Analysis on current status and influencing factors of ethical sensitivity among clinical nursing interns in the context of artificial intelligence
10.12026/j.issn.1001-8565.2026.08.18
- VernacularTitle:人工智能背景下临床实习护生伦理敏感性现状及影响因素分析
- Author:
Yue LIN
1
;
Jing WANG
2
;
Kun LI
3
;
Wen WANG
1
;
Lei YANG
2
;
Yang LI
1
;
Mei HUANG
1
;
Chunping NI
1
Author Information
1. School of Nursing Air Force Medical University， Xi’an 710032， China
2. Department of Nursing， Xi’an Jiaotong University Health Science Center， Xi’an 710049， China
3. Department of Nursing， the First Affiliated Hospital， Zhejiang University School of Medicine， Hangzhou 310003， China
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
nursing intern;
ethical sensitivity
- From:
Chinese Medical Ethics
2026;39(8):1121-1128
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo investigate the current status of ethical sensitivity among clinical nursing interns in the context of artificial intelligence （AI） and analyze its influencing factors. MethodsAdopting mixed research methods and convenience sampling， a total of 237 nursing interns from a tertiary A hospital in Xi’an were selected as research subjects. Data were collected using a general information questionnaire and the Nursing Students’ Ethical Sensitivity Scale， and semi-structured interviews were conducted with 8 nursing interns. ResultsThe total score of ethical sensitivity among nursing interns was （33.98±6.32）， which was at a moderate level. Multiple linear regression analysis revealed that academic degree （undergraduate： β=0.147， P<0.05； postgraduate： β=0.139， P<0.05）， affinity for the nursing profession （β=0.118， P<0.05）， whether they had taken nursing ethics courses （β=-0.124， P<0.05）， and familiarity with artificial intelligence （β=-0.159，P<0.05） were influencing factors of ethical sensitivity among nursing interns. Four themes were extracted from semi-structured interviews， namely， the incomplete mastery of nursing ethics-related knowledge among nursing interns， weakened ethical sensitivity in the AI teaching scenario of nursing interns， insufficient professional identity affecting the development of nursing interns’ ethical sensitivity， and technological dependence leading to the lack of humanistic care among nursing interns. ConclusionEthical sensitivity of nursing interns represents a moderate level， primarily influenced by educational background， degree of fondness for the nursing profession， learning experience of nursing ethics courses， and familiarity with AI. Nursing educators and clinical administrators urgently need to establish a sustainable school-hospital collaborative model of nursing ethics education， attach importance to the cultivation of ethical awareness and value guidance for nursing interns， and strengthen the intensity and depth of nursing ethics education among nursing interns， thereby improving their level of ethical sensitivity in the context of AI.
