Referral CareFlo AI
The Referral CareFlo AI streamlines the referral intake process for agencies.
Referral CareFlo AI App
The Referral CareFlo AI App enables agencies to monitor the referral intake process while the Referral CareFlo AI operates seamlessly in the background.
Referral CareFlo AI App with Timeline(New)
The Referral CareFlo AI App enables agencies to monitor the referral intake process while the Referral CareFlo AI operates seamlessly in the background. The CareFlo App now features a user-friendly timeline to easily track each referral’s progress.
CareFlo – EMR Wellsky Kinnser Integration
AutomationEdge CareFlo delivers a zero-touch integration for WellSky Kinnser, ensuring seamless clinical continuity through automated chart creation and real-time EMR updates. This video showcases how AI handles the end-to-end referral intake process, from duplicate checks and demographic entry to insurance verification.
Referral Assure CareFlo AI
Manual home health referrals overwhelm intake teams and risk missed NOA and Face-to-Face deadlines—causing compliance issues and revenue loss. AutomationEdge Referral Assure CareFlo AI automates Referral Intake and Admission, streamlining the process, protecting revenue, and ensuring nurses have complete clinical information.
Referral Intake CareFlo AI Gold
CareFlo AI Gold automates referrals by integrating with major portals and EMRs, cutting intake time from 30 minutes to seconds with human-in-the-loop verification. It also automates eligibility checks, NOA, and chart creation to speed up patient care.
Referral Intake CareFlo AI Bronze
CareFlo AI Bronze extracts structured data from PDFs in under 30 seconds, replacing a 20-minute manual task. It enables faster triage, quicker acceptance, and helps capture referrals and revenue ahead of competitors.
Referral Summary & ICD-10 Coding
Experience how AutomationEdge’s CareFlo AI transforms complex referral documents into precise, actionable clinical insights. This demo showcases the end-to-end process of uploading referrals, utilizing Code Assist for diagnosis accuracy, and refining data through an intuitive clinician-in-the-loop interface.