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

Recruiting now · Not applicable

Conditions studied: Central Line Associated Blood Stream Infections (CLABSI)

In brief

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.

Key facts

Study ID
NCT07108660
Run by
Swedish Medical Center
People needed
17800
Starts
2025-07-01
Expected to finish
2027-12-01
Last updated by the study team
2025-08-15

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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