Abstract

Artificial intelligence (AI) is profoundly reshaping organizational training, offering strategic opportunities, particularly in healthcare, where continuous professional development is crucial to ensure service quality and effectiveness. This study examines the role and functions of AI in training and professional growth, with a specific focus on the healthcare sector, through a qualitative methodology based on selected case studies (techniques: semi-structured interviews, data archival analysis, and direct observations). The research investigates how the integration of AI into training processes can enhance the effectiveness of interventions, personalize learning path-ways according to individual needs, support more informed decision-making, and foster continuous and adaptive learning. Several applications are considered, including intelligent systems for performance evaluation, adaptive learning platforms, training chatbots, and AI-based simulators for complex clinical scenarios. The findings highlight both the tangible benefits and the challenges associated with AI adoption, such as ethical concerns, the demand for digital skills, and resistance to change. Overall, the study provides a critical reflection on the transformative potential of AI in healthcare training, emphasizing the need for rapid, effective, and sustainable implementation. By doing so, it underscores the capacity of AI to enhance human capital while promoting long-term organizational development.

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