Background Clostridium difficile is a leading cause of morbidity and mortality in several
countries. However, there are limited evidence characterizing its role as a global public …

Objectives Clinical decision support systems (CDSS) for antimicrobial management can
support clinicians to optimize antimicrobial therapy. We reviewed all original literature …

Clostridium difficile is a Gram-positive, spore-forming organism which infects and colonizes
the large intestine, produces potent toxins, triggers inflammation, and causes significant …

Objective To identify approaches of using stand-alone and more integrated hospital
ePrescribing systems to promote and support the appropriate use of antibiotics, and identify …

Summary Introduction Predictive models for Clostridioides difficile infection can identify high-
risk patients and aid clinicians in preventing infection. Issues of generalizability regarding …

Background Clostridioides difficile infection (CDI) is an important cause of diarrheal disease
associated with increasing morbidity and mortality. Efforts to develop a preventive vaccine …

Objective: To systematically review the methodology, performance, and generalizability of
diagnostic models for predicting the risk of healthcare-facility–onset (HO) Clostridioides …

Objective To identify approaches of using stand-alone and more integrated hospital
ePrescribing systems to promote and support the appropriate use of antibiotics, and identify …

Abstract In 2013, the Centers for Disease Control and Prevention (CDC) classified
Clostridium difficile, the bacterium responsible for Clostridium difficile-associated disease …

Background: The growing threat of Antimicrobial Resistance (AMR) requires innovative
methods to promote the sustainable effectiveness of antimicrobial agents. Hypothesis: This …