Integration of Artificial Intelligence in Nursing Simulation Education: A Scoping Review.

Journal: Nurse educator
Published Date:

Abstract

BACKGROUND: Artificial intelligence (AI) integration in nursing simulation education is growing, yet understanding its implementation across simulation phases remains limited.

Authors

  • Maggie Mee Kie Chan
    Author Affiliations: School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China (Drs Maggie Mee Kie Chan, Engle Angela Chan, and Yorke); School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Mr Wan, Dr Choi, and Ms Wang); Centre for Quality and Patient Safety Research/ Alfred Health Partnership, Institute for Health Transformation, Deakin University, Melbourne, Australia (Dr Cheung); and School of Nursing and Midwifery, Faculty of Health, Deakin University, Burwood, Melbourne, VIC, Australia (Dr Cheung).
  • Abraham Wai Him Wan
  • Daphne Sze Ki Cheung
  • Edmond Pui Hang Choi
    School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong. Electronic address: h0714919@connect.hku.hk.
  • Engle Angela Chan
  • Janelle Yorke
    Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, United Kingdom; The Christie NHS Foundation Trust, Wilmslow Rd, Manchester, M20 4BX, United Kingdom. Electronic address: Janelle.Yorke@nhs.net.
  • Lizhen Wang
    School of Biological Science and Medical Engineering, Beihang University, Xueyuan Road No. 37, Haidian District, Beijing 100191, China.