Emergency Staff Evaluate Machine Learning Decision Tool for Suicidal Veterans
Emergency department staff reported that a prototype machine learning clinical decision support tool could assist psychiatric hospitalization decisions for suicidal ...
Emergency department staff reported that a prototype machine learning clinical decision support tool could assist psychiatric hospitalization decisions for suicidal ...
An independent qualitative evaluation identified workflow integration, hospital readiness, and human factors as pivotal elements for implementing emergency surgical rescue ...
A qualitative study reveals pediatric primary care clinicians view the Family Check-Up parenting intervention as highly appropriate for young children ...
A single-center retrospective study found that implementing a multicomponent vascular access consultation model significantly improved first-attempt peripheral intravenous catheter insertion ...
The American College of Lifestyle Medicine and eClinicalWorks have announced new lifestyle medicine tools integrated into the eClinicalWorks electronic health ...
Researchers have outlined a ten-rule pedagogical framework for training healthcare data teams in practical artificial intelligence using privacy-first experimentation, realistic ...
A scoping review of eight studies identified four potential AI-related patient safety risks in nursing practice, but found no direct ...
A qualitative study of neonatal nurses in three Dutch intensive care units finds that vascular access decisions are made reactively ...
Interviews with German clinicians and medtech stakeholders reveal that the success of 6G in hospitals will hinge on interoperability, reliability, ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine