Machine learning-based early warning systems (EWSs) can detect clinical deterioration more accurately than point-score tools. In patients with sepsis, however, the timing and scope of sepsis interventions relative to an advanced EWS alert are not wel...
Matching resources to demand is a daily challenge for hospital leadership. In interdisciplinary collaboration, nurse leaders and data scientists collaborated to develop advanced machine learning to support early proactive decisions to improve ability...
Human caring, founded on a Japanese caring perspective and nursing theory, fosters innovative and creative ideas for an aging society. The growing reality of health care dependency on technology presents a temptation to give robots utility as partner...
Nurse leaders are dually responsible for resource stewardship and the delivery of high-quality care. However, methods to identify patient risk for hospital-acquired conditions are often outdated and crude. Although hospitals and health systems have b...
The purpose of this article is to publicize an important new Web-based educational program. Recognizing the growing gap in psychiatric-mental health knowledge and the need to better prepare new graduates and nurses transitioning from other service li...