AI Ambulatory

Problem

Use Cases

Features

ROI

Demo Calls

Section 01

Problem

The work around the visit isn’t staffed and isn’t billed, so it happens only when someone has a spare minute.

Intake before, education during, the visit summary reinforced, the medication counseling delivered, the referral after. All of it is real clinical labor with no billing code, and it’s the first thing dropped when volume rises.

Referrals show it plainly. One gets written; it then depends on the patient to finish it alone. A specialty referral completed in-network is worth about $900 professionally and considerably more downstream. Most of the consults that never happen simply had nobody attached to them.

For the patient, the fifteen minutes in the room is the smallest part of their care. The days and weeks afterward are where treatment succeeds or fails, and that is the part handed back to them.

Section 02

Use Cases

Intake
Visit Education
After Visit Summary
Rx Counseling
Referral Management

Section 03

Features

Features:

Pre-visit intake with initial appointment questions and structured form fill at 99.3% non-linear intake.
Anticipatory Guidance and Contextual Understanding supervisor models for unfamiliar procedures.
Visit education and after-visit summary delivery built on benchmarked call-summarization accuracy.
Rx counseling on the full drug-knowledge stack (Drug Safety 99.95%, interactions, contraindications, brand-to-generic mapping, Drug Name Pronunciation 82.99%).
Health Literacy supervisor model.
Referral management with Specialty Appointment Scheduling and Provider Match supervisor models — provider lookup, slot retrieval, confirm-before-booking — so the referral is completed in-call and stays in-system.
Interlinked RAG so a cost or coverage question is answered in a single turn instead of becoming a callback.
Intuition Engine and Implicit Understanding supervisor models.
Trust Building supervisor model.
Mid-call language switching at 98.8%.
Multi-call Memory across the visit episode.
Structured EHR write-back.

Live across Cincinnati Children’s, Summa Health, and Cleveland Clinic.

Section 04

ROI

SAMPLE USE CASE: Referral Management (intake & completion) → ROI: $37.9M engine-computed on 19.6K patients (~$1.9K per patient incl. downstream)

Section 05

Demo Calls

Education with Context.mp3

Patient Rapport