To explore the relationship between job competence, demographic characteristics, and professional misconduct among healthcare workers in the era of artificial intelligence (AI), and to provide scientific evidence for healthcare management departments to formulate relevant policies. A cross-sectional survey was conducted from May to June 2024 in five hospitals in Xinxiang City, China. The job competency and professional misconduct questionnaires were administered via the Questionnaire Star app, yielding 308 valid responses from physicians, nurses, and medical technicians. Univariate analysis revealed significant differences in professional misconduct scores by gender (p = 0.001) and hospital level (p = 0.046). Pearson correlation analysis showed that males (r = -0.248, p < 0.01) and higher competency levels (r = -0.164, p < 0.01) were associated with reduced professional misconduct, while respondents working in higher-level hospitals (r = 0.121, p < 0.05) had a higher incidence of professional misconduct. Regression analysis confirmed that gender (β = -0.241, p < 0.001) and professional competence (β = -0.171, p = 0.002) were the primary influencing factors, while hospital level had a smaller impact (β = 0.101, p = 0.066). In the era of AI, professional misconduct among healthcare workers is primarily influenced by gender, hospital level, and professional competence. It is recommended to control the occurrence of professional misconduct through measures such as implementing gender equality policies, providing tiered financial support, establishing a professional competence management system related to AI, and promoting self-assessment.
Wang et al. (Sat,) studied this question.