Summary
Deployed machine learning models to analyze longitudinal clinical and device data across kidney patients. Identified high-risk individuals and flagged potential therapy disruptions before adverse events occurred. Embedded actionable insights into clinician workflows to support personalized interventions. Improved care quality and reduced avoidable hospitalizations in value-based healthcare settings.