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Healthcare

Patient Readmission Prediction

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

Patient Readmission Prediction hero
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

Patient Readmission Prediction gallery 1
Patient Readmission Prediction gallery 2