NCT05406336Not yet recruiting
Machine Learning to Reduce Hypertension Treatment Clinical Inertia
Source: ClinicalTrials.gov · Last updated 10 Apr 2025 · Not updated for over 12 months - ask the site whether it is still open
Brief summary (registry, in English)
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.
- Status (registry)
- Not yet recruiting
- Study type
- Interventional
- Enrollment
- 50 (estimated)
- First submitted
- 25 May 2022
- Start date
- 25 Apr 2025
- Primary completion date
- 31 May 2025
- Lead sponsor
- Temple University
- Diseases
- High blood pressure
- NCT number
- NCT05406336
What you commit to
- Study type: Interventional
- Planned participants: 50
- From 25 Apr 2025 to the primary completion date, 31 May 2025
- No sites listed in no country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other
- \-
Age in the registry: 20 years to - · Sex: All · Accepts healthy volunteers
This page is information, not medical advice. Discuss any trial with your doctor.