Novel Strategies for Predicting Healthcare-Associated Infections at Admission: Implications for Nursing Care

Discussion SML methods show potential for automated accurate UTI risk stratification using electronic data routinely available at admission; this could relieve nurses from the burden of having to complete and document additional risk assessment forms in the electronic medical record. Future studies should pilot and test interventions linked to the risk stratification results, such as short nursing educational modules or alerts triggered for high-risk patients.
Source: Nursing Research - Category: Nursing Tags: BRIEF REPORTS Source Type: research