Hospital Appointment System - BSc IT Project Guide
1. Introduction
The Hospital Appointment System is a web-based application designed to streamline the process of scheduling appointments with doctors. It enables patients to book appointments online, while allowing doctors and hospital administrators to manage their schedules efficiently.
2. Project Objectives
- To simplify the appointment scheduling process for
hospitals and patients.
- To provide real-time visibility into doctors' availability.
- To reduce long queues and waiting times.
- To maintain digital records of appointments and patient information.
- To send automated reminders and notifications to patients and doctors.
3. System Modules
a. Patient Registration and Login
b. Doctor Registration and Schedule Management
c. Appointment Booking and Confirmation
d. Admin Dashboard for Hospital Staff
e. Notification System (Email/SMS reminders)
f. Appointment History and Reports
4. Technologies Used
- Frontend: HTML, CSS, JavaScript, Bootstrap
- Backend: PHP / Django / Node.js
- Database: MySQL / PostgreSQL
- Tools: Email API, SMS Gateway (Optional)
5. Development Methodology
The system is developed using the Agile methodology, ensuring incremental progress, iterative development, and continuous stakeholder feedback for a more effective system.
6. System Design Overview
The application is designed with distinct user roles including patients, doctors, and administrators. Patients can browse doctors by specialty, view available slots, and book appointments. Doctors can update their availability, and admins can monitor system activity and manage users.
7. Testing
- Unit Testing for individual features like booking, login,
and notifications
- Integration Testing to ensure smooth communication between modules
- Usability Testing to assess ease of use for patients and doctors
- Load Testing to verify performance under peak usage
8. Conclusion
The Hospital Appointment System improves operational efficiency, enhances patient experience, and digitizes appointment management. It minimizes manual errors and facilitates better communication between patients and healthcare providers.