Patient Experience Feedback Loop for Oncology Practice Managers with Flatiron OncoEMR
The Problem
Medical Oncology 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 Flatiron OncoEMR
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 Flatiron OncoEMR — uses the native API or agent integration so nothing leaves the system of record.
Flatiron OncoEMR Integration Approach
Audit your Flatiron OncoEMR configuration
We map the specific Flatiron OncoEMR objects, custom fields, and workflows the automation needs to touch for your medical oncology practice.
Build on the Flatiron OncoEMR API or agent
Integration happens inside Flatiron OncoEMR — 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 Flatiron OncoEMR with enough context to act — AI handles the 80%, your team owns the judgment calls.
See this running in your Flatiron OncoEMR instance
30-minute call. We'll look at your actual Flatiron OncoEMR setup and show exactly how this workflow fits.