Behavioral Interventions Combining AI/ML and Personalized Medicine to Reduce Cardiovascular Risk - Randomized Controlled Trial

Summary

This study evaluates a new digital health program that uses artificial intelligence (AI) to help patients lower their blood pressure through personalized lifestyle recommendations. The program collects information about patients' daily habits and blood pressure readings, then uses AI to suggest lifestyle changes that may work best for each person. The study will measure how well this program works across different groups of patients and aims to improve the program design to make it more effective and easier to use. The program will be offered to diverse patients at UC San Diego Health, including people of different ages, genders, races/ethnicities, and economic backgrounds, as part of their regular healthcare services.

Conditions

• Hypertension

Interventions

OTHER

Digital heath tool

Digital health tool of patient-tailored lifestyle recommendations for blood pressure maintenance. Current "simplified" remote patient monitoring program referred to as "P1000." Requires daily blood pressure readings only.

OTHER

Low-intensity recommendation

AI-enhanced lifestyle and health recommendations provided weekly. This requires blood pressure readings, as well as passive readings, (e.g. sleep, movement), and a daily questionnaire.

OTHER

High-intensity recommendation

AI-enhanced lifestyle and health recommendations provided weekly, plus daily reminders. This requires blood pressure readings, as well as passive readings, (e.g. sleep, movement), and a daily questionnaire.

Sponsors & Collaborators

• National Institute on Aging (NIA)

  collaborator NIH

• University of California, San Diego

  collaborator OTHER

• National Bureau of Economic Research, Inc.

  lead OTHER

Principal Investigators

• Itzik Fadlon · National Bureau of Economic Research, Inc.

• Ming Tai-Seale · University of California, San Diego

Study Design

Allocation

RANDOMIZED

Purpose

TREATMENT

Masking

NONE

Model

PARALLEL

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2026-04-10

Primary Completion

2027-04-30

Completion

2027-04-30

Countries

• United States

Study Locations