HealthPulse – Predictive Hospital Readmission Model

Platforms

Python (Scikit-learn), Epic EHR API, Redshift, Power BI, Twilio (SMS), Uber Health API

Service

Predictive Modeling, EHR Integration, Intervention Workflow Design, Dashboard, Clinical Validation

Project Timeline

8 Months (Data Access → Model Training → Pilot Ward → Intervention Design → Hospital-Wide Rollout)

Increased in ROI revenue

→ 22% reduction in 30-day readmissions
→ $1.2M saved per hospital/year in penalty avoidance
→ 92% nurse satisfaction with tool
→ 18% higher patient satisfaction scores

HealthPulse analyzes EHR data (diagnoses, vitals, meds), social determinants (housing, transport access), and post-discharge behavior (med adherence via app logs) to predict 30-day readmission risk. High-risk patients trigger:

  • Nurse call within 24 hrs of discharge.
  • Free Uber Health ride to follow-up.
  • Medication delivery reminder SMS.
    Model retrained weekly with new outcomes. Epic EHR integration ensures real-time data flow. Dashboard shows risk scores per patient for care coordinators.

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