This project is a Streamlit-based dashboard designed to help visualize and optimize practice variables for both surgeons and non-surgeon providers. It allows users to adjust various parameters to see how they affect metrics such as wRVUs, patient counts, and revenue projections.
- General Settings: Configure the number of new and established patients per session, sessions per week, and weeks per year.
- Diagnosis Group Distribution: Adjust the percentage distribution of different diagnosis groups.
- Juice to Squeeze Ratio: Define the percentage of patients who will undergo surgical or advanced therapy within six months.
- New and Established Patient Charge Distribution: Set the distribution of billing codes for new and established patients.
- Average wRVU per Case: Input the average wRVUs for different types of cases.
- Projections and Summaries: View detailed wRVU summaries, patient counts, and code counts in a tabular format.
To run this dashboard locally, you need to have Python installed. Follow these steps to set up the project:
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Clone the repository:
git clone https://github.com/stuboo/practice_calculator.git cd practice_calculator -
Create a virtual environment and activate it:
python -m venv venv source venv/bin/activate # On Windows, use `venv\Scripts\activate`
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Install the required packages:
pip install -r requirements.txt
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Run the Streamlit app:
streamlit run app.py
Once the app is running, you can access it in your web browser. The dashboard has two main tabs:
- Adjust settings for new patients, sessions per week, and weeks per year.
- Configure diagnosis group distributions and juice to squeeze ratios.
- Set distributions for new patient charge codes.
- Input average wRVUs for different types of cases.
- View projections and summaries for wRVUs.
- Similar settings as the Main Projections tab but geared towards non-surgeon providers.
- Includes settings for both new and established patients.
- View detailed wRVU summaries, patient counts, and code counts.
You can customize the dashboard by modifying the code in app.py. The ProjectionCalculator class encapsulates the logic for calculating projections and can be extended or modified to fit different requirements.
Contributions are welcome! Please fork the repository and submit a pull request with your changes. Ensure your code follows the project's coding standards and includes appropriate tests.
This project is licensed under the MIT License. See the LICENSE file for details.
For questions or feedback, please open an issue in the repository or contact the project maintainer.