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Healthcare
Patient Readmission Prediction
Predictive analytics identifies patients at high risk of 30-day readmission, enabling targeted post-discharge care.

Readmission Reduction
18
%
Annual Savings Usd
1200000
Prediction Accuracy
85
%
The Challenge
Hospital readmissions within 30 days cost the healthcare system billions annually and indicate gaps in post-discharge care.
Our Solution
Predictive model analyzing patient history, vitals, and social factors to identify high-risk patients so care teams can intervene preemptively.
TECHNOLOGIES USED
PythonXGBoostHealthcare NLPAzure MLSQL ServerTableau
Ideal For
Hospitals
ACOs
Health insurers
Visual Insights

