Women's Health Nursing (여성건강간호학회지)

Korean Society of Women Health Nursing (한국여성건강간호학회)
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Challenges for future directions for artificial intelligence integrated nursing simulation education

  • Sunyoung Jung (College of Nursing and Research Institute of Nursing Science, Daegu Catholic University)
  • Received : 2023.07.27
  • Accepted : 2023.09.06
  • Published : 2023.09.30
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Abstract

Artificial intelligence (AI) has tremendous potential to change the way we train future health professionals. Although AI can provide improved realism, engagement, and personalization in nursing simulations, it is also important to address any issues associated with the technology, teaching methods, and ethical considerations of AI. In nursing simulation education, AI does not replace the valuable role of nurse educators but can enhance the educational effectiveness of simulation by promoting interdisciplinary collaboration, faculty development, and learner self-direction. We should continue to explore, innovate, and adapt our teaching methods to provide nursing students with the best possible education.

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References

  1. Ouyang F, Zheng L, Jiao P. Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020. Educ Inf Technol. 2022;27(1):7893-7925. https://doi.org/10.1007/s10639-022-10925-9
  2. Bohr A, Memarzadeh K. Chapter 2. The rise of artificial intelligence in healthcare applications. In: Bohr A, Memarzadeh K, editors. Artificial intelligence in healthcare. London: Academic Press; 2020. p. 25-60 https://doi.org/10.1016/B978-0-12-818438-7.00002-2
  3. Kardong-Edgren S, Breitkreuz K, Werb M, Foreman S, Ellertson A. Evaluating the usability of a second-generation virtual reality game for refreshing sterile urinary catheterization skills. Nurse Educ. 2019;44(3):137-141. https://doi.org/10.1097/NNE.0000000000000570
  4. De Gagne JC. The state of artificial intelligence in nursing education: past, present, and future directions. Int J Environ Res Public Health. 2023;20(6):4884. https://doi.org/10.3390/ijerph20064884
  5. Foronda CL, Fernandez-Burgos M, Nadeau C, Kelley CN, Henry MN. Virtual simulation in nursing education: a systematic review spanning 1996 to 2018. Simul Healthc. 2020;15(1):46-54. https://doi.org/10.1097/SIH.0000000000000411
  6. Abuazizeh M, Kirste T, Yordanova K. Computational state space model for intelligent tutoring of students in nursing subjects. Conference paper of PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference; Corfu, Greece: 2020 Jun 30-Jul 3. New York; Association for Computing Machinery; 2020
  7. Andersen BL, Jorno RL, Nortvig AM. Blending adaptive learning technology into nursing education: a scoping review. Contemp Educ Technol. 2021;14(1):ep333. https://doi.org/10.30935/cedtech/11370
  8. Healthy Simulation.com. AI in simulation-Clinical intelligence at NCLEX standards [Internet]. Water Well LCC; 2023 [cited 2023 May 30]. Available form: https://www.healthysimulation.com/47628/simulation-ai-nclex-standards/
  9. Liaw SY, Tan JZ, Lim S, Zhou W, Yap J, Ratan R, et al. Artificial intelligence in virtual reality simulation for interprofessional communication training: mixed method study. Nurse Educ Today. 2023;122:105718. https://doi.org/10.1016/j.nedt.2023.105718
  10. Seibert K, Domhoff D, Bruch D, Schulte-Althoff M, Furstenau D, Biessmann F, et al. Application scenarios for artificial intelligence in nursing care: rapid review. J Med Internet Res. 2021;23(11):e26522. https://doi.org/10.2196/26522
  11. Watts PI, Rossler K, Bowler F, Miller C, Charnetski M, Decker S, et al. Onward and upward: Introducing the Healthcare Simulation Standards of Best PracticeTM. Clin Simul Nurs. 2021;58:1-4. https://doi.org/10.1016/j.ecns.2021.08.006
  12. Watts PI, McDermott DS, Alinier G, Charnetski M, Anderson J, Horsley E, et al. Healthcare Simulation Standards of Best PracticeTM simulation design. Clin Simul Nurs. 2021;58:14-21. https://doi.org/10.1016/j.ecns.2021.08.009
  13. McMahon E, Jumenez FA, Lawrence K, Victor J. Healthcare Simulation Standards of Best PracticeTM evaluation of learning and performance. Clin Simul Nurs. 2021;58:54-56. https://doi.org/10.1016/j.ecns.2021.08.016
  14. Decker S, Alinier G, Crawford SB, Gordon RM, Jenkins D, Wilson C. Healthcare Simulation Standards of Best PracticeTM the debriefing process. Clin Simul Nurs. 2021;58:27-32. https://doi.org/10.1016/j.ecns.2021.08.011
  15. Bowler F, Klein M, Wilford A. Healthcare Simulation Standards of Best PracticeTM professional integrity. Clin Simul Nurs. 2021;58:45-48. https://doi.org/10.1016/j.ecns.2021.08.014
  16. Lee SH. CHAT GPT generation. Seoul: Book Moment; 2023. p. 276-321.