Deidentify app

The Deidentify app is a tool for redacting and replacing sensitive information in a document. It uses MedCAT, an advanced natural language processing tool, to identify and classify sensitive information, such as names, addresses, and medical terms.

Example

Features

• Redact sensitive information: The Deidentify app can automatically redact sensitive information from a document, replacing it with a placeholder value, such as "[REDACTED]".
• Replace sensitive information: Alternatively, the app can replace sensitive information with a different value, such as a random name or address, to maintain the structure and context of the original document.
• Add customizable rules: The app allows users to create custom rules for identifying and classifying sensitive information based on their specific needs and use cases.
• Batch processing: The app can process multiple documents at once, making it easy to redact or replace sensitive information in large datasets.

DeID Model

For out of the box models please contact: [email protected]

• Step 1: Upload your model to the models dir.

• Step 2: In the file .env change the MODEL_NAME parameter to the file name of your model. Save the changes you made to the .env file.

MODEL_NAME = '<NAME OF MODEL HERE.zip>'

Build your own model

To build your own models please follow the tutorials outlined in MedCATtutorials

Note: This is currently under development

Starting the demo service

Start the Docker services by using docker-compose. This will build the necessary Docker images and start the services.

docker-compose up

Once the services are up and running, you can access the Deidentify app in your web browser by navigating to http://localhost:8002.

Setup from source

• Install dependencies:

pip install -r requirements.txt

• Set up the database:

python manage.py migrate

Frontend Dependencies

This project uses frontend dependencies managed by npm. To install them, follow these steps:

1. Make sure you have Node.js and npm installed on your system.

2. Navigate to the project's app directory.

3. Run the following command to install the frontend dependencies:

   npm install

   npm run build

Run the app:

python manage.py runserver 8002