Commentary: Taking the Pulse on the Integration of the Clinical Nurse Specialist Role in Canada.

Nurs Leadersh (Tor Ont)

Senior Nurse Advisor, Policy, Advocacy and Strategy, Canadian Nurses Association, Ottawa, ON.

Published: April 2018

The Canadian Nurses Association (CNA) is pleased to provide this update on the integration of the clinical nurse specialist (CNS) role in Canada. Many advances have occurred since the publication of the special issue focused on advanced practice nursing (APN) in 2010. The CNA continues to promote and advance this APN role, and views the CNS as an essential and critical role for better care to Canadians.

Download full-text PDF

Source
http://dx.doi.org/10.12927/cjnl.2016.24889DOI Listing

Publication Analysis

Top Keywords

integration clinical
8
clinical nurse
8
nurse specialist
8
role canada
8
commentary pulse
4
pulse integration
4
role
4
specialist role
4
canada canadian
4
canadian nurses
4

Similar Publications

Systematic Review of Hybrid Vision Transformer Architectures for Radiological Image Analysis.

J Imaging Inform Med

January 2025

School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.

Vision transformer (ViT)and convolutional neural networks (CNNs) each possess distinct strengths in medical imaging: ViT excels in capturing long-range dependencies through self-attention, while CNNs are adept at extracting local features via spatial convolution filters. While ViT may struggle with capturing detailed local spatial information, critical for tasks like anomaly detection in medical imaging, shallow CNNs often fail to effectively abstract global context. This study aims to explore and evaluate hybrid architectures that integrate ViT and CNN to leverage their complementary strengths for enhanced performance in medical vision tasks, such as segmentation, classification, reconstruction, and prediction.

View Article and Find Full Text PDF

Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Integration demands the ability to seamlessly incorporate AI-derived measurements into radiology reports. Common data elements (CDEs) define standardized, interoperable units of information.

View Article and Find Full Text PDF

Purpose: The study explores the role of multimodal imaging techniques, such as [F]F-PSMA-1007 PET/CT and multiparametric MRI (mpMRI), in predicting the ISUP (International Society of Urological Pathology) grading of prostate cancer. The goal is to enhance diagnostic accuracy and improve clinical decision-making by integrating these advanced imaging modalities with clinical variables. In particular, the study investigates the application of few-shot learning to address the challenge of limited data in prostate cancer imaging, which is often a common issue in medical research.

View Article and Find Full Text PDF

Unveiling the role of PANoptosis-related genes in breast cancer: an integrated study by multi-omics analysis and machine learning algorithms.

Breast Cancer Res Treat

January 2025

Department of Breast Surgery, Thyroid Surgery, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, No.141, Tianjin Road, Huangshi, 435000, Hubei, China.

Background: The heterogeneity of breast cancer (BC) necessitates the identification of novel subtypes and prognostic models to enhance patient stratification and treatment strategies. This study aims to identify novel BC subtypes based on PANoptosis-related genes (PRGs) and construct a robust prognostic model to guide individualized treatment strategies.

Methods: The transcriptome data along with clinical data of BC patients were sourced from the TCGA and GEO databases.

View Article and Find Full Text PDF

The biopharmaceutical industry has witnessed significant growth in the development and approval of biosimilars. These biosimilars aim to provide cost-effective alternatives to expensive originator biosimilars, alleviating financial pressures within healthcare. The manufacturing of biosimilars is a highly complex process that involves several stages, each of which must meet strict regulatory standards to ensure that the final product is highly similar to the reference biologic.

View Article and Find Full Text PDF

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!