Intelligent Systems
A hospital network
Predicting hospital readmission risk
- Healthcare
- Client under NDA
- Global
- 15%
- Reduction in hospital readmissions
- EHR
- Native, predictions inside clinical workflow
High readmission rates were damaging both patient outcomes and the provider's cost base, with no reliable way to identify at-risk patients before discharge.
What we did
- 01Reviewed medical history and operational data, unifying it into a single dataset
- 02Engineered features identifying the strongest readmission predictors
- 03Cross-validated candidate models against historical outcomes
- 04Integrated predictions directly into EHR clinical workflows with staff training
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