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Extract Physician Orders from Documents to Google Sheets with VLM Run AI

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Created by: Shahrear || shahrear

Shahrear

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Last update 21 days ago

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Process Physician Orders into Google Sheets with VLM Run AI Extraction

What this workflow does

  1. Monitors Google Drive for new physician order files in a target folder
  2. Downloads the file automatically inside n8n for processing
  3. Sends the file to VLM Run for AI transcription and structured data extraction
  4. Parses healthcare-specific details from the healthcare.physician-order domain as JSON
  5. Appends normalized attributes to a Google Sheet as a new row

Setup

Prerequisites: Google account, VLM Run API credentials, Google Sheets access, n8n.
Install the verified VLM Run node from the n8n node list, then click Install. Once installed, you can integrate it directly in your workflow.

Quick Setup:

  1. Create the Drive folder you want to watch and copy its Folder ID
  2. Create a Google Sheet with headers such as:
    timestamp, file_name, file_id, mime_type, size_bytes, uploader_email, patient_name, patient_dob, patient_gender, patient_address, patient_phone_no, physician_name, physician_phone_no, physician_email, referring_clinic, diagnosis, exam_date, form_signed_in, …other physician order fields as needed
  3. Configure Google Drive OAuth2 for the trigger and download nodes
  4. Add your VLM Run API credentials from VLM Run Dashboard to the VLM Run node
  5. Configure Google Sheets OAuth2 and set Spreadsheet ID + target tab
  6. Upload a sample physician order file to the Drive folder to test, then activate

Perfect for

  • Converting physician order documents into structured, machine-readable text
  • Automating extraction of patient, physician, and clinical details with VLM Run
  • Creating a centralized archive of orders for compliance, auditing, or reporting
  • Reducing manual data entry and ensuring consistent formatting

Key Benefits

  • End-to-end automation from Drive upload to structured Google Sheets row
  • AI-powered accuracy using VLM Run’s healthcare-specific extraction models
  • Standardized attribute mapping for patient and physician records
  • Instantly searchable archive directly in Google Sheets
  • Hands-free processing once the workflow is activated

How to customize

Extend by adding:

  • Attribute-specific parsing (e.g., ICD/CPT diagnosis codes, insurance details)
  • Automatic classification of orders by specialty, urgency, or exam type
  • Slack, Teams, or email notifications when new physician orders are logged
  • Keyword tagging for fast filtering and downstream workflows
  • Error-handling rules that move failed conversions into a review folder or error sheet