We report the findings of a big data nursing value expert group made up of 14 members of the nursing informatics, leadership, academic and research communities within the United States tasked with 1. Defining nursing value, 2. Developing a common data model and metrics for nursing care value, and 3. Developing nursing business intelligence tools using the nursing value data set. This work is a component of the Big Data and Nursing Knowledge Development conference series sponsored by the University Of Minnesota School Of Nursing. The panel met by conference calls for fourteen 1.5 hour sessions for a total of 21 total hours of interaction from August 2014 through May 2015. Primary deliverables from the bit data expert group were: development and publication of definitions and metrics for nursing value; construction of a common data model to extract key data from electronic health records; and measures of nursing costs and finance to provide a basis for developing nursing business intelligence and analysis systems.
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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 PDFNurs 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 PDFfor the opportunity to provide a commentary on the article, How Whiteness Shapes Nursing in Canada - What Does the Literature Say? A Rapid Review (Walker et al. 2025). I want to begin by congratulating the authors on completing a rapid review on a very important topic.
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 PDFNurs Leadersh (Tor Ont)
June 2025
Adjunct Professor School of Nursing, Faculty of Health Department of Community Health and Epidemiology, Faculty of Medicine Faculty of Graduate Studies Dalhousie University Halifax, NS.
Introduction: Black nurses are under-represented in the Canadian nursing workforce. A legacy of discrimination and systemic barriers reinforce the under-representation of Black nurses in the nursing workforce throughout the health system.
Objective: The objective of this study was to identify and describe organizational initiatives for the recruitment, retention and advancement of Black nurses in the healthcare system.
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