Platform overview
One AI-native system for population health.
Quaility pulls your data into one record, computes your quality measures, runs the outreach, and shows you what moved. One loop, on one platform.
How it works
One loop: unify, measure, activate, improve
Most tools stop at reporting. Quaility runs the whole loop, and each cycle feeds the next.
Unify
EHR, claims, eligibility files, and payer-portal data merge into one identity-matched patient record. Where a vendor offers no export, robotic process automation retrieves the data anyway.
Measure
39 clinical quality measures computed nightly, with the numerator, denominator, and exclusions open for your team to inspect.
Activate
AI agents, or your own callers in the manual workspace, work every open gap in the patient’s language, from deadline-ranked worklists and printable huddle sheets.
Improve
Dashboards show what moved and why. Patient-experience signals and executive analytics keep the loop honest, visit after visit.
The platform
Four products on one record
Each piece works on its own. Together they compound, because every product reads and writes the same unified patient record.
AI outreach
Voice and SMS agents that hold real two-way conversations in English and Spanish, book the visit, and write the outcome back to the record.
Patient experience
SMS surveys after every visit. Poor experiences alert staff within minutes, and patients get a one-tap path to share feedback publicly.
Data platform
A universal patient record on an open data model: 20+ clinical entity types, probabilistic identity matching, and anomaly checks on every pipeline run.
Bespoke builds
Custom workflows, measures, and integrations ship in days. AI-assisted engineering changed what custom costs.
Measure
Every rate explained, down to the patient
39 quality measures across screenings, chronic disease, behavioral health, maternal health, and immunizations, computed nightly on the unified record. Your team can audit the logic.
- Transparent logic. You can see the numerator, denominator, and exclusions behind every rate, so you never take the vendor’s math on faith.
- Executive views. CMO and COO dashboards: provider performance, visit funnels, no-show patterns.
- National benchmarks. See where each measure sits against payer quality program targets.
Activate
The gap list works itself
AI agents call and text every patient with an open gap, deadline first. Your staff see the same queue, pick up where the AI hands off, and start each day with a printed huddle sheet.
- Deadline-ranked worklists. Patients are ordered by days to deadline rather than by last name.
- AI does the volume. The agents handle routine reminders, scheduling, and rebooking, with instant opt-out and capped attempts.
- Humans own the judgment. Complex cases escalate to staff with full context and transcript.
- Or start fully human. Your outreach staff work the same queues in a manual calling workspace, with one-screen patient context and keyboard shortcuts. You hand cohorts to the AI when the results convince you.
- Outreach you can audit. Every call and text logs an outcome against a specific measure, so analytics show which gaps closed because of outreach. Staff and AI share one scoreboard.
Who it’s for
Built for the teams quality programs lean on hardest
Community health centers
FQHCs juggling UDS reporting, payer quality programs, and stretched staff. Our first deployment is a Los Angeles FQHC on eClinicalWorks. We built for this world first.
ACOs
Quality computed across every participant practice and EHR, per-practice scorecards, and centralized AWV and gap outreach in each practice's name.
IPAs & medical groups
One quality layer across member practices and every payer program, with outreach run as a shared service the small practices could never staff alone.
Payers & health plans
Provider enablement for gap closure: members answer their own clinic instead of an 800 number, and structured supplemental data flows back to the plan.
Built for PHI from day one
Business Associate Agreements, role-based access control, audit logging of changes and outreach history, and PHI-aware engineering across the platform.
Measured outcomes at our first deployment, a Los Angeles community health center. Read the case study.
Questions
Platform questions, answered straight
One platform. AI outreach, patient experience, the data platform, and bespoke builds all read and write the same unified patient record. Most partners start with the data platform and quality measures, then turn on outreach measure by measure.
No. Quaility sits alongside your EHR (our deepest integration today is eClinicalWorks) and ingests claims, eligibility files, and payer-portal data into a unified record. Your systems keep doing what they do. Quaility closes the loop they leave open.
Interfaces and file feeds where they exist, and robotic process automation where they don’t, including payer portals without exports. Probabilistic identity matching reconciles patients across sources, and anomaly detection on every pipeline run flags stale or suspicious feeds before they mislead anyone.
First dashboards typically come up inside six weeks, because ingestion doesn’t wait on EHR interface projects. AI outreach goes live measure by measure once your team approves each conversation flow. You see your own data early, not at the end of a long implementation.
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.