MHRS Android Hospital Appointment System

This project is an Android-based hospital appointment system inspired by Turkey’s Central Hospital Appointment System (MHRS). It aims to simulate a real-world healthcare booking workflow, allowing users to manage appointments through a mobile application.

Overview

The application provides a structured system where users can select hospitals, choose departments and doctors, and book available time intervals. It focuses on building a scalable and maintainable mobile system using core software engineering principles.

Technical Stack

• Language: Java
• Platform: Android SDK
• Database: SQLite (local storage) + Firebase Realtime Database (cloud synchronization)
• Build System: Gradle
• Testing: JUnit

Features

• User registration and login system
• Hospital selection
• Department and doctor selection
• Appointment booking with time interval selection
• Appointment state management (availability tracking)
• Admin panel for adding/removing hospitals and doctors (for testing/debugging)

Architecture & Design

The system is designed with a modular structure including:

• User management module
• Hospital & doctor database structure
• Appointment scheduling system

The database follows a relational design:

• Hospitals contain multiple doctors
• Doctors have multiple available time intervals
• Appointments are linked to users and update availability status

This structure ensures data consistency and scalability.

Data Management

• SQLite is used for local data persistence and offline access
• Firebase Realtime Database is integrated for cloud synchronization and data reliability

Screenshots

User Flow: Login → Hospital Selection → Department & Doctor Selection → Appointment Booking

Testing

Basic unit tests are implemented using JUnit to verify:

• Appointment booking logic
• Department recommendation logic (symptom-based mapping)

Example:

• Input: "başım ağrıyor"
• Output: "Neurology"

Challenges

• Learning Android development from scratch
• Debugging performance issues in Android Studio
• Managing data consistency between local and cloud databases
• Handling appointment availability logic

Ongoing Development

• Accessibility mode for elderly users (larger fonts, high contrast UI)
• Improved UI/UX design
• Enhanced cloud integration
• Symptom-based department recommendation system

Future Improvements

• Full authentication and security system
• REST API integration
• More advanced recommendation algorithms
• Nationwide scalability

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Developed as a Computer Engineering project.