Clin2
NCT07762378Possibly a fitNot yet recruiting

Machine learning tool for choosing antibiotics in hospitals

Pneumonia - BacterialUrinary Tract Infection BacterialBloodstream Infection

Part of Infections, Lungs & breathing clinical trials.

This study uses machine learning to help doctors choose the right antibiotics for serious infections like sepsis, pneumonia, or urinary tract infections. It aims to improve treatment outcomes by analyzing patient data and providing recommendations to the care team.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
486 people
Ages
18 years and older
Study type
Interventional

Who can take part

  • You must be 18 years or older.
  • You must be a patient in the nephrology, oncology, or intensive care unit (ICU).
  • You must have been diagnosed with sepsis (a severe infection in the blood), pneumonia (lung infection), or a urinary tract infection.
  • You must have started antibiotic treatment.
  • You cannot have an allergy to beta-lactam antibiotics (like penicillin).
  • You must not be enrolled in another trial for an antibiotic medication.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

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