Empowering Faculty to Incorporate Large Language Models in Nursing Education Using a Delegation Framework.
| Title: | Empowering Faculty to Incorporate Large Language Models in Nursing Education Using a Delegation Framework. |
|---|---|
| Authors: | Blomquist J; About 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 .; Llewellyn S; Alderden J; Connor K |
| Source: | Nursing education perspectives [Nurs Educ Perspect] 2025 Mar-Apr 01; Vol. 46 (2), pp. 126-128. Date of Electronic Publication: 2024 Feb 26. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: National League for Nursing Country of Publication: United States NLM ID: 101140025 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1536-5026 (Print) Linking ISSN: 15365026 NLM ISO Abbreviation: Nurs Educ Perspect Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: New York, NY : National League for Nursing, c2002- |
| MeSH Terms: | Education, Nursing*/organization & administration ; Faculty, Nursing* ; Models, Educational* ; Empowerment* ; Power, Psychological* ; Education, Nursing, Baccalaureate*; Humans ; United States ; Large Language Models |
| Abstract: | 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.; (Copyright © 2024 National League for Nursing.) |
| Competing Interests: | The authors have declared no conflict of interest. |
| References: | Ali O., Abdelbaki W., Shrestha A., Elbasi E., Alryalat M. A. A., Dwivedi Y. K. (2023). A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities. Journal of Innovation & Knowledge , 8(1), 100333. https://doi.org/10.1016/j.jik.2023.100333. (PMID: 10.1016/j.jik.2023.100333); American Association of Colleges of Nursing. (2021). The essentials: Core competencies for professional nursing education . https://www.aacnnursing.org/Essentials/Download-Order.; Barrow J. M., Sharma S. (2022). Five rights of nursing delegation. In StatPearls [Internet]. StatPearls. https://www.ncbi.nlm.nih.gov/books/NBK519519/.; Bohr A., Memarzadeh K. (2020). The rise of artificial intelligence in healthcare applications. In A. Bohr, K. Memarzadeh (Eds.), Artificial intelligence in healthcare (pp. 25–60). Academic Press. https://doi.org/10.1016/B978-0-12-818438-7.00002-2.; Elzas S. (2023). French university bans ChatGPT as educators debate use of AI text generators . RFI. https://www.rfi.fr/en/science-and-technology/20230201-french-university-bans-chatgpt-as-educators-debate-use-of-ai-text-generators.; Harrer S. (2023). Attention is not all you need: The complicated case of ethically using large language models in healthcare and medicine. EBioMedicine , 90, 104512. https://doi.org/10.1016/j.ebiom.2023.104512. (PMID: 10.1016/j.ebiom.2023.104512); OpenAI. (n.d.). GPT-3.5 language model May 12 Version . https://openai.com/.; National Council of State Boards of Nursing. (2016). National guidelines for nursing delegation. Journal of Nursing Regulation , 7(1), 5–14.; Ng Z. P., Ling L. J., Chew H. J., Lau Y. (2022). The role of artificial intelligence in enhancing clinical nursing care: A scoping review. Journal of Nursing Management , 30(8), 3654–3674. https://doi.org/10.1111/jonm.13425. (PMID: 10.1111/jonm.13425); Pham S. T. H., Sampson P. M. (2022). The development of artificial intelligence in education: A review in context. Journal of Computer Assisted Learning , 38(5), 1408–1421. https://doi.org/10.1111/jcal.12687. (PMID: 10.1111/jcal.12687) |
| Entry Date(s): | Date Created: 20240226 Date Completed: 20250421 Latest Revision: 20250522 |
| Update Code: | 20260130 |
| DOI: | 10.1097/01.NEP.0000000000001246 |
| PMID: | 38407340 |
| Database: | MEDLINE |
Journal Article