https://github.com/k3ury99/db-medicore

The MEDICORE system enhances hospital management with SQL Server for structured data, MongoDB for flexible queries, and Redis for fast in-memory access. It ensures efficient administration, robust integrity, and scalability, covering security, maintenance, and backup strategies.
https://github.com/k3ury99/db-medicore

mongodb-database redis-database sql-server

Last synced: 2 months ago
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The MEDICORE system enhances hospital management with SQL Server for structured data, MongoDB for flexible queries, and Redis for fast in-memory access. It ensures efficient administration, robust integrity, and scalability, covering security, maintenance, and backup strategies.

• Host: GitHub
• URL: https://github.com/k3ury99/db-medicore
• Owner: K3ury99
• License: mit
• Created: 2024-07-24T22:16:35.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-19T01:10:54.000Z (4 months ago)
• Last Synced: 2024-10-10T05:40:38.668Z (2 months ago)
• Topics: mongodb-database, redis-database, sql-server
• Language: C#
• Homepage:
• Size: 1.82 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 🚀 DB-MEDICORE Hospital Management System.

> [!IMPORTANT]

Welcome to the MEDICORE system documentation, an innovative solution designed to revolutionize hospital management through advanced database integration. MEDICORE optimizes hospital administration with SQL Server for structured data, MongoDB for flexible denormalized data, and Redis for ultra-fast in-memory access. It ensures robust referential integrity, efficient administration, superior query optimization, dynamic error management, and effective scalability. Additionally, the documentation covers security, maintenance, and backup strategies. Discover how MEDICORE transforms the efficiency and effectiveness of healthcare institutions!

## 🛠 Features

- **SQL Server**: Structured relational database for patient and doctor information, appointments, treatments, and laboratory results ensuring robust referential integrity.

- **MongoDB**: Flexible, denormalized data model optimizing queries and facilitating dynamic error management and scalability.

- **Redis**: In-memory data structure organizing information into hashes for ultra-fast data access, managed through a C# console interface.

## 💎 System Overview

### 🥘 SQL Server

- **Tables**: Patients, Doctors, Appointments, Treatments, LabResults.

- **Features**: Data integrity, efficient management, and comprehensive relational data handling.

### 🥘 MongoDB

- **Data Model**: Denormalized structure.

- **Features**: Optimized queries, dynamic error management, and effective scalability with indexing.

### 🥘 Redis

- **Data Structure**: Hashes.

- **Features**: High-speed data access and efficient management via a C# console application.

## 📔 Security and Maintenance

- **Security**: Data encryption.

- **Backup Strategies**: Disaster recovery protocols and regular data backups.

## 🐱‍👤 How to Use

1. **Clone the Repository**: `git clone https://github.com/yourusername/medicore.git`

2. **Database Setup**: Configure SQL Server, MongoDB, and Redis according to the provided documentation.

3. **Run the Application**: Execute the C# console application for Redis management.

## 🎈 Contributing

We welcome contributions! Please read our [contributing guidelines](CONTRIBUTING.md) for more details.

## 🔗 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

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For a detailed explanation, refer to the complete documentation in the `MEDICORE` folder.