自然语言处理技术在护理教育中的应用进展

doi:10.3761/j.issn.1672-9234.2026.11.018

Abstract

Abstract:

Natural language processing（NLP），as an important branch of artificial intelligence，integrates theories and methods from linguistics，computer science，and machine learning，and its application in nursing education has continued to deepen in recent years. With the accelerating informatization and intelligent transformation of nursing education，how to leverage artificial intelligence technologies to enhance teaching quality，optimize instructional processes，and promote the development of nursing students’ core competencies and job-related competencies has gradually become a key direction of nursing education reform. Focusing on two core technologies—information extraction and question answering systems—this paper systematically reviews the current applications of NLP in nursing education，analyzes their potential value in teaching resource integration，learning support，optimization of the teaching process，and competency assessment，and discusses the challenges related to standardization，interdisciplinary collaboration，and ethical and privacy concerns. The review aims to provide references for nursing educators to effectively apply NLP technologies in nursing education.

Key words: Artificial Intelligence, Natural Language Processing, Education, Nursing, Review

YUE Peng. Research progress on the application of natural language processing technology in nursing education[J].Chinese Journal of Nursing Education, 2026, 23(11): 1398-1403.

References 34

[1]	Bates M. Models of natural language understanding[J]. Proc Natl Acad Sci U S A, 1995, 92(22):9977-9982. doi: 10.1073/pnas.92.22.9977
[2]	张奇, 桂韬, 黄萱菁. 自然语言处理导论[M]. 北京: 电子工业出版社, 2023.
	Zhang Q, Gui T, Huang XJ. Introduction to natural language processing[M]. Beijing: Publishing House of Electronics Indu-stry, 2023.
[3]	吴立德. 大规模中文文本处理[M]. 上海: 复旦大学出版社, 1997.
	Wu LD. Large-scale Chinese text processing[M]. Shanghai: Fudan Press, 1997.
[4]	Sarawagi S. Information extraction[J]. Found Trends Databases, 2008, 1(3):261-377. doi: 10.1561/DBS
[5]	Jani KH, Jones KA, Jones GW, et al. Machine learning to ex-tract communication and history-taking skills in OSCE trans-cripts[J]. Med Educ, 2020, 54(12):1159-1170. doi: 10.1111/medu.v54.12
[6]	Trangenstein P, Weiner E, Gordon J, et al. Data mining results from an electronic clinical log for nurse practitioner students[J]. Stud Health Technol Inform, 2007, 129(Pt 2):1387-1391. pmid: 17911941
[7]	Scerri A, Morin KH. Using chatbots like ChatGPT to support nursing practice[J]. J Clin Nurs, 2023, 32(15/16):4211-4213. doi: 10.1111/jocn.v32.15-16
[8]	Denecke K, May R, Rivera Romero O. Potential of large language models in health care:Delphi study[J]. J Med Internet Res, 2024, 26:e52399.
[9]	Lane SH, Haley T, Brackney DE. Tool or tyrant:guiding and guarding generative artificial intelligence use in nursing edu-cation[J]. Creat Nurs, 2024, 30(2):125-132. doi: 10.1177/10784535241247094
[10]	Rony MKK, Parvin MR, Wahiduzzaman M, et al. “I wonder if my years of training and expertise will be devalued by machines”:concerns about the replacement of medical profes-sionals by artificial intelligence[J]. SAGE Open Nurs, 2024, 10:23779608241245220.
[11]	Seibert K, Domhoff D, Bruch D, et al. Application scenarios for artificial intelligence in nursing care:rapid review[J]. J Med Internet Res, 2021, 23(11):e26522. doi: 10.2196/26522
[12]	Abdelmohsen SA, Al-Jabri MM. Artificial intelligence applica-tions in healthcare:a systematic review of their impact on nursing practice and patient outcomes[J]. J Nurs Scholarsh, 2025, 57(6):957-966. doi: 10.1111/jnu.v57.6
[13]	Johnson AEW, Pollard TJ, Shen L, et al. MIMIC-III,a freely accessible critical care database[J]. Sci Data, 2016, 3:160035. doi: 10.1038/sdata.2016.35
[14]	Bekbolatova M, Mayer J, Ong CW, et al. Transformative poten-tial of AI in healthcare:definitions,applications,and navigat-ing the ethical landscape and public perspectives[J]. Health-care, 2024, 12(2):125.
[15]	Hirschman L, Gaizauskas R. Natural language question answer-ing:the view from here[J]. Nat Lang Eng, 2001, 7(4):275-300. doi: 10.1017/S1351324901002807
[16]	Shorey S, Ang E, Yap J, et al. A virtual counseling application using artificial intelligence for communication skills training in nursing education:development study[J]. J Med Internet Res, 2019, 21(10):e14658. doi: 10.2196/14658
[17]	Shorey S, Ang ENK, Ng ED, et al. Evaluation of a theory-based virtual counseling application in nursing education[J]. Comput Inform Nurs, 2023, 41(6):385-393. doi: 10.1097/CIN.0000000000000999 pmid: 36728150
[18]	Chengoden R, Victor N, Huynh-The T, et al. Metaverse for healthcare:a survey on potential applications,challenges and future directions[J]. IEEE Access, 2023, 11:12765-12795. doi: 10.1109/ACCESS.2023.3241628
[19]	Chang CY, Hwang GJ, Gau ML. Promoting students’ learning achievement and self-efficacy:a mobile chatbot approach for nursing training[J]. Br J Educ Technol, 2022, 53(1):171-188. doi: 10.1111/bjet.v53.1
[20]	Bland T. Enhancing medical student engagement through cine-matic clinical narratives:multimodal generative AI-based mixed methods study[J]. JMIR Med Educ, 2025, 11:e63865. doi: 10.2196/63865
[21]	Lee HY, Chen PH, Wang WS, et al. Empowering ChatGPT with guidance mechanism in blended learning:effect of self-regulated learning,higher-order thinking skills,and knowledge construction[J]. Int J Educ Technol High Educ, 2024, 21(1):16. doi: 10.1186/s41239-024-00447-4
[22]	Zhang JW, Oh YJ, Lange P, et al. Artificial intelligence chat-bot behavior change model for designing artificial intelligence chatbots to promote physical activity and a healthy diet:viewpoint[J]. J Med Internet Res, 2020, 22(9):e22845. doi: 10.2196/22845
[23]	Hooda M, Rana C, Dahiya O, et al. Artificial intelligence for assessment and feedback to enhance student success in higher education[J]. Math Probl Eng, 2022, 2022(1):5215722.
[24]	Kulikowski CA, Shortliffe EH, Currie LM, et al. AMIA Board white paper:definition of biomedical informatics and specifi-cation of core competencies for graduate education in the discipline[J]. J Am Med Inform Assoc, 2012, 19(6):931-938. doi: 10.1136/amiajnl-2012-001053 pmid: 22683918
[25]	Islam MS, Hasan MM, Wang XY, et al. A systematic review on healthcare analytics:application and theoretical perspective of data mining[J]. Healthcare, 2018, 6(2):54. doi: 10.3390/healthcare6020054
[26]	Dehghani M, Pourasad MH, Khezri H. Challenges in imple-menting artificial intelligence for nursing education:a syste-matic review[J]. Educ Res Med Sci, 2025, 14(1):e162371.
[27]	Wei QY, Pan SC, Liu XY, et al. The integration of AI in nursing:addressing current applications,challenges,and future directions[J]. Front Med, 2025, 12:1545420. doi: 10.3389/fmed.2025.1545420
[28]	Wardat Y, Tashtoush MA, AlAli R, et al. ChatGPT:a revolutio-nary tool for teaching and learning mathematics[J]. EURASIA J Math Sci Tech Ed, 2023, 19(7):em2286. doi: 10.29333/ejmste/13272
[29]	陆春吉, 李军莲, 郭进京, 等. 医疗人工智能与临床医学术语标准[J]. 医学信息学杂志, 2018, 39(5):8-11,24.
	Lu CJ, Li JL, Guo JJ, et al. Medical artificial intelligence and standard of clinical medicine terminology[J]. J Med Inform, 2018, 39(5):8-11,24.
[30]	Olla P, Wodwaski N, Long T. Beyond the bot:a dual-phase framework for evaluating AI chatbot simulations in nursing education[J]. Nurs Rep, 2025, 15(8):280. doi: 10.3390/nursrep15080280
[31]	Sallam M. ChatGPT utility in healthcare education,research,and practice:systematic review on the promising perspectives and valid concerns[J]. Healthcare, 2023, 11(6):887. doi: 10.3390/healthcare11060887
[32]	Zhou Y, Li SJ, Tang XY, et al. Using ChatGPT in nursing:scoping review of current opinions[J]. JMIR Med Educ, 2024, 10:e54297.
[33]	陈红, 喻婷, 许珂, 等. 人工智能在护理专业学生智慧教育中的应用与建议[J]. 中华护理教育, 2025, 22(4):409-415.
	Chen H, Yu T, Xu K, et al. Applications and recommendations of artificial intelligence in the smart education of nursing students[J]. Chin J Nurs Educ, 2025, 22(4):409-415.
[34]	Amankwaa I, Ekpor E, Cudjoe D, et al. Patterns,advances,and gaps in using ChatGPT and similar technologies in nursing education:a PAGER scoping review[J]. Nurse Educ Today, 2025, 153:106822. doi: 10.1016/j.nedt.2025.106822

Research progress on the application of natural language processing technology in nursing education

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