Machine Learning Prediction of Possible Central Line Associated Blood Stream Infections and Rate of Reduction

Prospective, multi-center, cluster-randomized trial of a hospital Infection Preventionist (IP)-led quality improvement study to provide clinical teams with just-in-time clinical education and reinforcement of existing best practices recommendations based on the output of a possible Central Line Associated Blood Stream Infection (CLABSI) Machine Learning (ML) prediction model. The objective is to determine whether providing this model to Infection Preventionists will decrease the CLABSI rates versus routine clinical practice.

NCT Number	NCT07108660
Lead Sponsor	Swedish Medical Center Collaborators: Providence Health & Services
Conditions	Central Line Associated Blood Stream Infections (CLABSI)
Enrollment	17,800 participants
Start Date	2025-07-01
Primary Completion	2025-11 (estimated)
Study Completion	2027-12 (estimated)
Updated on ClinicalTrials.gov	2025-08-15