SNF Quality Analytics Platform
Data analytics platforms built specifically for skilled nursing facilities — CMS 5-Star metrics, QAPI dashboards, MDS analysis, and AI-driven quality insights for SNF operators and multi-facility groups.
The Challenge
SNF Quality Data Is Rich But Underutilised
Skilled nursing facilities generate enormous volumes of quality data — MDS assessments, staffing reports, incident records, survey results, and rehospitalisation data. CMS publishes this data publicly through Care Compare, but the raw data is difficult to analyse without specialist knowledge of the 5-Star Quality Rating System methodology. Most SNF operators rely on static PDF reports, delayed survey data, and manual spreadsheet analysis — which means quality problems are identified months after they could have been addressed. Facilities that understand how the 5-Star algorithm actually works — which measures drive the most star impact, how timing of MDS submissions affects scores, and which resident cohorts are driving poor quality measure performance — have a systematic advantage in quality management.
Deliverables
SNF Analytics Platform Capabilities
- CMS 5-Star Quality Rating analytics — real-time calculation of all three 5-Star domains (staffing, health inspections, quality measures) with predictive scoring
- Quality measures dashboard — all 15 CMS quality measures with resident-level drill-down to identify which cohorts drive poor performance
- MDS 3.0 analysis pipeline — ingest and analyse MDS submission data, flag at-risk residents, and identify documentation gaps that affect quality measure scores
- Rehospitalisation tracking — 30-day and 60-day rehospitalisation rate tracking with root cause analysis by diagnosis and care team
- Staffing analytics — NHSN staffing data analysis, agency staff tracking, and staffing level correlation with quality outcomes
- Multi-facility benchmarking — compare quality metrics across facilities in a portfolio, identify best-practice facilities, and target improvement resources
- AI-powered QAPI insights — AI Clinical Ops Agent integration for automated QAPI action plan generation from quality metric trends
- Survey preparation analytics — identify patterns in past survey deficiencies, flag high-risk areas, and prepare evidence for survey readiness
- Payer mix analytics — Medicare, Medicaid, and managed care quality incentive programme performance tracking
- PDPM analytics — Patient-Driven Payment Model classification analysis and revenue optimisation insights
Stack
Analytics Technology Stack
Process
Analytics Platform Delivery
A clear, predictable engagement model with no surprises.
Data Source Assessment
Inventory available data sources — EHR/EMR exports, MDS submission data, NHSN feeds, CMS public datasets, and internal operational data. Design the data architecture for combining these sources into a unified analytics data model.
Data Pipeline Build
Build ingestion pipelines for each data source. Implement data quality validation, deduplication, and transformation logic. Load into an analytics data warehouse with star schema optimised for SNF quality reporting.
Metrics & Dashboard Development
Implement the CMS quality measure calculations, 5-Star algorithm logic, and custom facility metrics. Build dashboards in Power BI or a custom React application with role-based access for administrators, DONs, and facility leaders.
AI Integration & Insights
Integrate AI Clinical Ops Agent capabilities for automated QAPI recommendation generation. Implement alert logic for metric threshold breaches and predictive quality flags.
Training & Go-Live
Train clinical and administrative users on the platform. Go-live with hypercare support. Establish a monthly analytics review process with defined owners for each quality domain.
FAQ
Frequently Asked Questions
Ready to Transform Your SNF Quality Analytics?
Free 30-minute call — discuss your current quality data challenges and what an analytics platform could achieve.
Response within 24 hours · No commitment required