主管:国家卫生健康委员会
主办:国家卫生健康委医院管理研究所
中国科技核心期刊(中国科技论文统计源期刊)
中国科学引文数据库(CSCD)核心库期刊
《中文核心期刊要目总览》核心期刊

中国护理管理 ›› 2026, Vol. 26 ›› Issue (6): 830-835.doi: 10.3969/j.issn.1672-1756.2026.06.006

• 论著 • 上一篇    下一篇

护士对人工智能应用的接受度现状及影响因素分析

卢家乐 梁大炼 魏丽君 申铁梅 李海艳 李海燕   

  1. 南方医科大学附属广东省人民医院(广东省医学科学院)重症医学科,510080 广州市(卢家乐,梁大炼,李海艳);护理部(魏丽君,申铁梅);心脏大血管外科(李海燕)
  • 出版日期:2026-06-15 发布日期:2026-06-15
  • 通讯作者: 梁大炼,本科,主管护师,E-mail:121126297@qq.com
  • 作者简介:卢家乐,本科,主管护师
  • 基金资助:
    广东省岭南南丁格尔护理研究院、广东省护理学会护理创新发展立项课题(YJYZ202310)

Status quo and influencing factors of Artificial Intelligence acceptance among clinical nurses

LU Jiale, LIANG Dalian, WEI Lijun, SHEN Tiemei, LI Haiyan, LI Haiyan   

  1. Intensive Care Unit, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou, 510080, China
  • Online:2026-06-15 Published:2026-06-15
  • Contact: E-mail:121126297@qq.com

摘要: 目的:基于计划行为理论和技术接受模型,调查护士对人工智能应用接受度现状并分析其影响因素,为提升护士对人工智能采纳意愿和促进人工智能临床应用提供依据。方法:采用便利抽样法,于2024年5月— 12月对广东省21家医院的在职护士进行问卷调查,调查工具为一般资料调查表与护士对人工智能应用接受度问卷。采用多元线性回归分析护士对人工智能应用接受度现状的影响因素。结果:回收有效问卷563份,护士对人工智能应用接受度得分为(122.68±25.53)分。护士的性别、学历、层级、电子护理记录系统使用经验及医院互联互通测评等级为主要影响因素(P<0.05)。这些因素共解释了接受度总变异的24.0%。结论:护士对人工智能应用接受度总体处于中等水平,可通过培训、减轻顾虑等方式改善护士的操作体验,以促进人工智能在临床护理场景中的应用。

关键词: 人工智能;护士;技术接受模型;计划行为理论;接受度

Abstract: Objective: Based on the Theory of Planned Behavior and the Technology Acceptance Model, this study aims to investigate the current status of nurses' acceptance of Artificial Intelligence (AI) applications and analyze the influencing factors, thereby providing a basis for enhancing nurses' willingness to adopt AI and promoting its clinical application. Methods: A convenience sampling method was employed to conduct a questionnaire survey among 563 in-service nurses from 21 hospitals in Guangdong province from May to December 2024. The survey instruments included a demographic questionnaire and the Nurse AI Application Acceptance Questionnaire. Multiple linear regression analysis was performed to identify the factors influencing nurses' acceptance of AI. Results: A total of 563 valid questionnaires were collected. The average score for nurses' acceptance of AI application was 122.68±25.53. Besides, multiple linear regression analysis revealed that nurses' gender, educational background, professional rank, and prior experience with electronic nursing documentation systems and hospital's information connectivity level were significant influencing factors (P<0.05). And these factors collectively explained 24.0% of the total variance in acceptance. Conclusion: Clinical nurses' acceptance of AI is generally at a moderate level, indicating significant room for improvement. It is therefore recommended that to increase information connectivity and reduce concerns to facilitate the application of AI in clinical practice.

Key words: Artificial Intelligence; nurses; Technology Acceptance Model; Theory of Planned Behavior; acceptance

中图分类号:  R47;R197