NCT04543656

Personalized Blood Pressure Care Using IoMTs and Artificial Intelligence

Personalized Blood Pressure Care for Prehypertensive Patients Using IoMTs and Artificial Intelligence

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 100 (estimated)
• Sponsor: University of California, San Diego · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

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.

Conditions

• Pre-hypertension

Interventions

Type	Name	Description
BEHAVIORAL	AI-Based Lifestyle Recommendations	The intervention provides participants with automated and personalized lifestyle recommendations involving a sophisticated analytics engine using advanced statistics and machine learning.
OTHER	No Lifestyle Recommendations	The control group receives an identical activity tracker and BP monitor in order to objectively assess the effectiveness of the experimental group intervention.

Timeline

• Start date: 2020-10-01
• Primary completion: 2022-06-01
• Completion: 2022-06-01
• First posted: 2020-09-10
• Last updated: 2021-09-28

Locations

1 site across 1 country: United States