- Prediction of patients at risk of being readmitted and dates of highest risk
- Recommended actions in the best interest of the patient
- We built a streamlined system to process patient data across all departments for the past five years.
- Leveraged Python/MongoDB pipeline for data processing and feature engineering.
- Analyzed data with advanced classification and time-series forecasting models.
- Results visualized using Tableau for easy interpretation.
- 20% reduction in hospital re-admission numbers.
- Notable reduction in hospital length-of-stay.
- Increased provider’s credibility with better patient care delivery
