|
A framework for how FHG and WCHQ
work together on WIN
Two paths. One shared goal — a defensible, high-quality measurement layer for Wisconsin's cardiovascular risk reduction program.
FHG and WCHQ are both named WIN data partners
Both organizations are named in the WIN data architecture. The division of labor is clear: WCHQ holds the HCO relationships and the BAAs. FHG builds the measurement layer from raw data. Today's conversation is about how those two roles connect.
The WIN ecosystem — where FHG and WCHQ sit
A shared Wisconsin health care history
Two data-flow architectures — one for each HCO relationship type
How data reaches FHG depends on the HCO's existing WCHQ relationship. Both deliver the same outcome: raw, unfiltered data into FHG's measurement layer. WCHQ's role in Path B is active, not passive — holding the HCO relationships and BAAs that make the data flow possible.
FHG Direct
System
Data
Data Layer
- FHG and the participating HCO sign a direct BAA — the standard path when no WCHQ intermediary exists
- Raw EHR and Validic RPM data flows directly from the HCO to FHG — unfiltered, untransformed
- FHG curates all data objects and builds the WIN measurement layer from source
WCHQ as Data Conduit
Member HCO
Data
- WCHQ already holds a BAA with the HCO through their existing member relationship — no new agreement needed at the HCO level
- FHG enters as a subcontractor, receiving raw, unfiltered data through WCHQ's existing data relationship
- FHG builds and curates all data objects and measurement from source — WCHQ is the conduit, not the builder
WIN is in motion. Both paths are already active.
The shared deadline is November 1 patient enrollment. Here's where we are right now.
Sixteenth Street Community Health Centers
FHG has signed the BAA with Sixteenth Street. We met with their leadership last week and are meeting again this week. The engagement is deep and committed — and this relationship will extend well beyond WIN's boundaries, supporting the economic buyer model and Community Health mission that makes WIN work.
Froedtert, Ascension, and Advocate Aurora
For Froedtert, Ascension, and Advocate Aurora — all WCHQ members — WCHQ's existing relationships create a natural data conduit. FHG enters as a subcontractor. Today's conversation is the start of that arrangement.
Raw. Unfiltered. Non-transformed.
FHG curates data from source — building every data object, every measure, every calculation — and publishes all of it back to support the WIN Research Sandbox.
Source data only
FHG requires raw, untransformed data from the originating system. No pre-aggregation, no vendor-processed feeds.
FHG curates the objects
All data objects, code sets, measurement definitions, and calculation logic are built and maintained by FHG from the raw source.
The data is never ours
The data belongs to the participating sites. They work in collaboration with AHW to advance the WIN mission. FHG's role is infrastructure — building, running, and publishing to the WIN Research Sandbox.
The WIN Research Sandbox
FHG builds, curates, and publishes all WIN measurement into a Research Sandbox — the shared analytical surface for AHW, its partners, and the participating sites.
What the Research Sandbox is
The WIN Research Sandbox is FHG's canonical output layer — where raw clinical and financial data, after curation, becomes usable measurement for AHW, the participating sites, and approved partners.
For WIN: BP control rates, TAG model outcomes, enrollment cohort performance, and plan-level reimbursement metrics — all in one defensible, auditable, shareable surface.
FHG drives and publishes all data back to support the research. The determination of what WCHQ accesses from the Sandbox is a judgment call that belongs to AHW and the participating sites.
Data ownership
Three questions. Plain answers.
Target population, clinical information needed, level of granularity — answered in plain language, for WCHQ's board and member HCOs to evaluate.
WCHQ has assembled something rare: 15 years of longitudinal patient-level data across 80% of Wisconsin primary care — diagnoses, labs, medications, BP readings — linked by a live Master Patient Index, running through Snowflake, with BAAs already executed with all four WIN delivery sites. The inputs the Pooled Cohort Equations need to compute 10-year ASCVD risk are already in WCHQ's infrastructure. Three questions define what WIN asks from them.
FHG works exclusively with patient-level detail data, including patient identifiers.
Patients at elevated cardiovascular risk — WCHQ's blood pressure control measure is the Phase 1 denominator.
Confirmed: the 4,076 in WCHQ's blood pressure control measure. Emerging: the broader 16th Street panel swept for anti-hypertensives, elevated readings, and pre-hypertensive signals — not yet in WCHQ's measure, but inside the cardiovascular risk window. Both cohorts matter to the program.
2025 as baseline. Monthly thereafter.
The 2025 calendar year establishes the population baseline — patients in WCHQ's blood pressure control measure and the broader cardiovascular risk panel at 16th Street. Monthly raw data refreshes keep the roster current: new diagnoses, new medications, new readings. The program runs on live data, not a frozen snapshot.
Reduce 10-year cardiovascular risk for the patients WCHQ's members already serve.
Hypertension is the entry point — blood pressure control is WCHQ's existing measure; ASCVD risk reduction is WIN's objective. The WIN Research Sandbox publishes outcomes back to AHW, the sites, and the economic buyers. 16th Street is the proof of concept for what this infrastructure does at scale.
FHG builds its own code sets, measure definitions, and denominators from raw data. WCHQ does not need to run calculations, normalize feeds, or produce measures for this project. A raw extract from 16th Street's existing EHR feed — the same feed WCHQ already receives — is the starting point. WCHQ's role is conduit, not calculator. That actually reduces the lift on WCHQ's side.
The full population, in view
WCHQ's blood pressure control measure confirms 4,076 Sixteenth Street patients in its cardiovascular risk denominator. The full 42,819-patient panel carries a broader population — elevated readings, anti-hypertensives, and ASCVD risk factors not yet captured by any measure — surfaced through raw-data sweep.
flows
Example — what program growth looks like for a single economic buyer:
On the merge
FHG approaches this from the health plan claims side first. Each Economic Buyer — Molina, Chorus, and every future payor that joins WIN — carries a multi-year view of every claim paid to SSCHC, Froedtert, Ascension, and Advocate Aurora. That history becomes the match-to-list against every patient in the EHR data. The linkage is built on the claims record.
WCHQ as the statewide measurement platform
WIN is the model. The goal is to establish WCHQ as the measurement platform that carries these metrics and outcomes into broader expansion across Wisconsin — driving new participants, new data programs, and new revenue for WCHQ and the ecosystem.
FHG demonstrates the data infrastructure work — and WCHQ takes it statewide through its network of HCOs and primary care physicians.