Matching Patient to Provider Panels

**Overview**
Patient attribution—the process of assigning patients to specific providers or care teams—is the foundation of successful value-based care contracts. Research shows that health systems with optimized attribution processes achieve 15-25% better performance on quality measures and 12-18% higher shared savings.

**Use cases**
- Predict attribution changes using machine learning
- Identify at-risk patients before they lose attribution
- Optimize provider panels for maximum clinical and financial impact
- Predict panel over-capacity 6-12 months in advance
- Generate intelligent patient-provider matching recommendations

**Product details**
- Attribution status and risk factors
- Primary care utilization patterns
- Chronic condition indicators
- Provider relationship data
- Risk scores and predictions

**Data Source**: `patient_attribution.attribution_cohort_status`

For more details, refer to the embedded notebook.