Hospital Re-admission Prediction and Prevention

Hospital Re-admission Prediction and Prevention

Customer Challenges:

  • Prediction of patients at risk of being readmitted and dates of highest risk.
  • Recommended actions in the best interest of the patient.


  • Efficient Hospital Resource Management
  • Dramatically Reduced Hospital re-admissions
  • Reduced Hospital Length-of-Stay
  • Improved Patient Care

CoreView Solution:

  • Approx 5 year old Patients data processing across departments.
  • Python/MongoDB pipeline – Data processing and feature engineering
  • Advanced classification models and time-series forecasting models
  • Visualization of the results using Tableau.

Other Considerations:

  • Data Pipelines for Legacy and Real time Data Processing
  • Data Engineering – Ingestion, Cleansing, Integration, Mapping, Storage, Security

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