Use CaseHealthcare / Healthcare providers and services

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.

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Risk reduction

Risk reduction - Recovery rate

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Risk reduction

Risk reduction - Patient outcomes

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Operational Support

Operational Support - Issue triage

Description

Predict prescription addiction and abuse

Linked Case Studies

Case Study

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

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