Salama Nisreen, Bsharat Rebhi, Alwawi Abdallah, Khlaif Zuheir N
Faculty of Nursing, Arab American University, Jenin, Palestine.
Nursing Collage, Ramallah, Palestine.
BMC Nurs. 2025 Mar 11;24(1):269. doi: 10.1186/s12912-025-02913-4.
AI can improve medical practice, address staff shortages, and enhance diagnostic efficiency. The ChatGPT of Open AI, launched in 2022, uses AI in medical education. However, the long-term impact is uncertain, and integration varies globally, particularly in the Middle East.
To explore the knowledge, practices, and attitudes of nursing students in Palestinian universities regarding AI, specifically the use of ChatGPT.
A cross-sectional design was used to conduct this study. The study was performed at 8 private and governmental universities in the West Bank, Palestine, from 1st May 2024 to 30 May 2024, and 304 nursing students participated.
The study revealed that 84.5% of nursing students at Palestinian universities were aware of AI technology, yet 69.9% lacked formal education or training related to ChatGPT. Despite this gap, 79% supported the integration of AI into nursing curricula and specialized training programs, reflecting strong optimism about its role in education and healthcare. While 58.6% had used AI in their coursework and 68.1% felt comfortable with technology, disparities in proficiency and access remain key barriers to effective AI integration. Major challenges to AI adoption in Palestine include insufficient training, the absence of AI-focused curricula, and financial constraints, underscoring the need for institutional and pedagogical reforms. Concerns about AI's reliability, costs, and potential diagnostic errors persist, emphasizing the complexities of its integration into nursing education and practice.
This study highlights the knowledge, attitudes, and practices of Palestinian nursing students regarding AI and ChatGPT. It reveals that, despite growing awareness, the lack of formal education on AI underscores the need for comprehensive curricula. While students' express optimism about AI's potential in healthcare, concerns about its reliability and integration persist. The study also reveals that barriers such as inadequate training, limited curricula, and financial constraints must be addressed to effectively integrate AI into nursing education and prepare students for its expanding role in healthcare.
人工智能可以改善医疗实践、解决人员短缺问题并提高诊断效率。2022年推出的OpenAI的ChatGPT将人工智能应用于医学教育。然而,其长期影响尚不确定,且在全球范围内的整合情况各不相同,尤其是在中东地区。
探讨巴勒斯坦大学护理专业学生对人工智能的了解、实践情况和态度,特别是对ChatGPT的使用。
本研究采用横断面设计。于2024年5月1日至2024年5月30日在巴勒斯坦约旦河西岸的8所私立和公立大学开展研究,共有304名护理专业学生参与。
研究表明,巴勒斯坦大学84.5%的护理专业学生了解人工智能技术,但69.9%的学生缺乏与ChatGPT相关的正规教育或培训。尽管存在这一差距,但79%的学生支持将人工智能纳入护理课程和专业培训项目,这反映出他们对人工智能在教育和医疗保健中的作用抱有强烈的乐观态度。虽然58.6%的学生在课程作业中使用过人工智能,68.1%的学生对该技术感到得心应手,但熟练程度和获取途径方面的差异仍是有效整合人工智能的关键障碍。在巴勒斯坦,采用人工智能的主要挑战包括培训不足、缺乏以人工智能为重点的课程以及资金限制,这凸显了进行机构和教学改革的必要性。对人工智能的可靠性、成本和潜在诊断错误的担忧依然存在,这强调了将其整合到护理教育和实践中的复杂性。
本研究突出了巴勒斯坦护理专业学生对人工智能和ChatGPT的了解、态度及实践情况。研究表明,尽管认知度不断提高,但缺乏人工智能正规教育凸显了开设综合课程的必要性。虽然学生们对人工智能在医疗保健中的潜力表示乐观,但对其可靠性和整合的担忧依然存在。研究还表明,必须解决培训不足、课程有限和资金限制等障碍,才能有效地将人工智能整合到护理教育中,并使学生为其在医疗保健中不断扩大的作用做好准备。