NCT07108660 · Swedish Medical Center
Machine Learning Prediction of Possible Central Line Associated Blood Stream Infections and Rate of Reduction
(CLABSI AI)
What this study is about
forward-looking, multi-center, cluster-randomly assigned 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.
View original scientific description
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.
Interventions
BEHAVIORAL
Infection Preventionist Led Best Practices Reminders
Infection preventionists at each study hospital review a dashboard on a daily basis that contains predictions for the infection preventionist's hospital. If a patient is predicted to have a possible CLABSI by the ML model, the infection preventionist reviews the case and recommends next steps to the care team based on Providence's CLABSI prevention best-practices bundle, which include reviewing the line for necessity and recommending alternate IV access when appropriate. If line-removal isn't possible, the infection preventionist collaborates with the direct care team to ensure that the line maintenance best practices are observed, including maintaining a clean, dry and intact dressing and using daily chlorhexidine baths.
Primary outcome measures
CLABSI Rate
Time frame: Day 1 of Hospitalization thru Discharge
Rate of CLABSIs (CLABSI Event Per Central Line Days)
Who can participate
This study lists these criteria on ClinicalTrials.gov. A study coordinator reviews eligibility during screening — this page does not determine whether you qualify.
Inclusion criteria
- The top twenty Providence St. Joseph Health Hospitals by CLABSI burden.
Exclusion criteria
- Less than 18 years of age
Where
- Anchorage, Alaska
- Apple Valley, California
- Burbank, California
- Fullerton, California
- Mission Hills, California
- Mission Viejo, California
- Napa, California
- Orange, California
- Santa Rosa, California
- Tarzana, California
- Portland, Oregon
- Lubbock, Texas
And 6 more locations — see the full list below.
Collaborators
Providence Health & Services
Related conditions & keywords
Frequently asked questions
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Will I receive a placebo instead of treatment?
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Trial duration varies widely depending on the study design and purpose. Some trials last just a few weeks, while others may continue for months or years. The study coordinator will provide specific timeline information during your screening call.
Data: ClinicalTrials.gov · synced Aug 15, 2025 · Source of record for eligibility and locations