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Area of Science:

  • Healthcare Management
  • Human-Computer Interaction
  • Organizational Psychology

Background:

  • The integration of artificial intelligence (AI) in healthcare presents opportunities and challenges for healthcare professionals' work well-being.
  • Self-Determination Theory (SDT) provides a framework for understanding the psychological needs that underpin well-being.
  • Basic psychological needs include autonomy, competence, and relatedness.

Purpose of the Study:

  • To investigate the impact of AI use on healthcare professionals' work well-being.
  • To examine the mediating role of basic psychological needs satisfaction in the AI-well-being relationship.
  • To explore the moderating effect of job complexity on this relationship.

Main Methods:

  • Hierarchical regression and regression analyses were employed.
  • Data were collected from 280 healthcare professionals in Chinese hospitals.
  • The study assessed the relationships between AI use, psychological needs satisfaction, and work well-being.

Main Results:

  • AI use positively influences work well-being by enhancing satisfaction of autonomy, competence, and relatedness.
  • Job complexity moderates the relationship between AI use and well-being.
  • Job complexity weakens the AI-autonomy and AI-competence links, but not the AI-relatedness link.

Conclusions:

  • The impact of AI on healthcare professionals' well-being is contingent on job complexity.
  • Effective AI integration requires adapting technology to meet evolving psychological needs.
  • Findings offer theoretical insights and practical guidance for AI adoption in healthcare settings.