Managing and preventing C. difficile infections are a continuous challenge in the nation’s hospitals with significant patient and financial impacts.
Patients at high risk of C. difficile are difficult to detect. Artificial intelligence supports pharmacy efforts in targeting healthcare-associated C. difficile infections in hospitals by predicting at-risk patients sooner to improve prevention and treatment.
