After launching a multi-campus phased rollout of the predictive insulin dosing software, Philadelphia-based Temple Health’s University Hospital has reduced hypoglycemia rates two- to threefold. The ...
The COVID-19 pandemic and industrywide staffing shortages have led to many nurses and other clinical staff being thrust prematurely into nurse leadership positions.
Did you know that right after World War II, in 1949, Saint Anselm College first launched their nursing program? Well, with ...
Childhood obesity has tripled in the United States since the 1970s, with nearly one in five children now classified as obese.
Health systems are rethinking nurse employment models to meet growing demands for flexibility and improve retention. The post-pandemic nursing workforce has largely stabilized, and systems have ...
Ahmad Rashad Nadir and Sarah Abu Lebdeh made international headlines in February after a video of the two nurses allegedly bragging about killing Israeli patients at Bankstown Hospital, in Sydney’s ...
Abstract: A Mixed-Criticality System (MCS) integrates multiple applications with different criticality levels on the same hardware platform. For power and energy-constrained systems such as Unmanned ...
More than half of patients experienced a change in management strategy following amyloid PET, with changes most often related to Alzheimer disease medication or counseling. Amyloid positron emission ...
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Ex-Arlington Heights school nurse guilty of misusing students' prescription drugs, receives jail time
A former elementary school nurse in Arlington Heights pleaded guilty to charges that she misused prescription drugs intended for students. Disney explains Jimmy Kimmel decision as company announces ...
In a heartwarming story capturing nationwide attention, 14 nurses at HSHS St. Vincent Hospital’s Women and Infants Center in Green Bay, Wisconsin, are all expecting babies simultaneously. The hospital ...
Abstract: Deep learning models are increasingly used for making predictions based on clinical time series data, but model generalization remains a challenge. Continual learning approaches, which ...
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