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

Chinese Nursing Management ›› 2026, Vol. 26 ›› Issue (6): 830-835.doi: 10.3969/j.issn.1672-1756.2026.06.006

• Research Papers • Previous Articles     Next Articles

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

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

CLC Number: R47;R197