Acute care nurses commonly use personalized cognitive artifacts to organize information during a shift. The purpose of this content analysis is to compare information content across three formats of cognitive artifacts used by acute care nurses in a medical oncology unit: hand-made free-form, preprinted skeleton, and EHR-generated. Information contained in free-form and skeleton artifacts is more tailored to specific patient context than the NSR. Free-form and skeleton artifacts provide a space for synthesizing information to construct a "story of the patient" that is missing in the NSR. Future design of standardized handoff tools will need to take these differences into account for successful adoption by acute care nurses, including tailoring of information by patient, not just unit type, and allowing a space for nurses to construct a narrative describing the patients "story."
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
DHCT-GAN: Improving EEG Signal Quality with a Dual-Branch Hybrid CNN-Transformer Network.
Sensors (Basel)
January 2025
Guangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai 519031, China.
Electroencephalogram (EEG) signals are important bioelectrical signals widely used in brain activity studies, cognitive mechanism research, and the diagnosis and treatment of neurological disorders. However, EEG signals are often influenced by various physiological artifacts, which can significantly affect data analysis and diagnosis. Recently, deep learning-based EEG denoising methods have exhibited unique advantages over traditional methods.
View Article and Find Full Text PDFEvaluation of Theta EEG Neurofeedback Procedure for Cognitive Training Using Simultaneous fMRI in Counterbalanced Active-Sham Study Design.
Hum Brain Mapp
January 2025
The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, New Mexico, USA.
Evaluation of mechanisms of action of EEG neurofeedback (EEG-nf) using simultaneous fMRI is highly desirable to ensure its effective application for clinical rehabilitation and therapy. Counterbalancing training runs with active neurofeedback and sham (neuro)feedback for each participant is a promising approach to demonstrate specificity of training effects to the active neurofeedback. We report the first study in which EEG-nf procedure is both evaluated using simultaneous fMRI and controlled via the counterbalanced active-sham study design.
View Article and Find Full Text PDFThe Effect of Processing Techniques on the Classification Accuracy of Brain-Computer Interface Systems.
Brain Sci
December 2024
Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Práter utca 50/a, 1083 Budapest, Hungary.
: Accurately classifying Electroencephalography (EEG) signals is essential for the effective operation of Brain-Computer Interfaces (BCI), which is needed for reliable neurorehabilitation applications. However, many factors in the processing pipeline can influence classification performance. The objective of this study is to assess the effects of different processing steps on classification accuracy in EEG-based BCI systems.
View Article and Find Full Text PDFTwo-dimensional T2*-weighted multi-shot echo-planar imaging to detect cerebral microbleeds in neurocognitive disorders: A time-efficient alternative to susceptibility weighted angiography.
Eur J Radiol
January 2025
Department of Radiology, Rouen University Hospital, Rouen, Normandy, France. Electronic address:
Purpose: To evaluate the effectiveness of ultra-fast two-dimensional (2D) T2*-weighted multi-shot echo-planar imaging (MS-EPI) for the detection of cerebral microbleeds (CMB) in cognitive disorders.
Methods: Sixty-eight patients referred for neuroimaging to investigate cognitive disorders underwent 3 T MR imaging, with both 2D T2*-weighted MS-EPI and susceptibility-weighted angiography (SWAN). Microbleeds were separately assessed on 2D T2*-weighted MS-EPI and SWAN by 2 raters.
Gene-environment interaction in ADHD traits: the role of school environment, personality, callousness-unemotional traits and satisfaction with life.
Eur Child Adolesc Psychiatry
January 2025
Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands.
Article Synopsis
- The study explored how genetic and environmental factors interact to influence ADHD traits, focusing on personality traits, school environment, life satisfaction, and callousness.
- Results indicated that genetics played a more significant role in hyperactivity-impulsivity and inattentiveness among twins with higher conscientiousness and self-satisfaction, showcasing positive gene-environment interactions.
- Conversely, for twins with high callousness, genetic influences were less significant for inattentiveness, highlighting a negative gene-environment interaction that could inform targeted interventions for those at genetic risk for ADHD.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!