A pioneering U.S. health system partnered with Insight to use machine learning to improve hypertension care, a condition affecting 116 million Americans. With nearly 60% of its patients lacking blood pressure control due to the complexity of prescribing among 70+ medications, Insight built a decision support engine using EHR data, vitals, labs, comorbidities, and 800 patient data points per encounter. The ML model generates patient-specific treatment recommendations, improving accuracy and outcomes. Impact modeling shows potential to add 100 days of life per patient and save 20% of patients about $2,000 annually, while reducing national hypertension costs.

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