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Machine Learning Prediction of Possible Central Line Associated Blood Stream Infections and Rate of Reduction
Prediction and Reduction of Central Line Associated Blood Stream Infections: A Machine Learning Improvement Study
Who can join
Ages 18 and older · All sexes
Full eligibility criteria
Inclusion Criteria: * The top twenty Providence St. Joseph Health Hospitals by CLABSI burden. Exclusion Criteria: * Less than 18 years of age
About the study
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.
What is being tested
- Infection Preventionist Led Best Practices Reminders (behavioral)
Sponsor: Swedish Medical Center · Participants: 17,800 · Started: Jul 1, 2025
Contact the study team
- Chris Dale, MD, MPH · Phone: 425-747-5822
- Evan Sylvester, MPH · Phone: 425-681-6961
Official record on ClinicalTrials.gov — NCT07108660
Locations in the U.S.
From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.