Population Health Analytics & Management Software

The population health management analytics market has fragmented into specialised silos — one vendor for risk stratification, one for care management workflow, one for chronic-disease registries, one for HCC capture, one for quality measure reporting. The result is multiple platforms with overlapping data, conflicting cohort definitions, and an analytics team that spends more time reconciling vendor outputs than running the population.

Vizier consolidates population health analytics into one platform that runs on the same underlying dataset as your MIPS reporting, revenue cycle, and care gap workflows. The risk-stratified cohort the care management team works from is the same cohort the quality director sees in their HEDIS panel and the CFO sees in PMPM trend. No vendor-to-vendor data reconciliation. One cohort definition. One audit trail.

Population health analytics examples this enables: identifying the rising-risk patient cohort with an HCC score increase ≥0.2 since last upload and no recent PCP contact; pulling the chronic-disease registry for patients with diabetes, hypertension, and CKD overdue for A1C; projecting the AWV opportunity in dollars against the eligible-but-unscheduled Medicare panel.

Filter: ICD-10 E10.x / E11.x / E13.x AND most-recent A1C ≥9.0 AND no PCP encounter in past 90 days. Returns patient list with attending physician and last contact for care manager outreach.

Patients whose HCC RAF score has increased ≥0.2 since the prior upload but who have no AWV, PCP visit, or care manager contact in 60+ days. The most leveraged outreach list in any VBC program.

Medicare-eligible patients overdue for G0438 (initial) or G0439 (subsequent) AWV, sorted by months-overdue and aggregated to a dollar value at current CMS fee-schedule rates. Typically $50K–$80K of unfilled revenue per 1,000 Medicare patients.

Per-condition tracking of evidence-based care plan adherence (e.g., HF patients on guideline-directed beta-blocker, ACEI/ARB/ARNI, MRA, SGLT2i) with patient-level non-compliance flags.

Year-to-date acute hospitalisations and ED visits per 1,000 attributed lives, decomposed by primary diagnosis (CHF, COPD, pneumonia, AMI). Compared against ACO benchmark and prior-period baseline.

Where SDOH screening data (PRAPARE, Z-codes, external SDOH feed) is available, joins risk stratification with social complexity flags. Transportation-barrier patients with missed appointments surfaced for transportation-assistance outreach.

The classic population health technology stack has a registry tool, a care management workflow, a risk stratification engine, and a separate reporting platform. Each gets a copy of the EHR data, applies its own logic, and produces output the analytics team stitches together. The patient on the rising-risk list in the stratification tool is not the same patient on the AWV outreach list in the care management tool because the cohort definitions differ.

Vizier ships with the population health data model integrated end-to-end. The same patient definition, the same risk score, the same gap roster, the same revenue opportunity — visible to the care manager, the quality director, the PCP, and the CFO. When the data refreshes, every view refreshes consistently.