Healthcare
Predictive patient analytics with MLflow
A health system built a readmission-risk model serving clinicians in real time.
22%Fewer readmissions
The challenge
Clinical and claims data lived in silos, making proactive intervention nearly impossible.
Our solution
We unified data into a governed Lakehouse and built an MLflow-managed model deployed via Databricks Model Serving.
Results
- 22% reduction in 30-day readmissions
- HIPAA-aligned governance with Unity Catalog
- Model lifecycle fully tracked in MLflow