Abstract
With the rapid integration of artificial intelligence (AI) in healthcare, it is imperative for nurse leaders to develop AI literacy to effectively lead and manage their teams. This presentation explores the significance of AI literacy for nurse leaders, focusing on the benefits of understanding AI technologies and their applications in nursing practice. By equipping nurse leaders with the knowledge and aptitudes to navigate AI systems, healthcare organizations can advance clinical decision-making, streamline administrative workflows, and achieve transformative improvements in care delivery.
The purpose of this presentation is to highlight the critical role of AI literacy in nursing leadership and to provide a roadmap for nurse leaders to acquire and implement AI knowledge. The presentation will start with foundational AI concepts, then build on what technologies are AI, which technologies are not AI, and how AI transforms the clinical environment. Specific strategies will be presented to include embedding AI concepts into nursing education and leadership training, fostering interdisciplinary collaboration, and addressing ethical considerations such as data privacy, algorithmic bias, and informed decision-making. By leveraging frameworks like the Data-Information-Knowledge-Wisdom (DIKW) model and Bloom’s Taxonomy, nurse leaders can systematically develop competencies in understanding, applying, and evaluating AI technologies.
This presentation highlights the implications of AI literacy for the nursing profession, offering substantial details on how nurse leaders can integrate AI into practice to improve outcomes and innovation. It emphasizes the critical need for responsible use and continuous monitoring and ongoing professional development and collaboration with AI experts to ensure successful adoption and responsible implementation of AI systems
Notes
Reference list included in attached slide deck.
Sigma Membership
Alpha Xi, Mu Psi, Nu at-Large
Type
Presentation
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Other
Keywords:
Global Leadership, Interprofessional, Interdisciplinary, Workforce, Leadership, Emerging Technologies, Artificial Intelligence, AI, AI Literacy, Competence
Recommended Citation
Harmon, Carolyn S., "AI Literacy for Nurse Leaders: Advancing Innovation and Transforming Care" (2025). Biennial Convention (CONV). 225.
https://www.sigmarepository.org/convention/2025/presentations_2025/225
Conference Name
48th Biennial Convention
Conference Host
Sigma Theta Tau International
Conference Location
Indianapolis, Indiana, USA
Conference Year
2025
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record. All permission requests should be directed accordingly and not to the Sigma Repository. All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
Abstract Review Only: Reviewed by Event Host
Acquisition
Proxy-submission
Date of Issue
2025-12-06
AI Literacy for Nurse Leaders: Advancing Innovation and Transforming Care
Indianapolis, Indiana, USA
With the rapid integration of artificial intelligence (AI) in healthcare, it is imperative for nurse leaders to develop AI literacy to effectively lead and manage their teams. This presentation explores the significance of AI literacy for nurse leaders, focusing on the benefits of understanding AI technologies and their applications in nursing practice. By equipping nurse leaders with the knowledge and aptitudes to navigate AI systems, healthcare organizations can advance clinical decision-making, streamline administrative workflows, and achieve transformative improvements in care delivery.
The purpose of this presentation is to highlight the critical role of AI literacy in nursing leadership and to provide a roadmap for nurse leaders to acquire and implement AI knowledge. The presentation will start with foundational AI concepts, then build on what technologies are AI, which technologies are not AI, and how AI transforms the clinical environment. Specific strategies will be presented to include embedding AI concepts into nursing education and leadership training, fostering interdisciplinary collaboration, and addressing ethical considerations such as data privacy, algorithmic bias, and informed decision-making. By leveraging frameworks like the Data-Information-Knowledge-Wisdom (DIKW) model and Bloom’s Taxonomy, nurse leaders can systematically develop competencies in understanding, applying, and evaluating AI technologies.
This presentation highlights the implications of AI literacy for the nursing profession, offering substantial details on how nurse leaders can integrate AI into practice to improve outcomes and innovation. It emphasizes the critical need for responsible use and continuous monitoring and ongoing professional development and collaboration with AI experts to ensure successful adoption and responsible implementation of AI systems
Description
This presentation emphasizes the importance of AI literacy for nurse leaders. Framed with the DIKW model and Bloom’s Taxonomy, we will detail the benefits of understanding AI technologies in nursing practice, and equipping leaders with aptitudes in driving clinical environment innovation to enhance patient care and streamline administrative processes. The presentation also highlights the ethical considerations and collaborative efforts required for the effective integration of AI in nursing.