In this RCT, up to 100 adults classified as pre-hypertensive will be randomized to either an artificial intelligence (AI) based lifestyle intervention group or an active control group with a 1 to 1 ratio. Both groups will receive an identical activity tracker (Samsung Galaxy Watch) and BP monitor (Omron Evolv). The AI intervention group will receive automated and personalized lifestyle recommendations based on their lifestyle (e.g. sleep, exercise and diet) and blood pressure (BP) data, involving an automated analytics engine using statistics and machine learning. The active control group will not receive these lifestyle recommendations. The investigators aim to assess objectively the effectiveness of the AI-based personalized lifestyle recommendations on the patients BP.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
SINGLE
Enrollment
100
The intervention provides participants with automated and personalized lifestyle recommendations involving a sophisticated analytics engine using advanced statistics and machine learning.
The control group receives an identical activity tracker and BP monitor in order to objectively assess the effectiveness of the experimental group intervention.
University of California, San Diego
La Jolla, California, United States
RECRUITINGAverage change in systolic blood pressure (SBP) in experimental vs. control group
Average SBP during the first and last week of a patient's enrollment will be used to calculate SBP change for each patient.
Time frame: Initial 2 week data collection, weekly lifestyle recommendations, 6 months total
Average change in diastolic blood pressure (DBP) in experimental vs. control group
Average DBP during the first and last week of a patient's enrollment will be used to calculate DBP change for each patient.
Time frame: Initial 2 week data collection, weekly lifestyle recommendations, 6 months total
Number of patients in experimental group that followed lifestyle recommendations
This secondary outcome measure is interested in assessing patient engagement within the experimental group. Data from the activity tracker (steps, sleep quality, active minutes, etc.) will be used to assess whether a patient followed the lifestyle recommendations.
Time frame: Initial 2 week data collection, weekly lifestyle recommendations, 6 months total
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