Cardiology Analytics

Cardiology Practice Analytics: Heart Failure Management, Cardiac Rehab, and Readmission Prevention

Heart failure is the number one reason for hospital admission over age 65. Cardiac rehab reduces mortality by 26% — but only 20% of eligible patients are referred. Vizier tracks GDMT adherence, cardiac rehab referral gaps, and HF readmission risk in one cardiology-specific platform.

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26%cardiac rehab mortality reduction — but only 20% of eligible patients are referred to the program
The Data Challenge in Cardiology

GDMT Adherence, Cardiac Rehab Referrals, and AF Management Each Require a Separate Data Workflow — None of Them Are Connected.

Guideline-Directed Medical Therapy (GDMT) adherence for heart failure with reduced ejection fraction (HFrEF) is one of the most evidence-based quality metrics in cardiology. The four pillars of HFrEF management — ACEi/ARB/ARNI, beta-blocker, mineralocorticoid receptor antagonist (MRA), and SGLT2 inhibitor — each independently reduce mortality and hospitalization. A cardiology practice managing a panel of HFrEF patients should know their GDMT adherence rate by medication class, which patients are on sub-therapeutic doses, and which patients have documented contraindications versus which simply were never started on indicated therapy. Most cardiologists don't have access to this population-level view without a dedicated analyst pulling EHR data.

The cardiac rehabilitation referral gap is a well-documented quality failure with significant outcome consequences. Post-MI, post-CABG, and heart failure patients who complete cardiac rehab have 26% lower mortality than those who don't participate. Yet only 20-30% of eligible patients are ever referred, and only about half of those who are referred complete the program. Without analytics that cross-reference procedure codes (MI, CABG, valve surgery, heart failure hospitalization) with cardiac rehab referral and enrollment status, cardiologists cannot identify which eligible patients are falling through the referral gap.

Atrial fibrillation management analytics span rate control vs. rhythm control strategy documentation, cardioversion success rates and recurrence, AF ablation 12-month recurrence rates, and anticoagulation management — warfarin time in therapeutic range (TTR target above 65%) and DOAC prescribing patterns by stroke risk profile (CHA₂DS₂-VASc score). These data points live across the EHR, the anticoagulation management service, the EP lab documentation system, and the billing system simultaneously.

GDMT Adherence Gaps for HFrEF Patients
Which HFrEF patients in your panel are not on ARNI therapy (sacubitril/valsartan) without a documented contraindication? Which are not on SGLT2 inhibitor therapy? GDMT adherence analytics by medication class across the entire HFrEF population identifies the highest-impact prescribing opportunities.
Cardiac Rehab Referral and Completion Gap
Post-MI, post-CABG, and heart failure patients identified by procedure and diagnosis codes, cross-referenced with cardiac rehab referral documentation and enrollment status. Which eligible patients have no referral documented? Which were referred but never enrolled? Which enrolled but didn't complete?
AF Ablation Outcomes at 12 Months
AF recurrence rate at 3, 6, and 12 months post-ablation by ablation type (pulmonary vein isolation vs. persistent AF ablation strategy), operator, and patient profile. Cardioversion success rate and time-to-recurrence analytics for rhythm control strategy evaluation.
What Vizier Tracks

Cardiology-Specific Analytics Capabilities

GDMT Adherence Tracking
ACEi/ARB/ARNI, beta-blocker, MRA, and SGLT2i prescribing rates for HFrEF patients with documented EF <40%. Dose optimization tracking — which patients are on half target doses? NT-proBNP and BNP trend monitoring correlated with medication adjustments.
HF 30-Day Readmission Rate
Heart failure 30-day readmission rate — an HRRP measure that affects hospital payment — tracked at the cardiology practice level. Root cause analysis of readmissions: medication adherence, dietary noncompliance, inadequate post-discharge follow-up, or worsening disease trajectory.
Cardiac Rehab Referral Gap
Eligible patient identification (post-MI, post-CABG, post-valve surgery, heart failure) with referral status, enrollment status, and program completion rate. Calculate the number of patients per year who are not receiving a proven 26% mortality reduction because of the referral gap.
Anticoagulation Management
Warfarin TTR (time in therapeutic range) by patient and by provider — target above 65%. DOAC prescribing patterns by stroke risk profile (CHA₂DS₂-VASc) and bleeding risk (HAS-BLED). Bleeding event rates and anticoagulation-related hospitalization tracking.
Device Therapy Analytics
ICD and pacemaker implant volume by indication. Appropriate ICD therapy rates — shocks in patients with LVEF <35% vs. inappropriate shocks. Remote monitoring compliance rates by device manufacturer and patient population. Lead complication rates.
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Imaging Utilization
Echocardiogram utilization by indication and referring provider. Stress test appropriate use criteria (AUC) compliance rate — percentage of nuclear and echo stress tests meeting appropriate use criteria. Cardiac CT utilization trends vs. traditional stress testing.
Quality Programs & Reporting

Cardiology Quality Reporting Requirements

MIPS cardiology quality measures include heart failure beta-blocker therapy at discharge, anticoagulation therapy for AFib (proportion of patients on anticoagulation with CHA₂DS₂-VASc ≥2), cardiac rehab referral for appropriate patients, and coronary artery disease lipid therapy. Cardiology is also affected by hospital HRRP measures — cardiologists who admit HF patients contribute to hospital readmission rates that affect IPPS payment adjustments.

The ACC/AHA cardiovascular data registries — PINNACLE (practice-level quality), NCDR CathPCI (cardiac catheterization), ICD Registry, and LAAO Registry — provide benchmarking and accreditation for cardiology practices. Registry participation is increasingly required for hospital cardiac program credentialing and for commercial payer cardiac center of excellence designations. Registry data submission requires the same patient-level data that underlies MIPS quality measures, creating an opportunity for unified data workflows.

MIPS Quality Measures
Heart failure beta-blocker at discharge, AFib anticoagulation therapy (CHA₂DS₂-VASc), cardiac rehab referral, coronary artery disease statin therapy, appropriate stress testing (imaging AUC)
Cardiovascular Registries
ACC PINNACLE Practice Solutions (ambulatory quality), NCDR CathPCI (cath lab), ICD Registry, LAAO Registry, STS Adult Cardiac Surgery Database
Hospital Quality Programs
HRRP (heart failure 30-day readmission), VBP MORT-30-HF, CMS Star ratings heart failure domain
Payment Models
MIPS fee-for-service, MSSP ACO cardiac population management, BPCI-A (cardiac DRGs — HF, AMI, CABG), commercial cardiac center of excellence contracts
Cardiology Analytics

Close the GDMT Gap and the Cardiac Rehab Referral Gap in One Platform

Upload your cardiology EHR data, ask 'which of our HFrEF patients are not on SGLT2 inhibitor therapy without a documented contraindication?' and get a patient-level list ready for clinical intervention.