Hospital management faces generational tensions between traditional leaders (Baby Boomers, Generation X) favoring mechanistic structures and younger leaders (Millennials, Generation Z) embracing organic, technology-driven approaches, complicated by the rapid integration of artificial intelligence (AI). This article proposes a conceptual framework to harmonize these dynamics, fostering inclusive leadership in the AI era. Through a narrative literature review, it examines generational differences, AI’s role in healthcare management, and leadership strategies. Findings suggest that a hybrid leadership model, integrating AI-enabled decision support systems and cross-generational synergy, can enhance operational efficiency and patient outcomes, particularly in public hospitals. AI tools, such as predictive analytics, optimize budget management, while mentorship programs bridge experiential and technological expertise. The model balances mechanistic stability with organic innovation, leveraging transformational leadership to mitigate resistance to AI adoption. This study contributes to healthcare management literature by addressing the underexplored intersection of generational dynamics and AI, offering practical strategies like tailored AI training and cross-generational task forces. Future research should empirically test the model in diverse healthcare settings, exploring cultural influences on AI adoption. These insights provide a roadmap for adaptive, inclusive hospital governance, aligning with global trends in technology-driven healthcare.
Ufuk Burak Karcıoğlu (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: