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

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorSwedish Medical Center

About this trial

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.

Eligibility criteria

Qualifiers

The top twenty Providence St. Joseph Health Hospitals by CLABSI burden.

Disqualifiers

Less than 18 years of age

Trial design

Treatments tested in this trial

  • Infection Preventionist Led Best Practices Reminders

Treatment groups

17,800 Participants
are divided into 2 treatment groups

Sponsors and collaborators

Swedish Medical Center

Lead sponsor

Providence Health & Services

Collaborator