Opportunity for Change
Value-based care (VBC) thrives on accurate insight: understanding utilization, forecasting risk, identifying care gaps, and enabling the right interventions at the right time.
But for many health systems, data remains siloed, dashboards fragmented, and analytical models inconsistent. Leaders struggle to translate raw data into reliable, actionable intelligence that can guide operations, care management, and population health strategy.
We addressed this challenge by building unified analytics and dashboarding ecosystem, capable of managing insights for large number of VBC contracts, supporting multitude of payors, and generating more than 50+ analytical reports across clinical, financial, operational, and population health domains.
Context
VBC teams need integrated, predictive, and clinically meaningful insights that inform decisions from contracting to care delivery. Yet traditional reporting models often face barriers.
Without structured, automated, and clinically aligned analytics:
- Contracting teams lack insight into bundle performance or cost drivers
- Care management lacks timely visibility into patient risk, gaps, and engagement trends
- Providers cannot reliably compare utilization to benchmarks
- Operational leaders struggle to manage trends across episodes, disease stages, and care settings
- Quality teams lack integrated reports to support compliance and scorecard tracking
These limitations have real operational consequences:
- Missed opportunities to reduce avoidable utilization
- Inaccurate forecasting of patient visits and high-cost episodes
- Underdeveloped strategies for chronic diseases and transitional care
- Poorly identified drivers of cost variation, including SDOH factors
- Ineffective risk stratification and patient segmentation
To enable true VBC performance, analytics must evolve from descriptive reporting into a predictive, systemized capability.
Our Approach
Providence developed a comprehensive consultative analytics and dashboard ecosystem to support VBC contracting, operations, and population health management.
The system includes:
Enterprise Analytics and Dashboards
- Transitional Care Management
- Primary Care Provider (PCP) and leading utilization indicators
- Post-acute utilization, including Skilled Nursing Facility (SNF) and Home Health services
- Claims-based utilization
- Risk scoring and patient stratification
- Contract and bundle performance
- Population-level spend detail
- Patient engagement
- Quality scorecards
- Patient-level quality gaps
- Hierarchical Condition Category (HCC) performance and trends
Advanced Analytical Models
- Predictive model for identifying Bundled Payments for Care Improvement (BPCI)–eligible congestive heart failure (CHF) patients
- Leading utilization indicators enabling 3-month forecasting
- Total cost-of-care models for chronic kidney disease (CKD) across all disease stages
- Social determinants of health (SDOH) cost and outcome multipliers
- Patient-behavior and mental-health impact models
- Benchmarked utilization comparisons using Milliman datasets
- Pre-visit Hierarchical Condition Category (HCC) models using patient-registration and diagnostic data
On-Demand Insights
- Rapid ad-hoc reports
- Consultative analytics for contracting
- Surgical site infection detection powered by AI
- Documentation of analytical methodologies and business problem frameworks
Knowledge and Reuse Assets
- A 100+ hypothesis/use-case repository to guide investigation
- Native small language models for medical summarization and data abstraction
- Value oriented architecture for episode analytics (inpatient + post-discharge + payment flows)
Together, this creates a learning analytics system, one that continuously improves intelligence, reduces manual work, and strengthens VBC performance.
Transformative Outcomes
Predictive Intelligence and Clinical Insight
- Early identification of Bundled Payments for Care Improvement (BPCI)–eligible congestive heart failure (CHF) patients
- Forecasting of high-utilization visits to strengthen resource planning
- Chronic kidney disease (CKD) cost-of-care models enabling stage-specific interventions
- Enhanced accuracy in Hierarchical Condition Category (HCC) preparation, improving Risk Adjustment Factor (RAF) scores and overall risk capture
Operational Impact
- Faster and more accurate creation of 50+ VBC reports
- Standardized dashboards across large number of contracts
- Improved ability to compare provider utilization to market benchmarks
- Better prioritization of high-risk patients through refined segmentation
Performance and Strategy Enablement
- Clear visibility into contract performance across bundles and alternative payment models (APMs)
- Insights into social determinants of health (SDOH), behavioral drivers, and clinical multipliers
- More accurate planning for transitional care and post-acute needs
- Improved quality scores through integrated gap reporting and scorecard reporting
Scalability
- Supports many payors with diverse requirements
- Reusable hypotheses and models shorten insight-development time
- Centralized knowledge assets reduce onboarding time for new programs
Impact in practice
By centralizing intelligence, modernizing predictive capabilities, and building a shared foundation of reusable analytical assets, clinicians, care managers, contracting teams, and operational leaders are equipped with the insights they need, when they need them.
This approach empowers better decisions, drives smarter interventions, and strengthens population health strategies across diverse VBC programs.
