Healthy Heart

Digital innovations are reshaping healthcare, yet there remains a gap in understanding the real-world impact of AI-driven health technologies. This project at UC San Diego Health aims to bridge that gap by evaluating the effectiveness of a newly developed AI-based digital health intervention designed to reduce cardiovascular risk.

The automated platform integrates remote monitoring with machine learning (ML) to deliver personalized lifestyle recommendations based on real-time lifestyle and blood pressure data. The intervention will be conducted at UC San Diego Health as an embedded program within existing patient care workflows and will be offered to its wide and diverse population of patients across the dimensions of gender, age, race/ethnicity, and geographic economic affluence.  

Building on Proven Success in Digital Health

This project builds upon the success of UC San Diego Health’s first-generation digital health program, which significantly improved blood pressure management. In a study of 2,512 patients referred to the remote patient monitoring program, participants experienced a 70% increase in reaching healthy systolic blood pressure levels. By leveraging Bluetooth-enabled blood pressure devices and real-time data integration into electronic health records, clinical staff provided tailored care and proactive management. The program demonstrated substantial health improvements across age, gender, race, and ethnicity, reinforcing the potential of digital health innovations to drive equitable and effective patient outcomes.

View a summary of the study highlights (PDF)

For the full research report, see our published findings here.