A Clinic Management System based on three tier architecture made using ASP.NET, C#.
Overview
The Clinic Management System is an impressive software solution developed using C# and ASP.NET, designed to streamline the operations of healthcare clinics effectively. Created as a final project for the “Database Systems” course, this system features a well-structured database schema and is built on a robust 3-Tier Architecture, ensuring a clear separation of concerns between the user interface, business logic, and data access layers. This platform is perfect for clinics looking to enhance their appointment scheduling, patient management, and administrative functions.
The implementation of this system is not only technically sound but also user-friendly, providing functionalities that cater to the needs of patients, doctors, and administrators. As an open-source project, it invites collaboration and contributions, making it an attractive option for developers interested in contributing to healthcare technology.
Features
- User-Friendly Interface: The system boasts a clean and intuitive interface that makes navigation easy for both patients and clinic staff.
- Appointment Management: Patients can view current appointments, take new appointments, and receive notifications when their requests are accepted or rejected.
- Health Records Management: Doctors can update patient treatment histories, manage prescriptions, and generate bills efficiently.
- Administrative Insights: Administrators have access to comprehensive clinic statistics, including weekly appointments and patient registrations for informed decision-making.
- Secure Patient Profiles: Each patient can securely view their profile, billing history, and treatment history, promoting transparency and trust.
- Feedback System: After appointments, patients can provide feedback on their experiences, helping clinics improve services.
- Role-Based Access: The system effectively separates functionalities for patients, doctors, and administrators, ensuring that each user has access to relevant features based on their role.
- Scalability: Built on robust technologies, the system can be adapted and expanded as the clinic grows, ensuring longevity in its use.
