Predictive Analytics for Patient Churn Prediction in Healthcare
A multi-location outpatient healthcare provider used predictive analytics to identify patients at risk of dropping out of chronic care programs and trigger timely re-engagement interventions.
Overview
A leading outpatient healthcare provider with multiple locations noticed a troubling trend: many patients enrolled in chronic care programs or scheduled for follow-up diagnostics were not returning after their initial visit. This directly impacted both patient health outcomes and the provider’s recurring revenue.…
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Impact Metrics
89%
Model accuracy
86%
Recall rate
22% to 14%
Dropout rate reduction
+18%
Chronic care continuity
Tech Stack
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