NCT06828692View on ClinicalTrials.gov

Implementation of Machine Learning and Hemodynamic Profiles Based Clinical Decision Support Systems for Personalized Guideline Accordant Antihypertensive Regimens in Primary Care: a Pragmatic Cluster Randomized Controlled Trial

NANot yet recruitingINTERVENTIONAL
Enrollment

2,160

Participants

Timeline

Start Date

May 19, 2025

Primary Completion Date

December 31, 2025

Study Completion Date

December 31, 2025

Conditions
Hypertension
Interventions
COMBINATION_PRODUCT

Group A (clinical guideline+machine learning)

Group A (CG+ML): A Clinical Decision Support System (CDSS) with the algorithm that incorporates clinical guideline (CG) and machine learning (ML) approach.

COMBINATION_PRODUCT

Group B (clinical guideline+impedance cardiograph+machine learning)

Group B (CG+ICG+ML): A Clinical Decision Support System (CDSS) with the algorithm that incorporates clinical guideline (CG), hemodynamic parameters measured by impedance cardiograph (ICG), and machine learning (ML) approach.

OTHER

Group C (usual care)

Control group, the physicians manage the hypertensive patients according to their knowledge and experiences.

All Listed Sponsors
lead

China National Center for Cardiovascular Diseases

OTHER_GOV

NCT06828692 - Implementation of Machine Learning and Hemodynamic Profiles Based Clinical Decision Support Systems for Personalized Guideline Accordant Antihypertensive Regimens in Primary Care: a Pragmatic Cluster Randomized Controlled Trial | Biotech Hunter | Biotech Hunter