Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303643 | PMC |
Publication Analysis
Top Keywords
Similar Publications
In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.
View Article and Find Full Text PDFBackground/aims: Certain sociodemographic groups are routinely underrepresented in clinical trials, limiting generalisability. Here, we describe the extent to which enriched enrolment approaches yielded a diverse trial population enriched for older age in a randomised controlled trial of a blood-based multi-cancer early detection test (NCT05611632).
Methods: Participants aged 50-77 years were recruited from eight Cancer Alliance regions in England.
BSN Learning Pathways: A Leadership Collaboration to Prepare and Retain New Nurses in Specialized Practice Areas.
Nurs Leadersh (Tor Ont)
June 2025
Current nursing shortages, particularly in complex practice or specialty areas, coupled with high attrition rates of both seasoned and new graduate nurses, have required nursing leaders to consider creative approaches to recruit, prepare and retain nurses in specialty areas. This article describes a collaborative partnership between post-secondary institutions and health authorities in one province to address the need to prepare and retain nurses in high-priority specialized areas, such as the intensive care unit or the emergency department. This partnership allows for a proactive connection that leverages the strengths and resources of both healthcare and educational institutions.
View Article and Find Full Text PDFFrom Federal Policy to Bedside Care: A Canadian Perspective on Key Considerations for Nurse Executive Action for AI Adoption - A Commentary.
Nurs Leadersh (Tor Ont)
June 2025
Clinical Practice Leader Corporate Interprofessional Practice Lakeridge Health Durham Region, ON.
The integration of artificial intelligence (AI) into healthcare represents a paradigm shift with the potential to enhance patient care and streamline clinical operations. This commentary explores the Canadian perspective on key organizational considerations for nurse executives, emphasizing the critical role they play in fostering the establishment of AI governance structures and advancing the front-line adoption of AI in nursing practice. The discussion delves into five domains of consideration, analyzing recent developments and implications for nursing executives.
View Article and Find Full Text PDFGlobally and nationally, there has been growing understanding and acknowledgment of systemic racism and its impact as a structural determinant of health. The profession of nursing has an obligation to carefully self-examine so it does not further contribute to systemic racism. Using the National Collaborating Centre for Methods and Tools' rapid review methodology, this rapid review of the literature seeks to understand how whiteness shapes the Canadian nursing profession.
View Article and Find Full Text PDFWant 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!