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Article: Effects of generative artificial intelligence (GenAI) patient simulation on perceived clinical competency among global nursing undergraduates: a cross-over randomised controlled trial

TitleEffects of generative artificial intelligence (GenAI) patient simulation on perceived clinical competency among global nursing undergraduates: a cross-over randomised controlled trial
Authors
Keywords360-degree virtual reality
Clinical competence
Clinical reasoning
Generative artificial intelligence
Medical language
Nursing education
Patient simulation
Randomised controlled trial
Issue Date17-Jul-2025
PublisherBioMed Central
Citation
BMC Nursing, 2025, v. 24, n. 1 How to Cite?
AbstractBackground: This study compared scenario-based generative artificial intelligence (GenAI) patient simulation with immersive 360° virtual reality (VR) simulation in terms of perceived clinical competence, cultural awareness, AI readiness, and simulation effectiveness among nursing students. Methods: This cross-over randomised controlled study design was conducted from June 2024 to August 2024. Forty-four undergraduate nursing students from years 1–3 were randomised to receive either GenAI patient simulation (Group B) or 360° VR simulation (Group A) with a one-week washout period. Five self-reported questionnaires were used to measure clinical competency: the Clinical Competence Questionnaire (CCQ), Cultural Awareness Scale (CAS), Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS), Simulation Effectiveness Tool – Modified Questionnaire (SET-M), and a demographic questionnaire. Results: Both interventions significantly improved clinical competence, cultural awareness, and AI readiness. When administered first, GenAI patient simulation demonstrated greater initial effects on clinical competence and AI readiness compared to the 360° VR simulation, though both groups achieved similar improvements by study completion. At T1, Group B (receiving GenAI) demonstrated significantly larger improvements in CCQ total score [47.68 (95% CI: 36.68, 58.68), p < 0.001] compared to Group A (receiving 360° VR) [24.95 (95% CI: 13.96, 35.95), p < 0.001], with significant between-group difference [16.59 (95% CI: 2.77, 30.41), p = 0.020]. At T2 (post-crossover), both groups maintained significant improvements. For MAIRS-MS (measured at baseline and following each group’s GenAI exposure), Group B showed improvement from baseline to T1 [30.18 (95% CI: 23.35, 37.01), p < 0.001] while Group A showed improvement from baseline to T2 [16.64 (95% CI: 9.80, 23.47), p < 0.001], with significant between-group difference [12.09 (95% CI: 4.43, 19.75), p = 0.003]. Both groups experienced changes in CAS scores, though between-group differences were not statistically significant. For SET-M, most participants (75%) felt debriefing contributed to their learning, and 68.2% reported increased confidence in nursing assessment skills. Conclusions: The findings provide preliminary evidence of its effectiveness in enhancing perceived clinical outcomes among nursing students. Both 360° VR simulation and GenAI patient simulation may serve as effective teaching tools; however, GenAI patient simulation appeared to demonstrate a greater initial effect on clinical competence and AI readiness, although both interventions proved effective across all measured domains. Clinical trial registration/number: Not applicable.
Persistent Identifierhttp://hdl.handle.net/10722/368287
ISSN
2023 Impact Factor: 3.1
2023 SCImago Journal Rankings: 0.894

 

DC FieldValueLanguage
dc.contributor.authorFung, Tai Chun John-
dc.contributor.authorChan, Siu Ling-
dc.contributor.authorLam, Choi Fung Mabel-
dc.contributor.authorLam, Chung Yan-
dc.contributor.authorCheng, Christopher Chi Wai-
dc.contributor.authorLai, Man Hin-
dc.contributor.authorHo, Cheuk Chun Joseph-
dc.contributor.authorAu, Siu Lun-
dc.contributor.authorMak, Lok Yi-
dc.contributor.authorHu, Sophia-
dc.contributor.authorPhetrasuwan, Supapak-
dc.contributor.authorGranger, Jumpee-
dc.contributor.authorYoon, Jung Min-
dc.contributor.authorMalik, Gulzar-
dc.contributor.authorCabrera Moreno, Clara-
dc.contributor.authorKwok, Man Hei Patrick-
dc.contributor.authorLin, Chia-Chin-
dc.date.accessioned2025-12-24T00:37:17Z-
dc.date.available2025-12-24T00:37:17Z-
dc.date.issued2025-07-17-
dc.identifier.citationBMC Nursing, 2025, v. 24, n. 1-
dc.identifier.issn1472-6955-
dc.identifier.urihttp://hdl.handle.net/10722/368287-
dc.description.abstractBackground: This study compared scenario-based generative artificial intelligence (GenAI) patient simulation with immersive 360° virtual reality (VR) simulation in terms of perceived clinical competence, cultural awareness, AI readiness, and simulation effectiveness among nursing students. Methods: This cross-over randomised controlled study design was conducted from June 2024 to August 2024. Forty-four undergraduate nursing students from years 1–3 were randomised to receive either GenAI patient simulation (Group B) or 360° VR simulation (Group A) with a one-week washout period. Five self-reported questionnaires were used to measure clinical competency: the Clinical Competence Questionnaire (CCQ), Cultural Awareness Scale (CAS), Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS), Simulation Effectiveness Tool – Modified Questionnaire (SET-M), and a demographic questionnaire. Results: Both interventions significantly improved clinical competence, cultural awareness, and AI readiness. When administered first, GenAI patient simulation demonstrated greater initial effects on clinical competence and AI readiness compared to the 360° VR simulation, though both groups achieved similar improvements by study completion. At T1, Group B (receiving GenAI) demonstrated significantly larger improvements in CCQ total score [47.68 (95% CI: 36.68, 58.68), p < 0.001] compared to Group A (receiving 360° VR) [24.95 (95% CI: 13.96, 35.95), p < 0.001], with significant between-group difference [16.59 (95% CI: 2.77, 30.41), p = 0.020]. At T2 (post-crossover), both groups maintained significant improvements. For MAIRS-MS (measured at baseline and following each group’s GenAI exposure), Group B showed improvement from baseline to T1 [30.18 (95% CI: 23.35, 37.01), p < 0.001] while Group A showed improvement from baseline to T2 [16.64 (95% CI: 9.80, 23.47), p < 0.001], with significant between-group difference [12.09 (95% CI: 4.43, 19.75), p = 0.003]. Both groups experienced changes in CAS scores, though between-group differences were not statistically significant. For SET-M, most participants (75%) felt debriefing contributed to their learning, and 68.2% reported increased confidence in nursing assessment skills. Conclusions: The findings provide preliminary evidence of its effectiveness in enhancing perceived clinical outcomes among nursing students. Both 360° VR simulation and GenAI patient simulation may serve as effective teaching tools; however, GenAI patient simulation appeared to demonstrate a greater initial effect on clinical competence and AI readiness, although both interventions proved effective across all measured domains. Clinical trial registration/number: Not applicable.-
dc.languageeng-
dc.publisherBioMed Central-
dc.relation.ispartofBMC Nursing-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject360-degree virtual reality-
dc.subjectClinical competence-
dc.subjectClinical reasoning-
dc.subjectGenerative artificial intelligence-
dc.subjectMedical language-
dc.subjectNursing education-
dc.subjectPatient simulation-
dc.subjectRandomised controlled trial-
dc.titleEffects of generative artificial intelligence (GenAI) patient simulation on perceived clinical competency among global nursing undergraduates: a cross-over randomised controlled trial-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1186/s12912-025-03492-0-
dc.identifier.scopuseid_2-s2.0-105010844758-
dc.identifier.volume24-
dc.identifier.issue1-
dc.identifier.eissn1472-6955-
dc.identifier.issnl1472-6955-

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