Rx Refill Request Processing for Ophthalmology Practice Managers with RevolutionEHR
The Problem
Refill requests flood the Ophthalmology practice through Nextech, pharmacies, and patient calls — nurses triage them between clinical work and slip up under volume.
What We Build in RevolutionEHR
AI classifies each refill request against protocol, auto-approves routine refills with provider sign-off, and escalates anything requiring clinical judgment — nurse hours return to clinical work. Purpose-built for teams running RevolutionEHR — uses the native API or agent integration so nothing leaves the system of record.
RevolutionEHR Integration Approach
Audit your RevolutionEHR configuration
We map the specific RevolutionEHR objects, custom fields, and workflows the automation needs to touch for your ophthalmology practice.
Build on the RevolutionEHR API or agent
Integration happens inside RevolutionEHR — 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 RevolutionEHR with enough context to act — AI handles the 80%, your team owns the judgment calls.
See this running in your RevolutionEHR instance
30-minute call. We'll look at your actual RevolutionEHR setup and show exactly how this workflow fits.