/ERStreamline

ERStreamline is developed as a semester project, aimed at providing students with hands-on experience in designing and implementing database systems for critical healthcare settings. This project helped us apply our knowledge of backend and frontend technologies in a real-world scenario, addressing the challenges faced by emergency rooms.

Primary LanguageJavaScript

ERStreamline

ERStreamline is a specialized database system designed to streamline the operation of emergency rooms, surpassing traditional methods with efficient data retrieval and compliance with healthcare regulations. It provides real-time data access with strong security and scalability, catering to the critical healthcare setting of emergency departments.

Semester Project

ERStreamline is developed as a semester project, aimed at providing students with hands-on experience in designing and implementing database systems for critical healthcare settings. This project helped us apply our knowledge of backend and frontend technologies in a real-world scenario, addressing the challenges faced by emergency rooms.

Purpose

The main goal of ERStreamline is to simplify and increase the efficiency of emergency healthcare services. In the fast-paced setting of an emergency department, where time is of the essence, ERStreamline aims to provide healthcare workers with the resources they need to make swift decisions. The system's purpose is centered around real-time access to patient records, security measures, scalability, data integrity, and disaster recovery.

Scope

ERStreamline encompasses various functionalities tailored to address the specific features and demands of the emergency healthcare ecosystem. Key areas of focus include:

  • Real-Time Data Access: Providing instant access to test results, medical histories, and patient records.
  • Data Security and Compliance: Ensuring compliance with healthcare data privacy requirements (e.g., HIPAA) and safeguarding patient information through encryption, audit trails, and role-based access controls.
  • Scalability: Adapting to handle large volumes of patient data during emergencies or public health crises.
  • Data Integrity: Ensuring the correctness and consistency of data to prevent errors in patient treatment through the application of data validation rules and limitations.

Technologies Used

Backend

  • MongoDB
  • Node.js
  • Express.js
  • Postman

Frontend

  • React.js
  • HTML
  • CSS
  • Tailwind CSS

Diagrams

  • Draw.io
  • Lucidchart

Collaboration Tools

  • GitHub
  • LaTeX
  • Microsoft Teams

Getting Started

To get started with ERStreamline, follow these steps:

  1. Clone the repository: git clone https://github.com/thesumitshrestha/ERStreamline.git
  2. Install dependencies for the backend and frontend.
  3. Configure the backend settings, including MongoDB connection.
  4. Run the backend server using Node.js and Express.js.
  5. Start the frontend application using React.js.

For detailed instructions on setting up and using ERStreamline, refer to the documentation provided in the repository.

Contributing

Contributions to ERStreamline are welcome! To contribute:

  1. Fork the repository.
  2. Create a new branch: git checkout -b feature/new-feature
  3. Make your changes and commit them: git commit -am 'Add new feature'
  4. Push to the branch: git push origin feature/new-feature
  5. Submit a pull request.