For ACOs
Your quality score lives in a dozen EHRs. Your shared savings depend on it.
Quaility computes quality across every participant practice — whatever each one runs — and then does the part no analytics vendor touches: reaches the patients and closes the gaps. One record, one score, one outreach engine for the whole ACO.
The ACO quality problem
All-payer quality reporting was designed for
organizations
that share an EHR. Yours don't.
The Web Interface is gone
MSSP quality now means eCQM/CQM reporting across your entire population — aggregated, deduplicated, patient-level — not a 248-patient sample you could chart-pull by hand.
Quality gates the money
Earned savings only pay out if the quality standard is met. A reporting failure — not a care failure — can zero out a year of work.
Every practice, a different stack
Epic here, eClinicalWorks there, Athenahealth and paper hybrids in between. Patient-level data lands in incompatible shapes — when it lands at all.
AWVs drive everything
Annual wellness visits anchor attribution, prevention, and risk documentation — and they only happen if someone calls the beneficiary and books them.
Outreach nobody owns
The ACO carries the risk, but each practice's front desk owns the phone. Centralized outreach programs stall because there's no shared list and no shared logging.
Practices you can't see
Which TIN is dragging the composite? Which site's denominators look wrong? Without per-practice visibility, intervention is guesswork.
What Quaility does for an ACO
One population, one score — no rip-and-replace
No participant practice changes its EHR. We ingest what each one has — interfaces, file feeds, claims, and robotic process automation where a vendor won't export — into one identity-matched record, and compute your measures across the whole ACO.
- Cross-EHR measure computation. Patient-level quality measures computed on the unified record — deduplicated across practices, so a patient seen at two sites counts once, correctly.
- Per-practice scorecards. Every TIN and site sees its own rates, gaps, and trend — and the ACO sees the composite with the laggards and leaders visible.
- Centralized outreach, local voice. AWV scheduling and care-gap outreach run as one program — AI agents, your staff in the calling workspace, or both — speaking in the name of each patient's own practice.
- Gap-to-call accountability. Every closed gap traces to the outreach that closed it, by practice, by campaign, by measure — the analytics layer your savings distribution arguments have been missing.
Illustrative per-practice view — names and rates are mock data.
We study this problem in public
Fragmentation is the norm. The data layer is the difference.
Our research team analyzed HRSA's 2024 federal quality data for all 1,510 federally funded health centers against the EHR each one reports. The finding ACOs should care about: performance varies more within every EHR than between them — what separates top performers is the intelligence layer on top, exactly the layer an ACO has to build across its participants.
Sources: HRSA UDS 2024 (EHR Quality Gap report) and CMS MSSP PY2024 (safety-net ACO parity insight) — all 476 ACOs with results, 123 including ≥1 FQHC.
Where we are
Proven in the hardest data environment first
Our first deployment is a Los Angeles community health center — multiple source systems, a multilingual population, and payer quality programs with real dollars attached. In its first year: 2,025 staff hours returned to patient care, +14.1 points of diabetes-control improvement, and three measures moved past the 75th national percentile.
An ACO is that same problem with more TINs. The platform was architected for multi-source, multi-site identity matching from day one — adding participant practices is configuration, not a rebuild. We'll tell you honestly: you'd be among our first ACO deployments, and the engineering attention that comes with that is the upside.
Measured outcomes at our first deployment — a Los Angeles community health center. Read the case study.
Questions
What ACO leaders ask us
No EHR changes. We connect to what each practice runs — interfaces and file feeds where available, robotic process automation where a system won't export. Practices keep their workflows; the ACO gets one unified record and one set of numbers.
Yes — that's the design. Campaigns run from one queue, but every call and text goes out in the name of the patient's own practice, in the patient's language. Your staff can work the same queues in the manual calling workspace before, or alongside, AI agents.
The hard part of all-payer quality reporting is the data: one deduplicated, patient-level record across every participant. That's the platform's core. Measures are computed continuously on that record, so reporting season is an export, not an archaeology project.
Our first production deployment is a community health center; ACOs are where we're heading next, and we say so plainly. What you get as an early ACO partner: the architecture already built for multi-source populations, and a build team that ships your needs in days — not a roadmap committee.
See it on your own data
Watch our AI call a patient.
Then imagine it calling
thousands of yours.
A 30-minute demo: live AI outreach, your quality measures on a unified record, and an honest conversation about what we'd build for your workflows.