Surgery Sidekick

The Surgery Scheduling System is a web application designed to help streamline the process of scheduling surgeries for a medical facility. It provides a Kanban-style user interface for easy visualization and management of surgery requests, patient information, and surgical team assignments.

Features

• Kanban Board Interface: Organize surgery requests into columns based on their status, such as "New Requests," "Scheduled," "Completed," etc.

• Patient Management: Store and manage patient information, including name, medical record number (MRN), insurance details, and contact information.

• Surgery Details: Track surgery details, including the surgery date, pre-surgery appointment date, assigned provider, imaging requirements, clearances, and additional comments.

• Surgical Team Assignment: Assign surgeons and physician assistants (PAs) to surgeries and track the surgical team for each procedure.

• Real-Time Updates: The Kanban board updates in real-time to keep all users informed about the latest changes to the surgery schedule.

Tech Stack

• Front-end: React.js, CSS, HTML.

• Back-end: Python (Flask or Django) with SQLite database.

Getting Started

Follow these instructions to set up the project on your local machine for development and testing purposes.

1. Prerequisites: Ensure you have Node.js, npm, and Python installed on your system.

2. Clone the Repository: git clone https://github.com/yourusername/surgery-scheduling.git

3. Front-end Setup: Navigate to the surgery-scheduling directory and run npm install to install the required dependencies.

4. Back-end Setup: (Assuming you have Python and pip installed) Create a virtual environment, activate it, and install the required Python dependencies:

   cd backend
   python -m venv venv
   source venv/bin/activate    # On Windows, use `venv\Scripts\activate`
   pip install -r requirements.txt

5. Database Setup: The SQLite database is already included in the repository (surgery_scheduler.db), and it contains some sample data. If you wish to start with a clean database, delete the existing database file and create a new one using the instructions in the backend section.

6. Run the Application: Start the React development server and the Python server by running the following commands in separate terminal windows:

   # In the root directory of the project
   npm start
   
   # In the backend directory
   python app.py

   The React app will run on http://localhost:3000, and the Python server will run on http://localhost:5000.

7. Contributing: If you'd like to contribute to the project, feel free to open issues and pull requests with your improvements.

License

This project is licensed under the MIT License.

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