ISSN 2097-6054（网络） ISSN 1672-9234（印刷） CN 11-5289/R
主管：中国科学技术协会　主办：中华护理学会
出版：中华护理杂志社
收录：中国科学引文数据库（CSCD）来源期刊
　　　中国期刊全文数据库
　　　中国核心期刊（遴选）数据库
　　　Scopus
中华护理教育

中华护理教育 ›› 2026, Vol. 23 ›› Issue (2): 140-144.doi: 10.3761/j.issn.1672-9234.2026.02.002

• 专题策划——人工智能赋能护理教育 • 上一篇    下一篇

护理信息与人工智能本科课程的构建与教学实践

郭员志1,*(), 卫晓静2, 张秋实3, 王俊锋4, 韩二环5, 刘艳飞3, 张艳3   

  1. 1.河南省人民医院/郑州大学人民医院肿瘤内科 郑州市 450003
    2.河南省人民医院/郑州大学人民医院重症监护室 郑州市 450003
    3.郑州大学护理与健康学院 郑州市 450001
    4.河南省人民医院/郑州大学人民医院消毒供应中心 郑州市 450003
    5.河南省骨科医院护理部 郑州市 452300
  • 收稿日期:2025-07-06 出版日期:2026-02-15 发布日期:2026-02-11
  • 通讯作者: * 郭员志，女，博士，主管护师，E-mail：250238058@qq.com
  • 基金资助:
    中国信息协会教育分会“十四五”规划课题(ZXXJ20250047)

Development and implementation of an undergraduate course in Nursing Informatics and Artificial Intelligence

GUO Yuanzhi1,*(), WEI Xiaojing2, ZHANG Qiushi3, WANG Junfeng4, HAN Erhuan5, LIU Yanfei3, ZHANG Yan3   

  1. 1. Department of Medical Oncology，Henan Provincial People’s Hospital/People’s Hospital of Zhengzhou University，Zhengzhou 450003，China
    2. Intensive Care Unit，Henan Provincial People’s Hospital/People’s Hospital of Zhengzhou University，Zhengzhou 450003，China
    3. School of Nursing and Health Sciences，Zhengzhou University，Zhengzhou 450001，China
    4. Central Sterile Supply Departments，Henan Provincial People’s Hospital/People’s Hospital of Zhengzhou University，Zhengzhou 450003，China
    5. Nursing Department，Henan Orthopedic Hospital， Zhengzhou，452300，China
  • Received:2025-07-06 Online:2026-02-15 Published:2026-02-11
  • Contact: * GUO Yuanzhi，E-mail：250238058@qq.com
  • Supported by:
    The “14th Five-Year Plan” project of Education Branch of China Association of Information(ZXXJ20250047)

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摘要：

目的 探讨护理信息与人工智能本科课程的构建方法及教学实践效果。方法 在国家政策指导、文献检索、专家论证的基础上，采用德尔菲法对12名专家进行2轮函询，共形成课程目标13项，课程内容一级指标8项、二级指标33项；并经过公开竞聘组建多学科教学团队，通过焦点小组确定教学方法包括讲授法、讨论法、案例分析及网络资源推荐。于2024年9月—2025年2月在某高校进行应用，经教研室研究共设置20学时，共93名学生选修该课程，通过学生课程成绩、教学效果和满意度评价进行教学评估。结果 学生平均成绩为（93.58±2.60）分；学生汇报设计主题涉及居家失能老人智能养老、智能护理实训平台、线上科研平台、药品效期智能管理等；教学效果和满意度评价各条目均分>9分。结论 护理信息与人工智能本科课程构建过程科学可靠，内容前沿；学生积极性高，对课程教学效果及满意度评价高。跨学科师资团队、校企协同机制及高标准实践基地是课程顺利实施的核心保障。

关键词: 护理信息, 人工智能, 教育, 护理, 课程, 教学实践

Abstract:

Objective To explore the construction methods and evaluate teaching effects of an undergraduate courses in Nursing Informatics and Artificial Intelligence. Methods Guided by national policies and based on literature review and expert consultation，a two-round Delphi method was conducted with 12 experts，resulting in 13 course objectives，8 first-level indicators，and 33 second-level indicators for course content. A multidisciplinary teaching team was established through an open selection process，and focus group discussions were used to determine the teaching methods，including lectures，discussions，case analyses，and online resource recommendations. The 20-hour course was implemented at a university from September 2024 to February 2025 with 93 enrolled students. Teaching evaluation was conducted through the assessment of students’ course performance，teaching effectiveness，and satisfaction. Results The students’ average score was 93.58 ± 2.60. The design topics reported by the students involved intelligent eldercare for home-bound older adults，intelligent nursing training platforms，online research platforms，and intelligent management of drug expiration. The scores for all items in the teaching effectiveness and satisfaction evaluations were above 9 points. Conclusion The construction process of the undergraduate course in Nursing Informatics and Artificial Intelligence was scientifically sound and reliable，with advanced content. Students demonstrated high engagement and provided positive evaluations of the teaching effectiveness and their satisfaction. The successful implementation relied on key enablers：an interdisciplinary teaching team，a university-enterprise collaboration mechanism，and high-standard practical training facilities.

Key words: Nursing Informatics, Artificial Intelligence, Education, Nursing, Curriculum, Teaching Practice