Healthcare · Analytics & AI
Predictive Analytics for Early Detection and Triage
+45%
Earlier Risk Detection
-60%
False Positives
+30%
Clinical Efficiency
✓
Production Deployment
Context
A regional healthcare network wanted earlier risk detection and better triage while protecting patient safety and privacy.
Constraints
Clinical safety • Privacy and EMR integration • Adoption by clinicians
Actions
- Built data pipeline with governance; integrated with EMR
- Developed risk models with model cards and explainability
- Set monitoring for accuracy, drift, and overrides
- Trained clinicians and designed clear escalation flows
Artefacts Delivered
Model cards
Monitoring dashboards
Clinical playbooks
Enablement materials
Results
+45% earlier risk detection • -60% false positives • +30% clinical efficiency • Deployed in production with governance
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