Adherence Intelligence Platform

Most Systems Track Appointments.

Adherence OS Tracks Momentum.

Understand why patients disengage. Intervene before they disappear.

or Request Adherence Audit →
No PHI required 12-Week Pilot Measured against control
Category
Momentum is the signal between appointments.

An appointment is a snapshot. Momentum is the trend — whether a patient is moving toward continuation or quietly drifting toward the exit.

It shows up in the spaces a schedule can't see: a refill that slips, a follow-up that keeps moving, a lab that never gets booked, replies that go quiet.

Adherence OS reads those signals continuously and surfaces the patients losing momentum while there's still time to act.

adherence_os // momentum.detect()
// scanning patient journey signals
01_refill
missed · day_32
02_followup
delayed · day_18
03_lab
skipped · wk_6
04_response
stopped · day_41
How Adherence OS Works

Detect Infer Intervene Recover

A four-stage system running continuously across your patient journey.

01. detect
Detect

Identify where patient progression breaks down across the full journey — before it becomes a permanent exit.

02. infer
Infer

Estimate the likely barrier behind each disengagement signal — cost friction, side effects, expectation gaps, protocol fatigue.

03. intervene
Intervene

Deploy targeted behavioral interventions at the right moment — email, SMS, and operational touchpoints as layers inside a larger system.

04. recover
Recover

Measure patient continuation improvements and recovered revenue with controlled attribution — not vanity metrics.

Why Clinics Work With Adherence OS

Most clinics have data.
Most have tools.
What they don't have is a system.

What almost none have is a way to understand why patients are losing momentum, where in the journey it's happening, and what intervention should happen next.

Adherence OS provides that missing layer — not as a campaign, not as an agency, but as a dedicated adherence intelligence function your clinic doesn't have to build or staff internally.

They have patient data

EHR records, appointment history, lab results. But no system for reading behavioral signals within that data.

They have communication tools

Email platforms, SMS tools, reminder systems. But no intelligence layer telling them when, why, and how to use them.

They don't have a system

No way to connect behavioral signals to intervention logic to revenue measurement — in a single, structured, repeatable framework.

This is not a marketing problem. This is a revenue recovery problem.
The Problem

You're spending heavily to acquire.
Here's what happens after.

Recurring cash-pay clinics lose 10–20% of revenue not at acquisition — but in the unstructured space between appointments, where patients quietly disengage.

Patients miss follow-ups

No system running between prescription and next appointment. By the time it's visible, they've already decided to stop.

Stop treatment early

Side effects, cost anxiety, plateau frustration — without a proactive intervention at that exact moment, patients quietly stop.

Don't refill

A missed refill is one of the earliest signals a patient is leaving — and once patients lapse, fewer than half restart within a year. That gap is exactly where the revenue is, and most clinics have nothing running in it.

Quietly drop off

Revenue leakage is invisible in your EHR. You see a missed appointment — not the compounding loss behind it over a patient's lifetime.

What You Get

The Adherence Intelligence Platform

A system — not a service. Not a tool you manage or staff internally.

01 // dashboard
Adherence Intelligence Dashboard

Visibility into where patient momentum breaks down across your full patient journey — and why it's happening at each stage.

02 // inference
Barrier Inference Engine

Identifies the likely behavioral reason behind each patient disengagement — not just that it happened, but why.

03 // intervention
Behavioral Intervention System

Targeted actions deployed at the right moment in the patient journey. Messaging channels are one intervention layer inside a larger system.

04 // measurement
Revenue Recovery Measurement

Controlled testing framework that ties patient continuation improvements directly to recovered revenue — not engagement scores.

Who It's For

Where Adherence OS fits.

Any recurring cash-pay model where patient continuation drives long-term revenue.

Membership Models
Subscription-based care
Continuity Protocols
Ongoing treatment plans
Refill-Driven Care
Recurring prescriptions
Optimization Programs
Long-horizon protocols
Concierge & DTC
Direct patient relationships
Cash-Pay Programs
Out-of-pocket recurring revenue
How To Get Started

The 12-Week Adherence
Intelligence Pilot

A structured engagement implementing Adherence Intelligence across your patient journey — with clear measurement from day one.

Weeks 1–2
Diagnose
Map your patient journey
Identify drop-off signals
Analyze behavioral patterns
Weeks 3–10
Deploy
Launch intervention system
Post-visit, refill, recovery protocols
A/B or holdout testing
Weeks 11–12
Measure
Lift vs. control
Recovered revenue report
Continuation analysis
// who_we_work_with
Built for
Recurring Healthcare
Adherence OS is typically a fit for clinics with membership programs, ongoing treatment plans, or any model where patient continuation drives recurring revenue.
// FIT.CHECK()
Membership programs
Ongoing treatment plans
Recurring prescriptions
Cash-pay care
Patient continuation drives revenue
status: Likely Fit

Start without sharing a single patient record.

Our audit and pilot onboarding require zero PHI or PII. No compliance blocker between you and results.

no_phi required
no_pii collected
audit_safe

Ready to build behavioral
infrastructure for your clinic?

Calculate your recoverable revenue or request an adherence audit. We work with a limited number of clinics per month.

Request Adherence Audit →
no_phi · no_pii · response within one business day
← back to overview
Opportunity Assessment

See what patient drop-off
is actually costing you.

Adjust the inputs below to match your clinic's numbers. See the revenue at risk — and the potential recovery with Adherence OS.

// clinic_profile.assess() · higher_ticket
Patients400
$/month$299
% / month8%
% of lapsed34%
Monthly Revenue Recovered
$0
// with adherence_os
Patients dropping / month
Revenue at risk (no AOS)
Patients recovered / month
Annual revenue recovered
// clinic_profile.assess() · mid_ticket
Patients300
$/month$249
% / month7%
% of lapsed29%
Monthly Revenue Recovered
$0
// with adherence_os
Patients dropping / month
Revenue at risk (no AOS)
Patients recovered / month
Annual revenue recovered

Ready to recover this revenue?

Get early access to the pilot or book a call to discuss your clinic's specific situation.

Book a Call →

no_phi · no_pii