Templates / Generate HIPAA-safe patient-friendly EMR summaries with GPT-4, PDF tools and Google Drive

Generate HIPAA-safe patient-friendly EMR summaries with GPT-4, PDF tools and Google Drive

Unknown

by Jitesh Dugar ✓ · 107 views · created 2026-01-08 · Document Extraction, AI Summarization

Unknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 16 nodes and runs from “HTTP: EMR PDF Intake” (no trigger node, so run it manually or call it from another workflow). Along the way it connects Postgres, Google Drive, Twilio and OpenAI Chat Model and 1 more.

How it runs

Trigger: From “HTTP: EMR PDF Intake” (no trigger node, so run it manually or call it from another workflow).

  1. HTTP: EMR PDF Intake (HTTP Request): calls an HTTP API
  2. Split PDF (Htmlcsstopdf): split pdf (pdf manipulation)
  3. Code: runs custom JavaScript code
  4. Switch: routes items into 4 branches
  5. Code: runs custom JavaScript code
  6. AI Agent: runs an AI agent, with model: OpenAI Chat Model
  7. Code: runs custom JavaScript code
  8. Merge: merges the data from its input branches
  9. Merge multiple PDFS into one (Htmlcsstopdf): work with pdf manipulation
  10. If: checks a condition and branches into true / false

…plus 5 more steps. See the full node list below.

Services it uses

PostgresGoogle DriveTwilioOpenAI Chat ModelHtmlcsstopdf (community)

Before you upgrade to n8n 3.0

We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).

  • Check that n8n-nodes-htmlcsstopdf is verified or supports 3.0 (used in Split PDF, Merge multiple PDFS into one).

Nodes used (13)

From the author

Medical Sovereign: Atomic Patient Portal Generator & HIPAA Triage Hub 🎯 Description This is an elite-tier HealthTech solution designed for the secure processing of high-volume medical records. Monolithic EMR exports (often 200+ pages) are atomized into…

Excerpt from Jitesh Dugar's description on n8n.io.

View the original on n8n.io → Check your own copy

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