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. Then it does the part most analytics tools stop short of: it reaches the patients and closes the gaps.
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 on your entire population, aggregated and deduplicated at the patient level. The 248-patient sample you could chart-pull by hand is gone.
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 the visit.
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 and one score, without a rip-and-replace
No participant practice changes its EHR. We take what each one has, through interfaces, file feeds, claims, and robotic process automation where a vendor won't export, and build one identity-matched record. Your measures are computed across the whole ACO on that record.
- 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. The ACO sees the composite, with laggards and leaders visible.
- Centralized outreach, local voice. AWV scheduling and care-gap outreach run as one program, worked by AI agents, your staff in the calling workspace, or both. Outreach is configured so contacts go out under the patient's own practice name.
- Gap-to-call accountability. Every closed gap traces to the outreach that closed it, by practice, campaign, and measure. That is the evidence your savings distribution conversations 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 layer on top of the EHR, which is 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), covering all 476 ACOs with results, 123 including at least one 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, the center returned 2,025 staff hours to patient care, improved diabetes control by 14.1 points, and moved three measures past the 75th national percentile.
An ACO is that same problem with more TINs. The platform was built for multi-source, multi-site identity matching from day one, so 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 becomes an export instead of a reconstruction.
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 rather than routing them to a roadmap committee.
See it on your own data
Watch our AI call a patient.
Then imagine it calling
thousands of yours.
The demo takes 30 minutes. You'll see live AI outreach and your quality measures on a unified record, and we'll talk plainly about what we'd build for your workflows.