Welcome to PSS9-Healthcare, a tool for analyzing healthcare data breaches over the past few years leveraging OCR/HHS annual breach report to congress. This project combines security analytics (maybe) with interactive data exploration to empower users in the healthcare industry.
PSS9-Healthcare is designed to provide insights into healthcare data breaches, leveraging both Streamlit and Datasette for an enhanced user experience. Users can interact with custom dashboards, filter breach data, and conduct detailed queries, all within a unified application.
- Interactive Dashboards: Explore healthcare data breaches with dynamic visualizations built with Streamlit.
- Custom Filters: Narrow down breach data by state, type of breach, and more.
- Datasette Integration: Dive deeper into the data with SQL-powered queries via an embedded Datasette instance.
- Comprehensive Analysis: View trends, patterns, and key statistics related to breaches in the healthcare industry.
- Python 3.x
- Pip (Python package installer)
- UV (astral-sh UV for pip package installer) - optional
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Clone the repository:
git clone https://github.com/jwalker/PSS9-Healthcare.git cd PSS9-Healthcare -
Install dependencies:
uv pip install -r requirements.txt
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Prepare the SQLite database:
Convert the provided CSV data into an SQLite database (if not already done): Note: You can get an update CSV from https://ocrportal.hhs.gov/ocr/breach/breach_report.jsf
python convert_csv_to_sqlite.py
4 Run the application:
streamlit run app.pyThis will start both the Streamlit app and Datasette, accessible through your web browser.
- Streamlit Dashboards: Access the interactive dashboards to filter and visualize healthcare breach data.
- Datasette: Use the embedded Datasette interface for advanced data querying.
This project is licensed under the MIT License. See the LICENSE file for more details.