Nashwan Abdulqadir J, Cabrega Jc A, Othman Mutaz I, Khedr Mahmoud Abdelwahab, Osman Yasmine M, El-Ashry Ayman Mohamed, Naif Rami, Mousa Ahmad A
Assistant Executive Director of Nursing and Midwifery Research Nursing and Midwifery Research Department, Hamad Medical Corporation, Doha, Qatar.
Informatics Nurse, Nursing Informatics Department, Hamad Medical Corporation, Doha, Qatar.
Int Nurs Rev. 2025 Mar;72(1):e13084. doi: 10.1111/inr.13084.
This narrative review explores the integration of artificial intelligence (AI) into nursing informatics and examines its impact on nursing practice, healthcare delivery, education, and policy.
Nursing informatics, which merges nursing science with information management and communication technologies, is crucial in modern healthcare. The emergence of AI presents opportunities to improve diagnostics, treatment, and healthcare resource management. However, integrating AI into nursing practice also brings challenges, including ethical concerns and the need for specialized training.
A comprehensive literature search was conducted from January 2013 to December 2023 using databases like PubMed, Google Scholar, and Scopus. Articles were selected based on their relevance to AI's role in nursing informatics, particularly in enhancing patient care and healthcare efficiency.
AI significantly enhances nursing practice by improving diagnostic accuracy, optimizing care plans, and supporting resource allocation. However, its adoption raises ethical issues, such as data privacy concerns and biases within AI algorithms. Ensuring that nurses are adequately trained in AI technologies is essential for safe and effective integration.
Policymakers should promote AI literacy programs for healthcare professionals and develop ethical guidelines to govern the use of AI in healthcare. This will ensure that AI tools are implemented responsibly, protecting patient rights and enhancing healthcare outcomes.
AI offers promising advancements in nursing informatics, leading to more efficient patient care and improved decision-making. Nonetheless, overcoming ethical challenges and ensuring AI literacy among nurses are critical steps for successful implementation.
本叙述性综述探讨人工智能（AI）在护理信息学中的整合，并研究其对护理实践、医疗服务提供、教育和政策的影响。
护理信息学将护理科学与信息管理和通信技术相结合，在现代医疗保健中至关重要。人工智能的出现为改善诊断、治疗和医疗资源管理带来了机遇。然而，将人工智能整合到护理实践中也带来了挑战，包括伦理问题和对专业培训的需求。
2013年1月至2023年12月期间，使用PubMed、谷歌学术和Scopus等数据库进行了全面的文献检索。根据文章与人工智能在护理信息学中的作用的相关性进行选择，特别是在提高患者护理和医疗效率方面。
人工智能通过提高诊断准确性、优化护理计划和支持资源分配，显著提升了护理实践。然而，其应用引发了伦理问题，如数据隐私担忧和人工智能算法中的偏差。确保护士在人工智能技术方面得到充分培训对于安全有效地整合至关重要。
政策制定者应推动针对医疗保健专业人员的人工智能素养计划，并制定伦理准则来规范人工智能在医疗保健中的使用。这将确保人工智能工具得到负责任的实施，保护患者权利并改善医疗结果。
人工智能在护理信息学中提供了有前景的进展，可实现更高效的患者护理和更好的决策。尽管如此，克服伦理挑战并确保护士具备人工智能素养是成功实施的关键步骤。
