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WorkWell Measure Studio

CI Deploy License: Apache-2.0 TypeScript Next.js 16 FHIR R4 Tests

A clinical quality measure engine that runs CMS's own published eCQM artifacts — not a reimplementation of them.

WorkWell Measure Studio is an occupational-health compliance platform for Total Worker Health: it authors quality measures, evaluates them against FHIR patient data with a CQL engine, opens and tracks the resulting cases, and exports the evidence auditors ask for. It is built to plug into a real EHR — and does, against a live WebChart tenant.

Where it sits. WorkWell is supplementary to WebChart — the EHR carries ONC certification, and WorkWell deliberately does not pursue it. In the JS quality-measure ecosystem it composes fqm-execution and cql-execution rather than competing with them: official eCQMs run through fqm-execution in production, the authored engine runs on cql-execution, and the packaging (@work-well/measure-engine, docs/PACKAGES.md) exists so a consumer can take the engine without the occupational-health catalog.

The interesting engineering problem. A quality measure like "CMS125: Breast Cancer Screening" has an official, published definition. Most systems reimplement it and hope the reimplementation agrees. This one runs the published artifact verbatim — the same ELM CMS ships to MADiE — and keeps a second, independently-authored implementation alongside it as a correctness oracle. Where the two disagree, the disagreement is measured, written down, and turned into a test before anything ships.


Contents


What it does

Author Measure lifecycle Draft → Approved → Active → Deprecated, with CQL compilation and fixture validation gating activation. Monaco-based authoring, an ELM explorer, and a no-code rule builder that compiles to CQL (CQL stays canonical — ADR-015).
Evaluate JVM-free CQL→ELM at build time; cql-execution + cql-exec-fhir at runtime. Scoped runs (ALL_PROGRAMS, MEASURE, SITE, EMPLOYEE, CASE), incremental re-evaluation, and measure-major batching.
Act Idempotent case management — outreach, assign/escalate, rerun-to-verify, full timeline. Multi-channel campaigns. Standing-order proposals and immunization forecasting behind ports.
Prove Per-define evidence for every outcome, an append-only audit ledger, auditor packets, CSV exports, FHIR MeasureReport, and QRDA-III.
Integrate FHIR R4 ingest from a live WebChart tenant over SMART Backend Services, a SQL-backed FHIR shim, a read-only MCP server (13 role-gated tools), and a MAT-compatible measure export.

Guardrail, enforced structurally: AI never decides compliance. It drafts CQL and test fixtures; the CQL engine is the sole authority on outcome status. See docs/AI_GUARDRAILS.md.


A tour of the product

Programs overview — per-measure compliance, trends, and reasons Programs — every measure's compliance at a glance: status buckets, trend since last run, top sites and roles, and the reasons cases are open. Compliance roster — every employee × measure Compliance — the roster grid: every employee × every measure, each cell clickable through to the evidence that produced it.
Measure catalog with lifecycle states Measures — the catalog with lifecycle states (Draft → Approved → Active); each measure opens into the Studio for CQL authoring with live compilation. Run history and outcome distributions Runs — every evaluation run with its scope, trigger, duration, and outcome distribution; large scopes run in the background.
Case worklist — filter, bulk-act, export Cases — the daily worklist of flagged employees; filter, assign, bulk-act, export, with structured evidence and waiver context on every card. Bulk outreach campaigns Campaigns — bulk outreach over a filtered case set, preview-then-confirm, with delivery status recorded per recipient.
Integration and scheduler admin Admin — integration settings, the nightly scheduler, and the email provider; every setting is an audited write. (The runtime brand switcher lives in the dashboard header as a per-browser preference, not here.) Cross-system identity review People — cross-system identity: potential duplicates are surfaced for human review, never auto-merged.
Enterprise → location → provider → patient drill-down Hierarchy — the enterprise → location → provider → patient drill-down a multi-site quality manager works from.

Architecture

flowchart TB
    subgraph clients["Clients"]
        UI["Next.js 16 App Router<br/>React 19 · Tailwind 4"]
        MCP["MCP client<br/>(Claude Desktop)"]
    end

    subgraph worker["backend-ts — single worker, modular packages"]
        API["HTTP API<br/>auth · RBAC · CORS"]
        RUN["Run pipeline<br/>scope → evaluate → persist"]
        CASE["Case engine<br/>idempotent upsert"]
        EXPORT["Exports<br/>MeasureReport · QRDA · CSV"]
        MCPS["MCP server<br/>read-only, role-gated"]
    end

    subgraph engine["Measure engine — no app dependencies"]
        ROUTER{{"Executor router<br/>per-measure"}}
        AUTH["Authored engine<br/>cql-execution + cql-exec-fhir"]
        OFF["Official executor<br/>CMS published ELM<br/>(quarantined package)"]
    end

    subgraph data["Data sources"]
        WC[("WebChart EHR<br/>FHIR R4 / SMART")]
        SHIM["WCDB FHIR shim<br/>MariaDB → FHIR"]
        SYN["Synthetic roster"]
    end

    subgraph store["Persistence"]
        PG[("PostgreSQL 16<br/>Neon")]
        SQLITE[("SQLite<br/>test floor")]
        S3[("S3<br/>evidence")]
    end

    UI --> API
    MCP --> MCPS
    API --> RUN --> ROUTER
    ROUTER -->|default| AUTH
    ROUTER -.->|"WORKWELL_OFFICIAL_MEASURES"| OFF
    WC & SHIM & SYN --> RUN
    RUN --> CASE --> PG
    RUN --> EXPORT --> S3
    RUN --> PG
    PG -.->|"same contract"| SQLITE

    classDef dark fill:#1f2937,stroke:#4b5563,color:#f9fafb
    classDef accent fill:#065f46,stroke:#10b981,color:#ecfdf5
    class ROUTER,OFF accent
    class API,RUN,CASE,EXPORT,MCPS,AUTH dark
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Three boundaries are enforced by tests, not convention:

  1. The eval core is a package with two dependenciespackages/measure-engine/ (@work-well/measure-engine) depends on exactly cql-execution and cql-exec-fhir, uses no node: built-ins, and ships no WorkWell measure content: the catalog, the compiled ELM and the value-set expansions are constructor input, so a consumer gets the engine without our occupational-health catalog (ADR-059). Three tests hold the line — the package's own import closure, an app-side check that nothing deep-imports past its single entry point, and a containment test on what remains in src/engine/ (content, ingress, the synthetic corpus, the CLI edge), which now refuses the CQL runtime and @cqframework/cql alike.
  2. fqm-execution lives in exactly one packagepackages/official-executor/, reached only through a lazy await import, policed by five boundary tests. The heavyweight official-execution dependency can never leak into the request path.
  3. Storage is a port with two adapters — a Postgres ceiling and a SQLite floor that satisfy the same contract test, so the whole suite runs with no database.

How a measure is evaluated

sequenceDiagram
    autonumber
    participant OP as Operator
    participant API as Run API
    participant SRC as Data source
    participant ENG as Executor router
    participant DB as Store

    OP->>API: POST /api/runs/manual (scope)
    API->>DB: create run + audit event
    API-->>OP: 202 RUNNING

    API->>SRC: fetch FHIR bundles for scope
    SRC-->>API: Patient + Observation + Procedure …

    Note over ENG: per measure, the router picks an engine
    API->>ENG: evaluate(measure, bundles)
    alt measure is officially routed
        ENG->>ENG: prepare bundles for QI-Core
        ENG->>ENG: run CMS's published ELM (batched)
    else default
        ENG->>ENG: run authored CQL
    end
    ENG-->>API: outcome + per-define evidence

    API->>DB: persist outcome + evidence_json
    API->>DB: idempotent case upsert
    API->>DB: audit event per state change
    API->>DB: finalize run (COMPLETED / PARTIAL_FAILURE)
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Every state change writes an audit_event — no exceptions. Case upsert is keyed (employee, measure_version, evaluation_period), so a nightly re-run updates rather than duplicates, and never clobbers an operator's in-progress work.


What runs where

Per priority measure, three different claims — gated (its official MADiE test cases are a permanent CI gate), routable (the router's construction-time checks pass), and routed (a deployed environment actually runs the official artifact). Each is strictly stronger than the last, and the differences are the point:

Measure MADiE gate Routable Routed in production
CMS122 (Diabetes: HbA1c > 9%) 55/55 ✓ demo/production (2026-07-30)
CMS125 (Breast Cancer Screening) 66/66 ✓ demo/production (2026-07-30)
CMS2 (Depression Screening) 36/36
CMS68 (Documentation of Medications) 19/19 ✗ episode-of-care
CMS130 (Colorectal Cancer Screening) 64/64
CMS138 (Tobacco Screening & Cessation) 47/47 *
CMS165 (Controlling High Blood Pressure) 68/68
CMS951 (Kidney Health Evaluation) 55/55

CMS68 is refused at construction time, not by convention: it declares populationBasis: Encounter, and the executor maps one population vector per subject, which cannot represent episodes (ADR-047). * CMS138's green is a weaker claim than the other seven — upstream ships its bundle one value set short, so four codes are sourced from VSAC by us rather than shipped by CMS (ADR-053). Unrouted measures still evaluate their authored implementations everywhere.

Alerting today is WorkWell-screens-only. The CDS Hooks service is live and standards-conformant, but no client — WebChart included — invokes it yet; cards render the most recent finalized run when asked (docs/CDS_HOOKS.md, guide ch. 10).


Standards and conformance

This project is deliberately careful about what it claims. docs/STANDARDS_CONFORMANCE.md states, per surface, what is executed and verified versus what is structurally aligned.

Surface Standard Level
Measure logic HL7 CQL / ELM Executed — JVM-free, build-time translation
Patient data FHIR R4, US Core / QI-Core Executed — official artifacts evaluate real QI-Core bundles
Known-answer gate Official MADiE test cases (9 measures) 455/455 exact, every rate of the multi-rate CMS137 compared — a permanent CI gate
Terminology VSAC value sets The artifact's own expansions, fetched at build and pinned by SHA-256
Reporting FHIR MeasureReport, QRDA-I, QRDA-III MeasureReport validator-verified at 0 base-R4 errors; both QRDA-I and QRDA-III at 0 findings against the HL7 base IG
Second opinion cqf-fhir-cr (HAPI, Java) over the same artifacts 362/387 agree across eight measures, three of them 100% and the multi-rate CMS137 at 44/45 on both rates — the first execution of our artifacts by an engine that is not ours. one function is implicated in 22 of the 25 disagreements across four measures — the two engines read a medication order's period differently (CumulativeMedicationDuration.medicationRequestPeriod). 8 of those are proven by single-variable mutation and 14 are consistent-with by inventory; 2 remain unexplained, and CMS137's one is a separate, diagnosed period boundary. CMS165 was swept too and is deliberately excluded from the total until its result is understood
EHR integration SMART Backend Services (private_key_jwt) Executed against a live tenant

No measure may be routed to its official artifact without a green MADiE gate. That is a construction-time refusal, not a review convention.


Engineering practices

The parts of this repo worth reading if you care about how it is built:

  • 68 Architecture Decision Records (docs/DECISIONS.md) — every non-obvious decision, with the alternatives and the consequences. Several record a decision being reversed by measurement or review, with the original reasoning kept rather than deleted.
  • Measure-first, then decide. Repeatedly, a planned refusal or guard was killed because measuring showed it would fire on correct inputs. Those reversals are documented as such — the reasoning that was wrong is the useful part.
  • Guards are mutation-tested. A check that cannot fail is worse than no check, because it reads as covered. New safety conditions are verified by breaking them and confirming exactly the intended test fails.
  • Vacuous-guard hunting. Tests that self-skip when a fixture is missing are treated as a defect class in their own right — a suite that reads green because it never ran is worse than a red one. The sidecar-dependent gates are named explicitly in a CI step so they cannot silently drop out, and the flip checklist tells the operator to read the skipped count, not just fail.
  • Ports and adapters throughout — measure executor, data source, value-set resolver, outreach channel, immunization forecaster, evidence bucket, store layer. Each defaults to an inert simulated implementation and is inert unless configured.
  • Reversibility as a design constraint. Every seam is switchable by env var, and every switch is byte-identical to the previous behaviour when unset.
  • 2021 backend tests on the SQLite floor with no external services (2006 pass, 15 self-skip without a local Postgres or the gitignored terminology sidecar — measured 2026-08-26); a Postgres contract suite that runs against a local postgres:16 when present; and Playwright E2E.

Quick start

Prerequisites — Node.js 22.16+ (24 recommended; pnpm install enforces it), pnpm via Corepack, and Git submodules — @mieweb/cloud is vendored as one.

git clone https://github.com/Taleef7/workwell.git && cd workwell
git submodule update --init --recursive     # @mieweb/cloud — the backend will not install without it

# Backend — API, engine, exports  (http://localhost:8080)
cd backend-ts
pnpm install
pnpm typecheck && pnpm test
pnpm dev

# Frontend — dashboard, Studio, admin  (http://localhost:3000)
cd ../frontend
pnpm install
pnpm dev

No database or cloud account is needed: the SQLite floor and the synthetic roster make the whole app runnable offline.

Evaluate a patient from the command line

cd backend-ts
pnpm evaluate --patient ./bundle.json --measure audiogram

Compare the authored engine against CMS's published artifact

# both engines, same bundles, per-subject diff + before/after distribution
pnpm flip-snapshot --measure cms125 --source synthetic

Repository layout

backend-ts/          API worker, CQL engine, run pipeline, cases, exports, MCP, stores
  src/engine/          measure content, data ingress, synthetic corpus, CLI edge (boundary-tested)
  src/wiring/          executor router, official artifacts, terminology
  packages/            measure-engine — the content-free eval core (2 deps)
                       official-executor — the sole home of fqm-execution
  measures/            authored CQL + vendored official artifacts
frontend/            Next.js 16 dashboard, Studio, admin
wcdb-fhir-shim/      standalone MariaDB → FHIR R4 shim (owns the DB driver)
docs/                architecture, data model, ADRs, deploy, conformance, journal
e2e/                 Playwright end-to-end tests

Key routes

/compliance roster grid · /programs overview · /programs/[id] trend + risk outlook · /programs/hierarchy enterprise→location→provider→patient drill-down · /runs history · /cases worklist · /campaigns bulk outreach · /measures catalog · /studio/[id] authoring · /people cross-system identity · /admin integration + scheduler

The integration surface

What another system builds against — each contract versioned, documented, and refusing dishonest answers rather than guessing:

Contract What it is
GET /api/v1/compliance/{subject}/{measure} One subject, one measure, one stable answer — status, population membership, and populationsSource saying where the booleans came from. 404 when no run has covered the subject, never an empty 200 (ADR-061).
CDS Hooks 2.0.1GET /cds-services, invoke, feedback Care-gap cards into a clinician's workflow: summary, plain-English reason, provenance, and a draft-order suggestion the clinician accepts — never systemActions, never critical (ADR-067).
GET /api/v1/openapi.json · public /api-docs Hand-authored OpenAPI 3.1.1 over the promised surface only, guarded by a two-way routed-path test (ADR-068).
MCP server 13 read-only, role-gated tools (/sse stream + /mcp/** message endpoint) — an AI client reads compliance state; nothing mutates.
@work-well/measure-engine · @work-well/measure-codegen The content-free eval core and codegen on the public registry, with SLSA provenance (docs/PACKAGES.md).

Internal API highlights

POST /api/runs/manual                                  # scoped evaluation run
GET  /api/runs/{id}/measure-report?type=summary        # FHIR MeasureReport
GET  /api/runs/{id}/qrda?format=xml                    # QRDA-III
GET  /api/runs/{id}/qrda1                              # QRDA-I export (per-subject patient data)
POST /api/runs/{id}/evaluate                           # evaluate one subject; body {measureId, qrda1} = QRDA-I import
POST /$cql                                             # CQL IG Evaluation Service — data-free expression evaluation
GET  /api/measures/{id}/fidelity                       # authored vs official spec diff
GET  /api/measures/{id}/fidelity/diff                  # executed outcome diff
GET  /api/auditor/cases/{id}/packet?format=json|html   # auditor evidence packet
GET  /api/cases?status=open                            # case worklist
GET  /api/exports/outcomes?format=csv                  # evidence export
GET  /api/identity/duplicates                          # cross-system identity

Full surface in docs/ARCHITECTURE.md.


Current focus

Running CMS's official published artifacts in place of the authored implementations, one measure at a time, behind WORKWELL_OFFICIAL_MEASURES. CMS122 and CMS125 are routed and live in production (2026-07-30) — both evaluate CMS's published QI-Core artifacts verbatim. CMS122 shipped a PR later than CMS125: its official numerator counts poor glycemic control, so the MeasureReport canonical, improvementNotation and population membership all had to switch together first (ADR-046), and a self-contradictory report is worse than a delayed one. Six more measures — CMS2, CMS68, CMS130, CMS138, CMS165, and CMS951 — are vendored and MADiE-gated but not routed. CMS2 and CMS951 are routable but not yet routed; CMS130, CMS138, and CMS165 have no OFFICIAL_MEASURE_SEMANTICS entry yet, so routing construction refuses them until one is reviewed in; CMS68 is additionally not routable — it is an episode-of-care measure (population basis = Encounter), and the official executor's one-population-vector-per-subject mapping does not support episodes (ADR-047).

The approved active plan is docs/ROADMAP_2026-08-30.md (the Maui pilot — ADR-070); the verification bar remains the FHIR-column set in docs/ROADMAP_2026-08-04.md §4; the ADR run 036–070 is in docs/DECISIONS.md and the running narrative in docs/JOURNAL.md (newest first).

Cypress CVU+ has now run (2026-08-02). 22 submissions of 12 generated documents to a local Cypress v7.5.1: both QRDA Category I and Category III validate with 0 findings against the HL7 base IG — CDA schema and Schematron alike — for CMS122 and CMS125 across the five-target synthetic corpus. It took 240 findings to get there, and two are worth stating plainly because they are the kind a matrix hides. Our own Schematron checker had no XSD layer, so its "0 base-HL7 errors" was true and narrower than it read, with 76 findings in the gap. And Category III had every required population element attached to the wrong template…27.3.3 is Aggregate Count and sat on the outer observation — so the validator reported those elements missing while the ones that satisfied the rules were validated as nothing at all.

This is not the bar, and as of 2026-08-04 the bar itself changed. That run measured the export leg over synthetic data. The Cypress Calculation Check path did later run, offline, and our numbers matched Cypress's own expected results exactly (64/64 and 150/150 subjects). The submission still came back red — and reading Cypress's source gave the reason: extract_results_by_ids short-circuits on measure identity. Cypress holds CMS125v14 (QDM); we run CMS125FHIR v1.0.000 (QI-Core), and the QI-Core artifact has no per-population UUIDs for QRDA III's identity model to carry. QRDA Category III is an HQMF/QDM-identity format, and no FHIR-lineage grader exists — MITRE's cvu-fhir was abandoned in April 2023. So a Cypress Calculation Check green is retired as a goal (ADR-058); relabelling to obtain one stays forbidden. QRDA I/III are kept as an interoperability bridge, still at 0 findings. Evidence: CVU_VALIDATION_RUN_2026-08-02.md, CVU_C2_SUBMISSION_2026-08-03.md.

What replaced it. A named set of FHIR-column checks, each with its scope and limits written next to it. Two ran on 2026-08-04: our MeasureReports validate at 0 base-R4 errors with the DEQM STU5 gap measured at exactly 3 per report (DEQM_VALIDATION_2026-08-04.md), and the official artifacts were cross-executed through HAPI's cqf-fhir-cr — a genuinely independent engine, unlike fqm-testify and deqm-test-server, which both wrap the library we already run. 255/278 cases agree across six measures, and the largest group of exceptions is isolated by construction to one CQL conjunct (CROSS_ENGINE_2026-08-04.md). Those findings are written up for the HL7 CMS7-FQR track in CONNECTATHON_DISCREPANCIES_2026-08-04.md.

Documentation map

The guide start here — the whole system explained, chapter by chapter, with a diagram per flow
What WorkWell is one-page stakeholder explainer for non-engineers
Normalization how clinical records move from the clinic EHR to a quality result
Architecture system boundaries, module map
Decisions 69 ADRs, newest first
Data Model tables, idempotency + evidence contracts
Measures the TWH measure catalog in plain English
Standards Conformance what we may and may not claim
WebChart Mapping EHR → FHIR crosswalk
AI Guardrails prompts, fallbacks, the hard rule
Deploy environments, secrets, rollback
Production Readiness PHI/HIPAA posture, gap list
Journal the running engineering narrative

Contributing

Contributing Guide · Security Policy · Code of Conduct · Support

License

Apache License 2.0.


Built as an engineering collaboration with MIE around WebChart and Enterprise Health. Not an ONC-certified product; see Standards Conformance for exactly what is and is not claimed.

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Total Worker Health compliance platform with CQL authoring, risk outlook analytics, MAT/FHIR export, and auditable case workflows.

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