Improving blood culture collection in adults

This trial tests whether a machine learning model can help doctors decide when to order blood cultures for patients in the emergency department. It aims to reduce unnecessary tests while still catching infections.

This trial is checking whether blood cultures taken from an arterial line are more or less likely to be contaminated and whether they detect bloodstream infections just as well as cultures from a vein. The goal is to make blood draws safer and more accurate for ICU patients.

This study tests a new machine learning method to quickly identify bacteria in the blood using special sample bottles. If you are getting blood cultures done already, this may help get results faster.

This study gathers information about blood infections to better understand them and improve care. It may help by providing detailed data on your specific infection.

This trial tests a new, faster way to find bacteria in the blood of children with suspected sepsis. It uses a molecular test that may give results sooner than standard cultures, helping doctors treat infections more quickly.

This study tests a new blood test (Microbio InfectID-BSI) to see how well it detects bacteria and yeast in patients with a possible bloodstream infection. If you are already having a blood culture done, the study will collect extra blood samples at the same time to compare the new test's results.