人工智能大环境下基础护理学教学改革设想-国际护理学研究-CSCIED科技核心评价数据库-手机版

人工智能大环境下基础护理学教学改革设想

Teaching Reform Ideas for Fundamental Nursing Science in the Context of Artificial Intelligence

ES评分 0 浏览量：448 下载量：0

DOI	10.12208/j.ijnr.20250340
刊名	国际护理学研究 International Journal of Nursing Research
年，卷(期)	2025, 7(7)
作者	杨光*,李莹,朱宏梅,
作者单位	1 江汉大学医学部湖北省医学实验教学示范中心湖北武汉; 2 江汉大学医学部护理学院湖北武汉
摘要	目的：探讨人工智能(AI)发展对护理教育的影响，提出适应智能化医疗环境的基础护理学教学改革方案。方法：分析AI技术为护理实践与教育带来的机遇与挑战，从教学目标、课程内容、教学方法、评价体系及师资建设五个方面，系统构建基础护理学教学改革路径。结果：提出重构教学目标（强化AI素养与数据决策能力）、整合AI工具更新课程内容与方法（融入AI模块、应用VR/AR、自适应学习平台等）、构建智能化评价体系、推动教师角色转型的具体措施。结论：系统性教学改革有助于培养兼具专业技能、AI应用能力与人文关怀的复合型护理人才，满足智慧医疗发展需求。
Abstract	Objective: To explore the impact of artificial intelligence (AI) development on nursing education and propose a teaching reform plan for Fundamental Nursing Science adapted to the intelligent healthcare environment.Methods: Analyze the opportunities and challenges brought by AI technology to nursing practice and education. Systematically construct a reform path for Fundamental Nursing Science teaching from five aspects: teaching objectives, curriculum content, teaching methods, evaluation system, and faculty development.Results: Specific measures were proposed, including: restructuring teaching objectives (strengthening AI literacy and data-driven decision-making capabilities); integrating AI tools to update curriculum content and methods (incorporating AI modules, applying VR/AR, adaptive learning platforms, etc.); constructing an intelligent evaluation system; and promoting the transformation of teachers roles.Conclusion: Systematic teaching reform helps cultivate versatile nursing talents possessing professional skills, AI application capabilities, and humanistic care, thereby meeting the development needs of smart healthcare.
关键词	人工智能；护理教育；教学改革；基础护理学；信息素养
KeyWord	Artificial Intelligence; Nursing Education; Teaching Reform; Fundamental Nursing Science; Information Literacy
基金项目
页码	4-7

参考文献
相关文献

[1] Robert N. How artificial intelligence is changing nursing
[J]. Nursing Management, 2019,50(9):30-39.
[2] Ronquillo CE, Peltonen LM, Pruinelli L, Chu CH, Bakken S, Beduschi A, Cato K, Hardiker N, Junger A, Michalowski M, Nyrup R, Rahimi S, Reed DN, Salakoski T, Salanterä S, Walton N, Weber P, Wiegand T, Topaz M. Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative
[J]. J Adv Nurs, 2021, 77(9):3707-3717.
[3] 教育部高等学校护理学专业教学指导委员会. 护理学类专业教学质量国家标准(解读). 北京: 高等教育出版社, 2020.
[4] Booth RG, et al. How the nursing profession should adapt for a digital future
[J]. BMJ, 2021,373:n1190.
[5] McGarry BJ, Blankenhorn M. Preparing nurses for roles in artificial intelligence: Ethical considerations
[J]. Nursing Ethics, 2022,29(6):1372-1381.
[6] 李小寒, 尚少梅. 基础护理学. 第6版. 北京:人民卫生出版社, 2021.
[7] Topaz M, Pruinelli L. Big data and nursing: Implications for the future
[J]. Stud Health Technol Inform, 2017,232:165–171.
[8] Lee J, et al. Efficacy of virtual reality simulation in nursing education: Meta-analysis
[J]. J Med Internet Res, 2023,25: e41589.
[9] Sheikh A, Anderson M, Albala S, Casadei B, Franklin BD, Richards M, Taylor D, Tibble H, Mossialos E. Health information technology and digital innovation for national learning health and care systems
[J]. Lancet Digit Health, 2021, 3(6):e383-e396.
[10] Buchanan C, Howitt ML, Wilson R, Booth RG, Risling T, Bamford M. Predicted Influences of Artificial Intelligence on Nursing Education: Scoping Review
[J]. JMIR Nurs., 2021, 28;4(1):e23933.
[11] 张某某, 李某某. 智能技术在护理教学评价中的应用进展. 中华护理教育, 2022,19(5):478-482.
[12] World Health Organization (WHO). Guidance on ethics and governance of artificial intelligence for health. Geneva: WHO, 2021.
[13] 国家卫生健康委员会. 人工智能在医疗健康领域应用伦理指南(试行). 2025.

引用本文

杨光*,李莹,朱宏梅. 人工智能大环境下基础护理学教学改革设想 [J]. 国际护理学研究. 2025; 7; (7). 4 - 7.

文献评论

相关学者

相关机构