ML-powered risk scoring for 12 chronic condition pathways
by CareCORE AnalyticsThe Population Risk Stratification Engine from CareCORE Analytics uses gradient boosted trees and transformer-based clinical NLP to score patient cohorts across 12 chronic condition pathways. It ingests FHIR R4 Patient, Observation, Condition, and Claim resources and outputs composite risk scores, care gap flags, and social determinant signals via FHIR R4 RiskAssessment resources. Deployed across 14 ACOs and 3 MSSP participants, it has identified 23% more high-risk patients than traditional claims-based stratification alone, enabling earlier outreach and reducing preventable ED utilization by 18%.
+23%
High-Risk Patients Identified
18%
-18%Preventable ED Reduction
42 measures
HEDIS Measure Coverage
0.84
Model AUC (Avg)
< 200ms
Scoring Latency
2.1M lives
Population Coverage
HIPAA BAA included with all enterprise plans