Research on artificial intelligence (AI) in medicine is rapidly increasing including AI in nursing care. In this commentary, the authors describe the challenges of using AI in healthcare and the unique implications for nursing practice and policy. In particular, nurses should be involved in the development and testing of any AI used in the nursing process.

… United States and international settings and identified a high prevalence of DDI alert overrides. The authors discuss … interaction alerts in clinical decision support systems: a scoping review. Stud Health Technol Inform. …

During handoffs, nurses are exposed to a variety of interruptions and distractions which may lead to cognitive overload. Using natural language processing, researchers analyzed ten audio-recorded change of shift handoffs to estimate the cognitive load experienced by nurses. Nurses’ use of concise language has the potential to decrease cognitive overload and improve patient outcomes.

Clinical decision support alerts can help identify potential drug–drug interactions, but they can also contribute to alert fatigue. This commentary provides recommendations to inform the design of decision support to address drug–drug interactions. The authors suggest that improvement strategies focus on standardizing terminology and visual cues.

… commentary describes how existing data was used to develop a tool to measure unintended consequences of EHRs, which can …

… failure to rescue in the neonatal intensive care unit. … Gephart SM, McGrath JM, Effken JA. Failure to rescue in …

… informatics … Int J Med Inform … Social network analysis, a method of analyzing communication patterns between … method for studying group dynamics. This study used a related tool, dynamic network analysis, to examine …

The authors describe their experience using a computerized model to understand the impact of organizational, patient unit, and patient characteristics on safety and quality. This study was supported with a grant from the Agency for Healthcare Research and Quality (AHRQ).