Description
Personalise messaging, incentives and media used to improve wellness and prescription adherence
Benefits & ROI
0.4
Key considerations
Upside3
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
Case Study
United States Department of Veterans Affairs
The US Veterans Affairs was able to increase therapy completion rate among war veterans with PTSD by more than six times using machine learning to personalise the program
Case Study
Banner Health
Banner Health saves $29m in three years by helping avoid hospitalisation for patients with multiple chronic conditions by remote monitoring of vitals and analysis with machine learning
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Source: mckinsey.com · Editor: original