Hospital analytics sits across at least four separate systems: the EHR clinical data warehouse, the billing and revenue cycle system, the infection control module, and the CMS quality reporting submission portal. A quality director who wants to understand whether their MORT-30-HF rate is driven by documentation gaps or actual clinical outcomes has to pull data from multiple systems, reconcile patient identifiers, and build the analysis manually — or wait for IT to build a report in six weeks.
MIPS reporting is entirely separate from inpatient quality programs — hospitals run two parallel analytics workflows, one for outpatient MIPS measures and one for CMS IPPS quality reporting including HRRP, VBP, and HAC Reduction Program penalties. The result is that the CFO and the CMO are working from different data sets when they discuss the same patient population.
Generic BI tools like Tableau or Power BI can visualize data, but they require a data analyst to write the logic for geometric mean LOS, CMI adjustment, or SIR calculation. Hospital quality teams don't have time to train BI analysts on clinical definitions — they need tools that already know what LACE score components mean and how CMS calculates HRRP payment adjustments.
Hospitals participate in more CMS quality programs than any other care setting. The IPPS rule ties payment to performance across the Hospital Readmissions Reduction Program (HRRP), the Hospital-Acquired Condition Reduction Program (HAC), and the Hospital Value-Based Purchasing Program (VBP) — three separate programs with three different measurement methodologies, all affecting the same base payment rate. In aggregate, these programs can reduce or increase IPPS payments by 5-6% annually.
CMS Star ratings aggregate HCAHPS, mortality, readmission, safety, and patient experience measures into a single 1-5 star rating visible to consumers on Care Compare. Hospitals with 4-5 stars have documented higher volume and better payer mix. The Leapfrog Hospital Safety Grade adds another public reporting layer that boards, health system leadership, and local media track closely.
Industry Platform Footprint
Vizier connects to the major EHRs and specialty platforms running in hospitals & health systems via FHIR R4, HL7 v2, OAuth-based APIs, or scheduled exports. Each row links to the connector documentation where one exists.
How Hospitals & Health Systems Customers Use Vizier
Illustrative scenarios drawn from the patterns we see across hospitals & health systems operators, networks, and provider groups. Not specific customer stories.
An 800-bed AMC running Epic wants to project the FY HRRP penalty across all six HRRP-targeted conditions (AMI, HF, pneumonia, COPD, hip/knee, CABG) before CMS publishes the rate. Vizier ingests claims and discharge data, computes Excess Readmission Ratio (ERR) per condition, and projects the aggregate Medicare base payment reduction — capped at 3%.
A regional system that grew through acquisition runs Epic at the legacy flagships and MEDITECH at three community hospitals. Vizier ingests data from both, normalises encounter and DRG data, and presents a single case mix index / DRG accuracy / HRRP / HCAHPS dashboard at the system level with drill-down to source hospital.
A 220-bed community hospital wants to model HAC Reduction Program penalty exposure before the next CMS scoring window. Vizier computes hospital-acquired condition rates per 1,000 patient-days (CLABSI, CAUTI, SSI, falls, pressure injuries), projects the composite HAC score, and surfaces the unit-level rates driving the worst-quartile threshold risk.
Upload your Epic, Cerner, or Meditech data export, ask questions in plain English — 'What is our current HRRP penalty exposure for heart failure?' — and get hospital-specific answers in seconds.