LLM HIPAA Compliant Healthcare Document Analysis: Medical Records, Claims, and Compliance

This workflow automates HIPAA-compliant healthcare document processing, analyzing medical records, prescriptions, insurance claims, lab results, and patient forms using OpenAI. Key nodes include Webhook for secure uploads, Condition for HIPAA validation, Switch for document classification, Agent for AI analysis, Set for metadata and compliance, and Webhook Response for structured outputs. To set up, download n8n from n8n.io for self-hosting or sign up at cloud.n8n.io. Obtain an OpenAI API key from platform.openai.com and healthcare API credentials from your provider (e.g., EHR system); add them under Credentials > Add Credential > OpenAI API and HTTP Header Auth. Import the workflow JSON via Workflows > Import. Configure the Webhook node with path /healthcare-document-upload, set to POST, and include CORS headers (Access-Control-Allow-Origin: *). Use ngrok for local webhook testing to expose the URL. Ensure HTTPS for secure transmission. Test by sending a POST request to the webhook with JSON containing document content, patientId (6-20 alphanumeric characters), and documentType (e.g., medical_record). Include headers x-api-key and x-hipaa-authorization. Verify Condition nodes check API key, HIPAA authorization, and content size (<25MB). Switch node routes to Agent nodes for analysis (e.g., medical record processing). Webhook Response returns JSON with analysis, compliance status, and metadata. Handle errors like missing API keys (401 response with 'HIPAA_SECURITY_VALIDATION_FAILED') or invalid patientId/documentType (400 response with 'INVALID_HEALTHCARE_INPUT'). Deploy by saving and enabling the workflow, ensuring webhooks are active. Validate outputs in the Set node for HIPAA compliance and processing summary in the Webhook Response. For issues, confirm API credentials, HTTPS usage, and a valid patient ID format. Test with sample data (e.g., medical record with patientId 'MRN123456789') to ensure analysis includes clinical data, compliance, and recommendations.