Algorithm Drives Blood Pressure Control Across UC Health Centers

Why It Matters

The results prove that a unified, data‑driven treatment algorithm can lift chronic‑disease outcomes in a large, decentralized public health system, delivering measurable reductions in costly cardiovascular events.

Key Takeaways

• Control rose to ~74% across 90,000 patients.
• Prevented ~72 strokes, 48 heart attacks, 38 deaths.
• Black patient control improved to 67.3%, narrowing disparity.
• Algorithm integrates affordability, EHR, multidisciplinary design.
• Model scalable to other chronic diseases and health systems.

Pulse Analysis

Hypertension remains the leading modifiable risk factor for cardiovascular disease in the United States, affecting roughly one in three adults and driving billions in health‑care costs. Large, fragmented health networks often struggle to apply uniform treatment guidelines, leading to wide variations in medication choice, dosing, and patient adherence. The University of California Health system, with more than nine million outpatient visits annually, faced exactly this challenge, prompting a collaborative effort among cardiologists, primary‑care physicians, pharmacists and data scientists to craft a single, evidence‑based algorithm that could be embedded across diverse electronic health records.

The UC Way algorithm employs a stepwise escalation of antihypertensive agents, prioritizing drugs that are both clinically effective and financially accessible under California’s Medicaid, Medicare and commercial formularies. Over a two‑year rollout beginning in 2023, the program lifted overall blood‑pressure control from 68.5% to nearly 74% among 90,000 patients, equating to roughly 4,860 additional individuals achieving target levels. The model averted an estimated 72 strokes, 48 heart attacks and 38 deaths, while also improving control for Black patients to 67.3%—a modest but meaningful reduction in a historically underserved cohort.

Beyond the immediate health gains, the initiative offers a replicable blueprint for other decentralized health systems seeking to standardize chronic‑disease management. By coupling clinical guidelines with real‑world cost‑access analyses and integrating the tool directly into clinicians’ workflow, UC Health demonstrated that scalability does not require a monolithic formulary. The same framework is already being adapted for diabetes care, and its success underscores the broader shift toward value‑based, data‑rich health‑system design that can drive population health improvements while containing costs.