UC's AI-driven algorithm slashes hypertension rates across 90,000 patients

A large-scale intervention at the University of California's six academic medical centres has led to better hypertension control for tens of thousands of patients. The programme, known as the UC Way Hypertension Medication Algorithm, was rolled out across the system in 2023 and reached around 90,000 individuals. Over two years, it helped raise blood pressure control rates from 68.5% to nearly 74%.

The algorithm works by embedding a clinical decision tool directly into electronic health records. It personalises treatment plans based on patient responses and key clinical factors, moving away from a one-size-fits-all approach. Developed through collaboration among healthcare professionals, the system also prioritised medication affordability and reducing treatment disparities.

During the study period, the intervention prevented an estimated 5,000 cases of uncontrolled hypertension. It also averted 72 strokes, 48 heart attacks, and 38 premature deaths. While the programme narrowed racial health gaps, some disparities remained—blood pressure control for Black patients improved from 63.4% to 67.3%. The same framework is now being adapted to manage other chronic conditions, such as diabetes. The UC Way model serves as a potential blueprint for other health networks looking to standardise care and improve outcomes on a large scale.

The UC Way Hypertension Medication Algorithm has demonstrated measurable success in managing high blood pressure across a vast patient population. Its integration into electronic health records and focus on tailored treatment could influence broader healthcare practices. The approach may soon extend to other chronic diseases, offering a scalable solution for improving long-term health outcomes.