Abstract：
OBJECTIVE: This paper explores how healthcare administration students perceive the integration of Artificial Intelligence (AI) in healthcare leadership, mainly focusing on the sustainability aspects involved. It aims to identify gaps in current educational curricula and suggests enhancements to better prepare future healthcare professionals for the evolving demands of AI-driven healthcare environments.
METHODS: This study utilized a cross-sectional survey design to understand healthcare administration students\' perceptions regarding integrating AI in healthcare leadership. An online questionnaire, developed from an extensive literature review covering fundamental AI knowledge and its role in sustainable leadership, was distributed to students majoring and minoring in healthcare administration. This methodological approach garnered participation from 62 students, providing insights and perspectives crucial for the study\'s objectives.
RESULTS: The research revealed that while a significant majority of healthcare administration students (70%) recognize the potential of AI in fostering sustainable leadership in healthcare, only 30% feel adequately prepared to work in AI-integrated environments. Additionally, students were interested in learning more about AI applications in healthcare and the role of AI in sustainable leadership, underscoring the need for comprehensive AI-focused education in their curriculum.
CONCLUSIONS: The research is limited by its focus on a single academic institution, which may not fully represent the diversity of perspectives in healthcare administration.
CONCLUSIONS: This study highlights the need for healthcare administration curricula to incorporate AI education, aligning theoretical knowledge with practical applications, to effectively prepare future professionals for the evolving demands of AI-integrated healthcare environments.
CONCLUSIONS: This research paper presents insights into healthcare administration students\' readiness and perspectives toward AI integration in healthcare leadership, filling a critical gap in understanding the educational needs in the evolving landscape of AI-driven healthcare.
METHODS: This study utilized a cross-sectional survey design to understand healthcare administration students\' perceptions regarding integrating AI in healthcare leadership. An online questionnaire, developed from an extensive literature review covering fundamental AI knowledge and its role in sustainable leadership, was distributed to students majoring and minoring in healthcare administration. This methodological approach garnered participation from 62 students, providing insights and perspectives crucial for the study\'s objectives.
RESULTS: The research revealed that while a significant majority of healthcare administration students (70%) recognize the potential of AI in fostering sustainable leadership in healthcare, only 30% feel adequately prepared to work in AI-integrated environments. Additionally, students were interested in learning more about AI applications in healthcare and the role of AI in sustainable leadership, underscoring the need for comprehensive AI-focused education in their curriculum.
CONCLUSIONS: The research is limited by its focus on a single academic institution, which may not fully represent the diversity of perspectives in healthcare administration.
CONCLUSIONS: This study highlights the need for healthcare administration curricula to incorporate AI education, aligning theoretical knowledge with practical applications, to effectively prepare future professionals for the evolving demands of AI-integrated healthcare environments.
CONCLUSIONS: This research paper presents insights into healthcare administration students\' readiness and perspectives toward AI integration in healthcare leadership, filling a critical gap in understanding the educational needs in the evolving landscape of AI-driven healthcare.
摘要：
目标：本文探讨了医疗保健管理学生如何看待人工智能（AI）在医疗保健领导中的整合，主要关注所涉及的可持续性方面。它旨在确定当前教育课程中的差距，并提出改进措施，以更好地为未来的医疗保健专业人员做好准备，以适应人工智能驱动的医疗保健环境不断变化的需求。
方法：本研究利用横断面调查设计来了解医疗保健管理学生对将AI整合到医疗保健领导力中的看法。一份网上调查问卷,从广泛的文献综述中发展而来，涵盖了基本的人工智能知识及其在可持续领导力中的作用，分发给医疗保健管理专业和辅修的学生。这种方法论方法吸引了62名学生的参与，提供对研究目标至关重要的见解和观点。
结果：研究表明，尽管绝大多数医疗保健管理学生（70％）认识到AI在培养医疗保健可持续领导力方面的潜力，只有30%的人觉得在人工智能集成的环境中工作已经做好了充分的准备。此外,学生们有兴趣更多地了解人工智能在医疗保健中的应用以及人工智能在可持续领导力中的作用，强调在他们的课程中需要全面的以人工智能为重点的教育。
结论：这项研究受到关注于单一学术机构的限制，这可能不能完全代表医疗保健管理观点的多样性。
结论：这项研究强调了医疗保健管理课程纳入人工智能教育的必要性，将理论知识与实际应用相结合，有效地为未来的专业人员做好准备，以适应人工智能集成医疗环境不断变化的需求。
结论：本研究论文提供了对医疗保健管理专业学生的见解，以及对AI整合在医疗保健领导中的观点。填补了理解AI驱动的医疗保健不断发展的教育需求方面的关键空白。
方法：本研究利用横断面调查设计来了解医疗保健管理学生对将AI整合到医疗保健领导力中的看法。一份网上调查问卷,从广泛的文献综述中发展而来，涵盖了基本的人工智能知识及其在可持续领导力中的作用，分发给医疗保健管理专业和辅修的学生。这种方法论方法吸引了62名学生的参与，提供对研究目标至关重要的见解和观点。
结果：研究表明，尽管绝大多数医疗保健管理学生（70％）认识到AI在培养医疗保健可持续领导力方面的潜力，只有30%的人觉得在人工智能集成的环境中工作已经做好了充分的准备。此外,学生们有兴趣更多地了解人工智能在医疗保健中的应用以及人工智能在可持续领导力中的作用，强调在他们的课程中需要全面的以人工智能为重点的教育。
结论：这项研究受到关注于单一学术机构的限制，这可能不能完全代表医疗保健管理观点的多样性。
结论：这项研究强调了医疗保健管理课程纳入人工智能教育的必要性，将理论知识与实际应用相结合，有效地为未来的专业人员做好准备，以适应人工智能集成医疗环境不断变化的需求。
结论：本研究论文提供了对医疗保健管理专业学生的见解，以及对AI整合在医疗保健领导中的观点。填补了理解AI驱动的医疗保健不断发展的教育需求方面的关键空白。
