Quality, rebuilt for the AI age.
Quaility unifies your EHR, claims, and payer data into one patient record — and proves it. Watch your codes land measure by measure, switch quality programs on yourself in a few clicks, and reach numbers you trust in weeks, not a year-long integration. Then close care gaps with outreach you can actually measure.
Not ready for AI? We don’t force it. Start staff-led — your team works the same care-gap queue while Quaility handles the data — then hand cohorts to AI agents when you’re ready. See the calling workspace →
In production at a Los Angeles community health center — 2,025 staff hours a year returned to patient care.
Measured outcomes at our first deployment — a Los Angeles community health center. Read the case study.
Why Quaility is different
Most population health software was built before AI.
It
shows.
Legacy platforms bolt a chatbot onto a reporting warehouse and call it innovation. Quaility was architected in the AI age — so the work that used to take a year (trusting your data, configuring your programs, fitting your clinic) takes weeks, and the work that used to be invisible (did the outreach actually move the measure?) is something you can finally see.
See that your data is true
Code-match validation proves your codes land against every measure — before you trust a single number.
See it land →Onboard in weeks, not quarters
Flip quality programs on yourself and watch patients match live — no multi-month integration project.
How onboarding works →One record, every source matched
Integration plus patient-record matching reconcile EHR, claims, and payer data into one identity.
Inside the record →Outreach you can prove
AI and staff close gaps — and we tie each one to the visit kept and the measure it actually moved.
See the loop →The bolt-on era
- A multi-month integration before you see a single number
- Data mapped once, then quietly undercounts forever
- Adding a program is a services quote and a wait
- Custom work goes to a ticket queue, then a roadmap
- “Calls made” is the only outreach metric
The Quaility way
- Trusted dashboards in weeks, mapping proven measure by measure
- Code-match monitoring flags gaps before they distort a rate
- Toggle programs and codes yourself — matches update live
- Bespoke workflows shipped in days, by the people who build it
- Outreach traced to kept visits and the measures they moved
The foundation
Every source in. One patient. One record.
Quality teams don’t give up on a platform over its features — they give up when the data never comes together and the same patient is counted three ways. Our integration layer pulls in every source, and probabilistic patient matching resolves them into one identity-matched record. This is the part that’s hard, and it’s the part most platforms get wrong.
Integration that doesn’t stall
EHR interfaces, file feeds, and robotic process automation for the payer portals with no export button — so connecting a source isn’t a multi-quarter interface project.
Patient record matching
Probabilistic identity matching reconciles the same person across EHR, claims, and registries — even when names and IDs disagree — with a human review queue for the judgment calls. No double-counting.
Data-quality monitoring
Anomaly detection on every pipeline run. If patient counts spike or a feed goes stale, your team hears about it before the dashboards mislead anyone.
See your data land · code-match frequency
Most platforms hand you numbers.
Quaility shows you they’re
true.
A measure rarely fails loudly. A code doesn’t map, the event never registers, and the rate just quietly comes in low — you find out at reporting time. Our code-match frequency view watches every program and tells you exactly which codes are firing against its compliance, eligibility, and exclusion logic, and which ones you expected to see and aren’t. If a code should be hitting and isn’t, we remap it — fast — before it ever costs you a number.
- Hit counts per code, per program. Every CPT, LOINC, ICD, and HCPCS code is checked against the numerator, denominator, and exclusion logic — with how often it’s actually firing on your data.
- Expected-but-missing, flagged. Tell us a code should be hitting; if it shows zero, it surfaces as “needs remap,” with the measure and the patients at stake named — not as a mysteriously low rate.
- Remapped in place, then re-verified. The same view confirms the events now land. Coverage is something you watch climb, not something you hope for.
- So the numbers earn trust. You act on a record you believe, instead of keeping a side spreadsheet forever.
Illustrative coverage view — the unmapped G-codes would otherwise undercount depression follow-up by a third.
Onboarding · weeks, not quarters
Switch on a quality program yourself. Watch the patients match in real time.
The legacy way to add a measure is a change request, a services quote, and a wait. Quaility gives your team a console: turn a program on, tune the codes that define it for your clinic, and see exactly how many patients match — instantly.
- A self-serve program library. UDS, MIPS, CMS eCQMs, state Medicaid, and your own internal measures — turn them on without a ticket.
- Codes you can tune. Add or remove the codes that define a measure for your clinic; the match count updates as you do.
- Live match preview. Every toggle shows how many of your patients it captures, so you configure against reality — not a spec sheet.
- That’s why it’s weeks, not quarters. Setup is a UI and the mapping is proven as you go, so you reach go-live without the multi-month integration drag.
Illustrative configuration console.
Care-gap outreach · AI and staff, one loop
Reach every gap — by AI, by your team, or both
Every patient with an open care gap gets worked: AI voice and SMS agents that hold real two-way conversations in the patient’s language, or your own staff in a purpose-built calling workspace with the patient’s gaps, history, and script on one screen. Most clinics start staff-led and hand cohorts to the AI as they build trust — same queue, same closed loop.
- Two ways to work one queue. Staff-led calling workspace or AI agents — shift the balance per cohort, per measure, whenever you want.
- Multilingual, compliant by default. Live language switching, opt-out honored instantly, capped attempts, quiet hours, voicemail detection.
- Human escalation with context. Complex cases route to your team with the full transcript and the patient’s record.
- Adopt at your pace. Not ready for AI? Run it entirely staff-led and turn agents on later — nothing forces it.
Closed-loop attribution
The loop most platforms can’t close
Legacy tools count calls. Quaility ties each outreach to whether the visit was actually kept, and each kept visit to the measure it moved — so you can prove the program worked, not just that it was busy.
Illustrative attribution chain modeled on our first deployment. Every number links back to the outreach that caused it.
Bespoke builds · the AI-age advantage
Your clinic isn’t a config menu. Good.
Every clinic and hospital is convinced its setup is unique — and it usually is. Legacy tools answer that with a services quote and a roadmap. We answer it by building around you: AI-grade engineering plus a team that lives in healthcare data means “custom” ships in days and runs on the same engine as everything else.
Your vocabulary, not ours
Call outcomes, care-gap actions, and tags configured per measure to match how your team actually works.
Your workflows, built in
From transportation-assistance integrations to custom huddle formats — real examples we’ve shipped for our partners.
Your measures, even the odd ones
State program with a quirky denominator? Internal measure no vendor supports? We encode it on the same engine as the standard set.
Days, not roadmap quarters
AI-assisted development with senior healthcare-data review. Scoped requests ship in days — and you talk to the people who build it.
Quaility Research · Report 01
We analyzed all 1,510 health centers’ federal data. Your EHR isn’t destiny.
Every health center reports its EHR vendor and its quality rates to HRSA. We joined the two — a first. The vendor gaps are real (14 points on cervical screening). But the top decile of centers on every EHR beats the median of every other — because the difference isn’t the EHR. It’s the intelligence layer on top.
Cervical cancer screening · median by EHR vendor · HRSA UDS 2024, den ≥ 30
Public federal data, full methodology and file hashes in the report.
Case study · deployment #1
A Los Angeles FQHC on eClinicalWorks.
A year of measured
results.
No new EHR. No army of consultants. One platform, one committed team, and outreach that never gets tired of dialing.
Read the full case study →Questions
Asked by every quality director we meet
Our deepest integration today is eClinicalWorks — the EHR most community health centers run. Because we ingest into a universal data model (via interfaces, file feeds, and robotic process automation when a vendor won’t export), we can onboard other systems as part of implementation rather than as a multi-quarter interface project.
Weeks, not quarters. Sources land in the universal record without waiting on EHR interface projects, program setup is a self-serve console your team can drive, and the mapping is validated as you go rather than discovered at reporting time. You see your own data — and proof that it’s landing correctly — early in the engagement, not at the end of a long integration.
Our code-match frequency view tests whether your real EHR codes register against each program’s numerator, denominator, and exclusion logic — and shows the hit count for every code. If you expect a code to be firing and it shows zero, it’s flagged for remapping, with the measure and the patients at stake named, before it ever undercounts a rate. We remap and the same view confirms the events now land.
Yes. The same care-gap queue can be worked entirely by your team in a purpose-built calling workspace — gaps, history, and script on one screen — with no AI in the loop. Most clinics start staff-led and hand cohorts to the AI agents as they build trust. You choose the balance per cohort and per measure, and change it whenever you want.
We close the loop. Each outreach is tied to whether an appointment was booked, then to whether the visit was actually kept (verified against scheduling and the EHR), then to the care gap closed at that visit and the measure it moved. You get attribution from “we called” all the way to “the rate went up” — not just a tally of calls made.
Outreach runs with opt-out honored instantly, capped attempt counts, business-hours calling windows, voicemail detection, and full transcripts logged to the record. Complex or sensitive cases escalate to your staff with context. We operate under BAAs and treat PHI handling as a first-class engineering requirement.
A per-member-per-month platform rate scoped to your active population, plus outreach packages sized to how you want to adopt — staff-led, AI-led, or both. No seat licenses, and you get one number in one call. See our pricing page for how it works.
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.