MediwoxPlus

Homepage (Your Health, Our Priority) "Your Health, Our Priority – World-class care at your fingertips."
Patient Login Page "Secure Patient Login – Access your health records anytime."
Patient Dashboard "Welcome Back – Manage appointments and connect with doctors easily."
Book Appointment Form "Book an Appointment – Quick, simple, and hassle-free scheduling."
Doctor Login Page "Doctor Login – Manage patient care with ease and security."
Doctor page -patient appointment view dashboard
Appointments Page "View & Manage Appointments – Stay updated with patient details."

Inspiration

Healthcare systems often face appointment overload, where patients wait too long while providers are overbooked. I wanted to build a fair, automated, and scalable booking system that ensures timely appointments while distributing workload evenly across doctors.

Inspired by:

The need for digital-first healthcare platforms,
The challenge of designing a serverless, scalable backend,
My interest in applying scheduling algorithms like round-robin to solve real-world problems.

What it does

Mediwox Health is a serverless healthcare booking platform that:

Fairly distributes patient appointments among available providers using round-robin scheduling,
Sends automatic email confirmations and SMS reminders,
Provides a patient-friendly booking interface,
Stores prescriptions, reports, and attachments securely,
Scales seamlessly to handle thousands of concurrent bookings.

How we built it

The system is designed as a serverless web app on AWS:

AWS Lambda → Core booking + notification logic
DynamoDB → Stores patient, provider, and appointment data
S3 → Secure storage for prescriptions and reports
SES → Email confirmations
SNS → SMS reminders
API Gateway → REST API for frontend communication
React.js + TailwindCSS → Patient-facing booking UI

The round-robin scheduling algorithm ensures fairness:
ProviderIndex = (Counter \mod NumberOfProviders)

Challenges we ran into

Idempotency → Preventing duplicate bookings when multiple requests hit Lambda simultaneously
Hot counters in DynamoDB → Avoiding performance bottlenecks with heavy traffic
Notifications → Configuring SES verification & SMS delivery in multiple regions
Scalability → Designing DynamoDB schemas for high concurrency
Security → Protecting sensitive patient health data with encryption + IAM least-privilege policies

Accomplishments that we're proud of

Successfully built a scalable, fault-tolerant serverless system
Automated fair distribution of patient load across providers
Integrated real-time notifications (email + SMS)
Delivered a modern, easy-to-use booking interface

What we learned

Designing scalable serverless systems on AWS
Applying DynamoDB best practices (idempotency, conditional writes, partitioning)
Implementing round-robin scheduling in production systems
Managing cloud notifications (SES & SNS)
Securing sensitive healthcare data end-to-end