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AI Use Case

Predict prescription addiction and abuse

Predict prescription addiction and abuse using data from both individuals and broader historic pattern data. This is especially impactful where there are clusters of cases in similar locations.



Risk reduction - Patient outcomes,Operational Support - Issue triage,Risk reduction - Recovery rate

Case Studies

Blue Cross Blue Shield~Blue Cross Blue Shield predicts individual propensity for opioid abuse with 85% accuracy to modify insurance pricing and support appropriate interventions using machine learning analytics

Potential Vendors

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Healthcare Providers And Services

Data Sets

AI Technologies

Traditional AI,Machine Learning (ML),ML Task - Prediction - Binary Classification,ML Task - Grouping - Clustering,ML Task - Grouping - Anomaly Detection

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