts to reduce chaos and improve efficiency.
Comprehensive tools for patients, clinics, and administrators
Search & view clinics on a map with real-time availability and distance.
Virtual check-in, view position in queue, estimated wait time.
Alerts via push, SMS, or voice for updates and reminders.
Direct connect with staff for clarifications, rescheduling, or service questions.
Powering QClinic with real-time chat, maps and secure backend
Structured approach to bringing QClinic to life
Identify stakeholders, collect requirements, define success metrics
Create architecture, DFDs, database schema, wireframes, finalize tech stack
Build patient & clinic modules, basic notifications, initial testing
Add advanced features (chat, analytics, multilingual, maps, queue updates), ensure security
Functional, performance, and security testing, pilot user validation, feedback integration
Deploy on cloud, release mobile & web apps, onboard first clinics, train staff
Track metrics, release updates, plan integrations with healthcare systems & insurance
Expanding horizons for next-generation healthcare technology
Integration with AI diagnostic tools for preliminary health assessments
Video consultations and remote patient monitoring capabilities
Secure, immutable patient health records using blockchain technology
ML algorithms to predict patient flow and optimize clinic operations
Direct integration with insurance providers for seamless claim processing
Integration with wearable devices and IoT health monitoring systems
Transforming healthcare delivery for better patient outcomes