Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review.

Background: Artificial intelligence (AI) holds the promise of supporting nurses' clinical decision-making in complex care situations or conducting tasks that are remote from direct patient interaction, such as documentation processes. There has been an increase in the research and development of AI applications for nursing care, but there is a persistent lack of an extensive overview covering the evidence base for promising application scenarios.

Objective: This study synthesizes literature on application scenarios for AI in nursing care settings as well as highlights adjacent aspects in the ethical, legal, and social discourse surrounding the application of AI in nursing care.

International Uptake of a Proven Intervention to Reduce Death and Dependency in Acute Stroke: A Cross-Sectional Survey Following the QASC Trial.

Background: Uptake of proven interventions requires dedicated resources that may only result in local implementation, thus precluding international practice change. We explored international uptake through online dissemination of the fever, sugar, and swallow (FeSS) protocols from the Quality in Acute Stroke Care (QASC) trial, which showed decreased death and dependency by 15.7% 90-day poststroke.