Healthcare Predictive Analytics for Patient Readmissions
Major US Hospital Network
Healthcare
Challenge
High rates of unplanned 30-day hospital readmissions leading to financial penalties. Existing risk identification methods were not accurate enough.
Solution
Developed a custom machine learning model using XGBoost with 200+ engineered features from EHR, claims, and nursing assessment data. Deployed via secure API integrated into the hospital’s EHR system.
Key Results
0.83
Model AUC Score
18%
Reduction in Readmissions
$4.2M
Annual Savings
25%
Improved Care Coordination
- Duration: 6 months
- Team: 4 specialists
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