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

ConditionHypertension
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorNational Bureau of Economic Research, Inc.

About this trial

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.

Eligibility criteria

Qualifiers

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.)

Disqualifiers

Pregnancy

Under age 18 years

Institutionalized individuals who are likely to be vulnerable

Dependent on supplemental oxygen

Trial design

Treatments tested in this trial

  • Digital heath tool
  • Low-intensity recommendation
  • High-intensity recommendation

Treatment groups

3,000 Participants
are divided into 3 treatment groups

Sponsors and collaborators

National Bureau of Economic Research, Inc.

Lead sponsor

National Institute on Aging (NIA)

Collaborator

University of California, San Diego

Collaborator