Extract Clinical Data from Medical Documents with PDF Vector (HIPAA Compliance)

This n8n workflow provides a robust solution for extracting clinical data from medical documents, leveraging PDF vectorization for enhanced accuracy and ensuring HIPAA compliance. It's designed to automate the process of ingesting medical records, processing them, and storing the extracted information securely.

What it does

This workflow orchestrates the following key steps:

1. Manual Trigger: The workflow is initiated manually, allowing for on-demand processing of documents.
2. Conditional Logic: It includes an If node, which suggests that it processes data conditionally. While the specific conditions are not defined in the provided JSON, this node enables branching logic based on certain criteria of the input data.
3. Data Storage (Postgres): One branch of the conditional logic leads to a Postgres node, indicating that extracted or processed data can be stored in a PostgreSQL database. This is crucial for structured storage and retrieval of clinical information.
4. File Management (Google Drive): Another branch leads to a Google Drive node, suggesting that the workflow interacts with Google Drive, potentially for storing original documents, processed files, or reports.
5. Custom Code Execution: A Code node is included, allowing for custom JavaScript logic to be executed within the workflow. This is where complex data parsing, transformation, or integration with specialized APIs (e.g., for PDF vectorization or clinical NLP) would typically occur.
6. Informational Notes: A Sticky Note is present, which serves as a place for human-readable comments or instructions within the workflow, aiding in documentation and understanding.

Prerequisites/Requirements

To effectively use and configure this workflow, you will need:

• n8n Instance: A running instance of n8n.
• PostgreSQL Database: Access to a PostgreSQL database for storing extracted clinical data. You will need the database credentials (host, port, database name, user, password).
• Google Drive Account: A Google account with access to Google Drive for file storage. You will need to set up Google Drive credentials in n8n.
• Custom Code/APIs (Potential): Depending on the specific implementation within the Code node, you might need API keys or access to services for:
  • PDF vectorization (e.g., a service that converts PDFs into a searchable, structured format).
  • Clinical Natural Language Processing (NLP) for extracting entities and relationships from medical text.
  • Other HIPAA-compliant data processing services.

Setup/Usage

1. Import the workflow:
   • Copy the provided JSON workflow definition.
   • In your n8n instance, go to "Workflows" and click "New".
   • Click on the "Import from JSON" button and paste the copied JSON.
   • Click "Import".
2. Configure Credentials:
   • Locate the Postgres node and configure your PostgreSQL database credentials.
   • Locate the Google Drive node and configure your Google Drive (OAuth2) credentials.
3. Review and Customize Code Node:
   • Open the Code node. This is where the core logic for PDF vectorization and clinical data extraction will reside. You will need to implement or integrate your specific logic here, potentially calling external APIs or libraries.
   • Ensure any sensitive data handling within the Code node adheres to HIPAA compliance standards.
4. Define If Node Conditions:
   • Open the If node. Define the conditions that will determine whether the workflow proceeds to store data in Postgres or interact with Google Drive (or other branches you might add). This could be based on document type, data quality, or other business rules.
5. Activate the Workflow:
   • Once configured, save the workflow and activate it.
6. Execute the Workflow:
   • Click the "Execute Workflow" button on the Manual Trigger node to run the workflow. You can also set up other triggers (e.g., a Webhook, a Folder Watcher) if you want to automate the initiation based on new document arrivals.

Remember to thoroughly test the workflow with sample medical documents to ensure accurate data extraction and proper handling of sensitive information in accordance with HIPAA regulations.