Keywords
Acute and critical care nursing
Nursing teaching
Virtual simulation
Large language model
Personalized learning
Submitted : 2025-12-16
Accepted : 2025-12-31
Published : 2026-01-15
Abstract
Driven by social needs, national policies, and digital innovation, the traditional teaching model of acute and critical care nursing can no longer meet the demand for high-quality acute and critical care nursing talents in modern medical care. Artificial intelligence (AI) technology provides effective innovative solutions for acute and critical care nursing teaching through capabilities such as virtual simulation, big data technology, and natural language processing. This paper systematically sorts out the application scenarios of AI in acute and critical care nursing teaching, analyzes the current challenges such as technical costs, teachers’ literacy, and ethical risks in application, and looks forward to the future development direction from the dimensions of technological integration, policy support, and talent training, aiming to provide useful references for the reform of acute and critical care nursing teaching.
References
Gu C, Ma G, Xiao T, et al., 2024, Application Research of Scenario Simulation Based on Clinical Cases in Emergency Triage Teaching of Acute and Critical Care Nursing for Undergraduate Nursing Students. Medical Teaching Research in Colleges and Universities (Electronic Edition), 14(06): 3–7.
Xu W, Zhou X, 2024, Application Exploration of ChatGPT-like Large Language Models in Nursing Course Assessment: Based on Tests of ChatGPT, Wenxin Yiyan and Xunfei Spark. China Medical Education Technology, 38(05): 567–571.
Wu Z, Liu Z, Zhang Z, 2024, Current Situation and Future Governance Research of Artificial Intelligence in Medical Education. Chinese Medical Ethics, 37(09): 1093–1100.
Zhang M, Liang L, 2024, Current Situation and Prospect of ChatGPT in Nursing Field. Contemporary Nurse (First Half), 31(09): 36–39.
Qian M, Zhang D, Tang Y, et al., 2024, Effect Evaluation of “V-ONE” Blended Teaching Based on Virtual Simulation Technology in Acute and Critical Care Nursing Skills Learning. Chinese Journal of Emergency Resuscitation and Disaster Medicine, 19(08): 1077–1082.
Yang G, Sun S, Zhang Z, et al., 2024, Application of Virtual Simulation Combined with Social Practice Tasks in Practical Teaching of Acute and Critical Care Nursing. Health Vocational Education, 42(17): 85–87.
Zhou X, Che L, Chen X, 2024, Metaverse of Immersive Nursing Teaching: Experience, Narrative and Empathy. China Medical Education Technology, 38(04): 452–456.
Zhang J, Li C, Lü W, 2024, Application Prospect and Challenges of Artificial Intelligence in Medical Education, Scientific Research and Clinical Practice. Chinese Journal of General Practice, 22(07): 1085–1089.
Mu L, Xu W, Wang X, 2024, Empirical Discussion and Prospect of the Application of ChatGPT-like Large Language Models in Nursing Education. Health Vocational Education, 42(20): 4–7.
Deng W, 2024, Construction and Practice of the “Theory–Practice Dual-Drive and Three-Class Linkage” Teaching Innovation System for Acute and Critical Care Nursing. Journal of Nursing, 31(10): 21–25.
Liu C, Zhang Q, Xu L, 2024, Application of Virtual Simulation Teaching Platform in Practical Training of Acute and Critical Care Nursing. China Higher Medical Education, 2024(05): 129–131.
Li Y, Tian X, 2024, Application and Practice of the “Theory + Virtual + Practice + Training” Teaching Model in Acute and Critical Care Nursing Teaching. Chinese Journal of Disaster Medicine, 11(04): 475–478.
Wang J, Tao S, Cui S, 2024, Research Progress on the Application of Artificial Intelligence in the Field of Nursing Teaching. China Computer & Communication, 36(08): 65–67.
Lei Y, 2023, Construction of Medical Metaverse Ecological Scenarios Under the Background of Smart Healthcare. Health Economics Research, 40(07): 58–62.
Feng J, Wang M, Zheng P, et al., 2023, Application of Case-Based Artificial Intelligence-Simulation Teaching in Acute and Critical Care Teaching and Training. China Higher Medical Education, 2023(05): 52–53.