Summary

Eligibility
for people ages 18 years and up (full criteria)
Location
at UCSD
Dates
study started
study ends around
Principal Investigator
by Ming Tai-Seale (ucsd)
Headshot of Ming Tai-Seale
Ming Tai-Seale

Description

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.

Keywords

Hypertension, lifestyle recommendations, AI/ML, personalized medicine, Digital heath tool, Low-intensity recommendation, High-intensity recommendation

Eligibility

You can join if…

Open to people ages 18 years and up

  • Stage I-II hypertension (average clinical readings of blood pressure over 140/90)
  • Adequate decisional capacity to make a choice about participating in this research study
  • Fully ambulatory (not requiring assistive device such as a cane, wheelchair, walker, etc.)

You CAN'T join if...

  • Pregnancy
  • Under age 18 years
  • Institutionalized individuals who are likely to be vulnerable
  • Dependent on supplemental oxygen

Location

  • University of California, San Diego accepting new patients
    La Jolla California 92093 United States

Lead Scientist at University of California Health

  • Ming Tai-Seale (ucsd)
    Professor, Family Medicine, Vc-health Sciences-schools. Authored (or co-authored) 125 research publications

Details

Status
accepting new patients
Start Date
Completion Date
(estimated)
Sponsor
National Bureau of Economic Research, Inc.
ID
NCT07725250
Study Type
Interventional
Participants
Expecting 3000 study participants
Last Updated