Clinical Trial

Machine Learning to Reduce Hypertension Treatment Clinical Inertia

Not Yet Recruiting
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Record status
This record was last updated April 10, 2025 (before its estimated May 31, 2025 completion). Its status may not reflect the trial's current state.
Summary
Among individuals with an uncontrolled BP at the current visit, the objective of this study is to compare clinical management of hypertension with and without information from a machine learning algorithm on whether a patient will have uncontrolled blood pressure at their next follow up visit through a case-vignette study.
Protocol Amendment History 3 amendments
This ClinicalTrials.gov record has been amended 3 times since 2022-06-01; most recent amendment 2025-04-07.
Trial Details
NCT Number NCT05406336
Lead Sponsor Temple University
Conditions Hypertension
Enrollment 50 participants
Start Date 2025-04-25
Primary Completion 2025-05-31 (estimated)
Study Completion 2025-07-31 (estimated)
Updated on ClinicalTrials.gov 2025-04-10