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Empowering Faculty to Incorporate Large Language Models in Nursing Education Using a Delegation Framework
Jason Blomquist1, Sarah Llewellyn, Jenny Alderden
1About the Authors The authors are faculty in the School of Nursing, Boise State University, Boise, Idaho. Jason Blomquist, MAOL, RN, NEA-BC, CHSE, is a clinical assistant professor. Sarah Llewellyn, PhD, RN, CNE, is an assistant professor. Jenny Alderden, PhD, APRN, CCRN, CCNS, is an associate professor. Kelley Connor, PhD, RN, ANEF, CHSE, is a professor. The authors acknowledge ChatGPT, a large language model developed by OpenAI, for providing helpful responses and insights during the research process. For more information, contact Jason Blomquist at jasonblomquist@boisestate.edu .
Abstract:
Large language models (LLMs) can support nursing education but pose questions of validity, reliability, and ethical use. This article proposes using the five rights of nursing delegation framework by the National Council of State Boards of Nursing to teach nursing students about the appropriate use of LLMs in health care and nursing education. Nursing faculty can teach students how to assess the validity and reliability of the information provided by LLMs, document its use, and reference and cite information appropriately.
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