The evolving role of nursing informatics in the era of artificial intelligence

IF 3.8 3区 医学 Q1 NURSING
Abdulqadir J. Nashwan RN, MSc, PhD(c), JC A. Cabrega RN, MAN, Mutaz I. Othman RN, MSc, Mahmoud Abdelwahab Khedr RN, PhD, Yasmine M. Osman RN, MSc, PhD(c), Ayman Mohamed El-Ashry RN, MSc, PhD, Rami Naif RN, MSc, Ahmad A. Mousa RN, PhD
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Abstract

Aim

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.

Background

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.

Sources of evidence

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.

Discussion

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.

Implications for nursing practice and policy

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.

Conclusion

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.

护理信息学在人工智能时代的演变作用。
目的:本文探讨了人工智能(AI)与护理信息学的整合,并研究了其对护理实践、医疗服务、教育和政策的影响。背景:护理信息学是护理科学与信息管理、通信技术相结合的产物,是现代医疗保健的重要组成部分。人工智能的出现为改进诊断、治疗和医疗保健资源管理提供了机会。然而,将人工智能融入护理实践也带来了挑战,包括伦理问题和对专业培训的需求。证据来源:从2013年1月到2023年12月,使用PubMed、b谷歌Scholar和Scopus等数据库进行了全面的文献检索。文章的选择是基于它们与人工智能在护理信息学中的作用的相关性,特别是在提高患者护理和医疗效率方面。讨论: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,显著增强了护理实践。然而,它的采用引发了道德问题,比如数据隐私问题和人工智能算法中的偏见。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。对护理实践和政策的影响:政策制定者应促进医疗保健专业人员的人工智能素养计划,并制定道德准则来管理人工智能在医疗保健中的使用。这将确保负责任地使用人工智能工具,保护患者权利并改善医疗保健结果。结论:人工智能为护理信息学提供了有希望的进步,可以提高患者护理效率,改善决策。尽管如此,克服道德挑战和确保护士对人工智能的了解是成功实施的关键步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.90
自引率
7.30%
发文量
72
审稿时长
6-12 weeks
期刊介绍: International Nursing Review is a key resource for nurses world-wide. Articles are encouraged that reflect the ICN"s five key values: flexibility, inclusiveness, partnership, achievement and visionary leadership. Authors are encouraged to identify the relevance of local issues for the global community and to describe their work and to document their experience.
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