Unlock Population-Level Data from Epic in Minutes – No Code Required

The Challenge: Big Data, Bigger Complexity

Healthcare organizations sitting on mountains of valuable patient data face a common frustration: getting it out efficiently.

Whether you’re building analytics dashboards, feeding AI models, syncing your data warehouse, or preparing research cohorts — extracting population-level data from Epic traditionally meant weeks of custom development, complex API integrations, and ongoing maintenance headaches.

ConnectHealth.ai changes everything.

With our visual workflow builder, you can set up automated bulk data exports from Epic in under 30 minutes — and you won’t write a single line of code.

What our customers are doing with Bulk Export:

• Real-time population health dashboards
• Training AI/ML models on clinical data
• Nightly data warehouse synchronization
• Research cohort extraction at scale
• Automated regulatory reporting

Ready to unlock your data? Let’s dive in.

Step 1: Connect to Epic in Minutes

ConnectHealth.ai makes connecting to Epic’s Backend Services effortless. No infrastructure to manage, no complex OAuth flows to implement — just point, click, and connect.

A. Navigate to Your Dashboard

From your ConnectHealth.ai dashboard, click Connections to see all your EHR integrations in one place.

B. Add Your Epic Connection

Click “Add New Connection” and select Epic from our library of supported EHR systems.

C. Choose Backend-to-Backend

For bulk exports, select “Backend to Backend” — this enables secure, automated data access without user intervention

D. Enter Your Credentials

Simply paste your Epic credentials and add the generated JWKs URL in your Epic App— ConnectHealth.ai handles all the JWT signing, token exchange, and authentication complexity behind the scenes.

E. Verify with One Click

Hit “Run Connection Test” and watch ConnectHealth.ai validate your entire integration in seconds.

🎉 That’s it. You’re connected to Epic and ready to build.

Step 2: Build Your Bulk Export Workflow — Visually

This is where ConnectHealth.ai really shines. Our visual workflow engine lets you design sophisticated data pipelines by simply dragging and connecting nodes.

A. See It in Action

Here’s a production-ready Patient Bulk Export workflow built entirely in our visual editor:

The workflow handles everything: authentication, export initiation, progress monitoring, error handling, and data retrieval — all through intuitive visual nodes.

B. Three Simple Sections

i. Section 1: Kickoff — Start Your Export

Drag these nodes onto the canvas:

Backend to Backend → Automatically obtains your access token
Bulk Export Kickoff → Sends the export request to Epic

Configure the Kickoff node:

• Select your Epic connection
• Enter your Group ID
• Choose resource types (Patient, Encounter, Observation, etc.)

That’s the entire authentication logic. No token management code. No refresh logic. No error handling boilerplate. ConnectHealth.ai handles it all.

ii. Section 2: Monitor — Smart Progress Tracking

Add the Bulk Export Status node with auto-polling enabled. It will:

• Check status every 5 seconds
• Handle “in progress” responses gracefully
• Automatically detect completion
• Route errors to your error handler

Traditional approach: 50+ lines of polling code with retry logic
ConnectHealth.ai: One node, one toggle

iii. Section 3: Download — Get Your Data

The Bulk Export Retrieve node downloads all exported files automatically:

Step 3: Deploy and Run

A. One-Click Deployment

Click Deploy — your workflow is instantly live and production-ready.

B. Multiple Trigger Options

C. Your Data, Delivered

Bulk exports arrive as industry-standard NDJSON files:

{“resourceType”:”Patient”,”id”:”12345″,”name”:[{“family”:”Smith”,”given”:[“John”]}]}

{“resourceType”:”Patient”,”id”:”67890″,”name”:[{“family”:”Johnson”,”given”:[“Jane”]}]}

Send your data anywhere:

Why Teams Choose ConnectHealth.ai for Bulk Export

A. Before ConnectHealth.ai

• Weeks of custom development
• Complex OAuth implementation
• Manual error handling code
• Ongoing maintenance burden
• Security and compliance concerns

B. With ConnectHealth.ai

• 30 minutes to production
• Enterprise-grade security built-in
• Visual debugging and monitoring
• Automatic error recovery
• HIPAA-compliant infrastructure

Quick Reference

A. The Nodes You’ll Use

Common Resource Combinations