RETRACTED ARTICLE: The relationship between job competence, demographic characteristics and professional misconduct among medical staff in the AI era

Abstract

PURPOSE: 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. METHODS: the Questionnaire Star app, yielding 308 valid responses from physicians, nurses, and medical technicians. RESULTS: = 0.066). CONCLUSION: 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.

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