Population Health Analytics

Population Health Analytics: From Panel Lists to Actionable Risk Stratification

Care gap identification, chronic disease management, risk stratification, and population-level outcome measurement for ACOs, value-based care organizations, and health systems managing attributed patient populations.

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$2.1Maverage missed Annual Wellness Visit revenue found in first panel analysis
The Population Health Problem

A Panel List Is Not Population Health Management

Most practices have a list of their diabetic patients. That's not population health management — that's a spreadsheet. Population health management means knowing which of those patients hasn't had an A1C in 6 months, which ones have an A1C above 9%, which ones are overdue for nephropathy screening, and which ones haven't been seen in your practice at all in the last 12 months.

The average practice has 342 patients who are overdue for at least one preventive care service. Finding them requires cross-referencing your encounter data against your panel — something that takes a dedicated analyst hours to do in a spreadsheet, or 30 seconds in Vizier.

For ACOs and value-based care organizations, the stakes are higher. Your shared savings calculation depends on quality measure performance across your attributed population. If you can't identify which patients are in your attribution roster and which care gaps they have, you're flying blind into your MSSP reconciliation.

$2.1M
missed AWV revenue at an average practice
342
average patients overdue for at least one care gap
30 sec
to find all high-risk patients in your panel
15%
average care gap closure rate improvement after 90 days
Care Gap Analytics

Find Every Patient Who Needs You Before They Find the ED

Annual Wellness Visit Compliance
AWV completion rates by provider and by attributed population. The AWV is the highest-value preventive service many Medicare patients are eligible for — and the most commonly missed. We configure tracking by due date, not just completion date, so you're finding patients 30 days before they're overdue rather than 6 months after.
Cancer Screening Compliance
Colorectal cancer screening (colonoscopy, FIT, or Cologuard intervals), mammography, cervical cancer screening, and lung cancer screening for appropriate populations. Screening compliance tracking at the patient level, filterable by provider, age cohort, and payer.
Chronic Disease Follow-up
A1C testing frequency (every 3–6 months for uncontrolled diabetes, annually for controlled), blood pressure monitoring intervals for hypertensive patients, and specialty referral follow-up completion. When a patient with an A1C of 9.8% hasn't been seen in 4 months, the alert fires.
Risk Stratification

High-Risk Patient Identification That Goes Beyond Diagnosis Codes

Vizier's risk stratification uses diagnosis code burden, utilization patterns, care gap accumulation, and chronic condition complexity to score your panel. Patients with multiple chronic conditions, high care gap burden, and low recent utilization are your highest-risk cohort — the patients most likely to deteriorate without proactive outreach.

The stratification isn't a static annual calculation — it updates with each data upload. A patient who was moderate-risk in January and added a heart failure diagnosis in March moves into the high-risk cohort and triggers the appropriate care management workflow.

We configure the risk stratification thresholds based on your patient population's characteristics, not a generic algorithm. A rural primary care practice's high-risk threshold looks different from an urban academic medical center's.

Diagnosis code burden: chronic condition count, HCC category mapping
Utilization pattern analysis: ED visits, hospitalizations, visit frequency
Care gap accumulation: number and type of overdue preventive services
A1C, blood pressure, and lab value trends for chronic disease populations
Social determinants of health flags when available in your EHR data
Chronic condition complexity: comorbidity combinations that predict deterioration
Chronic Disease Management

Disease Panel Views That Drive Clinical Action

Diabetes Panel
A1C control rate (goal: <7% or <8% for elderly patients)
A1C testing frequency compliance
Nephropathy screening (urine microalbumin annually)
Retinal exam compliance (annually)
Blood pressure control in diabetic patients
Foot exam documentation
Hypertension Panel
Blood pressure control rate (goal: <140/90 or <130/80 for high-risk)
Follow-up interval compliance for uncontrolled HTN
Medication adherence proxy (prescription fill data if available)
Cardiovascular risk co-morbidity tracking
BP reading documentation frequency
Stage 1 vs. Stage 2 HTN distribution
COPD/Asthma Panel
Action plan documentation compliance
Spirometry testing frequency
Hospitalization and ED visit rate tracking
Inhaler prescription currency
Pulmonology referral completion rate
Smoking cessation counseling documentation
ACO & MSSP Analytics

Shared Savings Visibility Before the Annual Reconciliation

MSSP reconciliation happens once a year, but the quality measure performance and expenditure trending that determines your shared savings calculation unfolds over 12 months. Organizations that wait for the annual reconciliation report to understand their position have no opportunity to course-correct.

Vizier tracks MSSP quality measure performance on the same rolling basis as MIPS measures. When your beneficiary access and preventive care composite is trending below the benchmark in Q2, you have two quarters to improve it — not a year-end surprise.

Attribution analytics track which beneficiaries are assigned to your ACO, flag high-cost beneficiaries who are driving expenditure, and identify patients who haven't engaged with your network — the ones most likely to generate unplanned utilization outside your ACO.

Attribution roster tracking with beneficiary engagement scoring
MSSP quality measure performance against benchmark comparators
Shared savings calculation components: expenditure trending, benchmark comparison
High-risk beneficiary identification: HCC score, prior year utilization
Care gap analysis for attributed population across all MSSP quality domains
Patient engagement tracking: visit frequency, care plan completion, AWV rates
How It Works

From Panel Analysis to Active Disease Management in Four Weeks

STEP 01
Panel Analysis & Risk Stratification Setup
We analyze your patient panel, configure the risk stratification algorithm to your population's characteristics, and identify the chronic disease cohorts. The first risk-stratified patient list is ready at the end of week one.
STEP 02
Care Gap Identification
We configure care gap tracking for the preventive services relevant to your population and quality programs — AWV, cancer screenings, chronic disease monitoring intervals. The initial care gap report identifies every patient overdue by service type.
STEP 03
Chronic Disease & ACO Dashboards
Disease panel views, MSSP quality measure tracking (if applicable), and attribution roster analytics are configured and validated against your current data. Training for care management and quality staff is delivered in week four.
Timeline & Outcomes

What to Expect and When

Population health analytics configuration takes four weeks. The first deliverable — your initial care gap report — is typically the most immediately valuable: it identifies revenue recovery (missed AWV billing) and care quality opportunities simultaneously.

Week 1
Panel analysis and risk stratification setup — initial risk-stratified patient list delivered
Week 2
Care gap identification — all patients overdue by service type, filterable by provider
Week 3
Chronic disease dashboards — diabetes, hypertension, COPD panels configured and validated
Week 4
ACO/MSSP reporting (if applicable) — attribution analytics, quality measure tracking
$2.1M
average missed AWV revenue found in first panel analysis
342
average patients overdue for at least one care gap
30 sec
time to find all high-risk patients in your panel
15%
average care gap closure rate improvement at 90 days
Related Services
Care Gap Identification →MIPS Reporting →
Get Started

Run Your First Panel Analysis in the Consultation

Schedule a 30-minute consultation. Bring your patient panel data and we'll run a live care gap analysis to show you how many patients are overdue for what services — before any engagement begins.