Integrating AI into global fluid healthcare workforces: student perspectives and future trends

Purpose This study investigates healthcare administration students’ perspectives on integrating artificial intelligence (AI) in fluid healthcare work environments, focusing on its potential impact on future healthcare practices. Design/methodology/approach The research utilizes a mixed-methods strategy, combining quantitative surveys and qualitative interviews to collect data from healthcare administration students at a mid-sized urban university. This comprehensive approach allows for an in-depth analysis of students’ understanding of, attitudes toward and expectations of AI in healthcare settings. Findings Results reveal that students have a nuanced understanding of AI’s capabilities to enhance healthcare operations and patient care, showcasing readiness to adopt these technologies. Nonetheless, there are significant concerns about job security and the depersonalization of care with the integration of AI. The study highlights the critical need for healthcare curricula to evolve to incorporate AI training that equips future professionals to use these technologies in increasingly flexible work settings. Originality/value This research offers new perspectives on how future healthcare professionals view AI integration within evolving work arrangements. It emphasized the need for educational institutions to update and adapt educational frameworks to prepare a workforce that can effectively navigate the challenges and opportunities presented by AI in the healthcare sector. This is particularly relevant in fluid work dynamics, where adaptability and responsiveness are key.