Automate Medical Information Organization with n8n

What this is, in plain English

n8n is a free-tier automation tool where you connect building blocks (“nodes”) into a pipeline that runs by itself, like a visual version of writing a script. This particular pipeline watches your Gmail for medical documents (lab reports, bills, medicine details), uses AI to sort each one by type, and files it automatically into the right Google Doc or Sheet, even fetching medicine prices from GoodRx along the way.

Be honest about the level: although n8n is “no-code” on the surface, building this pipeline is involved. It wires together Gmail, an AI classifier, Google Docs and Sheets, and a web scraper, needs API keys, and includes a custom code step. The author shares the design, not a one-click import, so this is intermediate. This page explains what it does, what it is good for, and the realistic shape of building it.

What you can use it for

• A tidy personal medical archive. Auto-file reports, bills, and prescriptions so nothing gets lost in your inbox.
• Insurance claim prep. Collect bills and invoices into one place, ready to submit.
• Small clinic or pharmacy admin. Sort incoming documents and track medicine prices automatically.
• The reusable pattern: “watch an inbox, let AI sort each message, file it in the right place” works for invoices, receipts, or any document stream, not just medical ones.

Tools you need

• n8n (freemium): the automation tool you build the pipeline in. Generous free tier.
• Gmail (free): the inbox the pipeline watches for incoming documents.
• Google Docs and Google Sheets (free): where sorted documents and data are filed.
• An AI model (key needed): powers the classifier that decides what each email is. n8n connects to one via an API key.
• Bright Data (freemium) and GoodRx (free): used to scrape live medicine prices.

How it actually works

You build a pipeline of nodes that triggers on new mail and routes by type. The realistic shape:

1. Trigger on new Gmail. Add a Gmail node that fires when a medical email with an attachment arrives. (Your Gmail needs IMAP enabled so n8n can read it.)
2. Classify each email with AI. An AI Text Classifier node reads the subject and body and labels it (reports, blood tests, medicines, bills).
3. Route reports to Google Docs. For lab and imaging reports, create or update a Google Doc for that category.
4. Route medicines to Google Sheets. For medicine info, add a row to a Sheet, and use Bright Data to scrape current prices from GoodRx.
5. Route bills to a Docs draft. Put invoices into a draft Doc you review by hand before any insurance claim.
6. Scrape extras as needed. Use Bright Data with an HTTP Request node for any other data the pipeline needs.

Words you’ll see, explained

• n8n: a tool for building automations by connecting nodes, instead of writing a full program.
• Node: one building block in the pipeline (a Gmail step, an AI step, a Google Sheets step).
• Trigger: the event that starts the pipeline (here, a new email arriving).
• AI classifier: an AI step that sorts each item into a category.
• Web scraping / Bright Data: automatically pulling data off websites (here, medicine prices).
• IMAP: the email setting that lets another program read your Gmail.

Original source

Based on hargunkaur’s submission to the n8n and Bright Data AI Agents Challenge, on the DEV Community blog, automating the collection and sorting of personal medical information.

Notes & variations

• Do you even need this? For a handful of documents, filing them by hand is simpler. This pays off with a steady stream of medical mail.
• Privacy first: medical information is sensitive. Make sure you are comfortable with where it is stored (your own Google account) and who can see it before automating.
• Free-tier tip: n8n’s free tier and Google’s services cover personal use; use Bright Data’s free trial or limited tier to start.
• Common pitfall: forgetting to enable IMAP on Gmail (so n8n cannot read mail), and hitting API rate limits on the AI or Gmail.
• Tip for better results: make your classifier prompt specific about the exact document types you receive, so sorting is accurate.