Patient Experience Feedback Loop for Radiology Practice Managers with Epic Radiant
The Problem
Radiology practices learn about bad experiences from Google reviews instead of closed-loop feedback — reputation damage compounds before the practice can intervene.
What We Build in Epic Radiant
AI sends post-visit surveys, flags detractors for same-day outreach, and routes promoters to review sites — reputation and clinical quality move in the same direction. Purpose-built for teams running Epic Radiant — uses the native API or agent integration so nothing leaves the system of record.
Epic Radiant Integration Approach
Audit your Epic Radiant configuration
We map the specific Epic Radiant objects, custom fields, and workflows the automation needs to touch for your radiology practice.
Build on the Epic Radiant API or agent
Integration happens inside Epic Radiant — no data leaves the system, no parallel tool for your team to learn, no license changes.
Human-in-the-loop handoff
Every automation routes exceptions back to a human in Epic Radiant with enough context to act — AI handles the 80%, your team owns the judgment calls.
See this running in your Epic Radiant instance
30-minute call. We'll look at your actual Epic Radiant setup and show exactly how this workflow fits.