Hospital Alert Analytics
Turning Alerts into Actionable Insights
Developed a population-level analytics engine to track ER utilization and discharge patterns across diverse healthcare networks.
Business Problem
Value-Based Care organizations needed to identify 'frequent flyers' and optimize discharge planning to reduce costs.
Technical Challenges
Joining fragmented admission data with historical claims and demographic data to create a 360-degree patient view.
Architecture
A multi-stage ETL pipeline that aggregates data from HIEs, cleanses it, and applies risk-scoring algorithms before loading into Power BI models.
Implementation
Created complex SQL analytics to identify trends in 'avoidable' ER visits and developed interactive dashboards for clinical executive teams.
Scalability
Processes longitudinal data for multiple value-based contracts.
Results / Impact
Identified significant opportunities for cost savings by redirecting patients from ERs to primary care settings.
Lessons Learned
The best analytics are those that lead directly to a clinical workflow change.
Interested in the technical implementation?
Let's discuss how this architecture can be applied to your specific healthcare challenges.