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赋能护士——医疗环境中人工智能工具实用指南:讨论文件

Empowering nurses - a practical guide to artificial intelligence tools in healthcare settings: discussion paper.

作者信息

Irwin Pauletta, Rehman Sabih-Ur, Fealy Shanna, Kornhaber Rachel, Matheson Annabel, Cleary Michelle

机构信息

School of Nursing, Paramedicine and Healthcare Sciences, Charles Sturt University, Port Macquarie, NSW, Australia.

School of Computing, Mathematics and Engineering, Charles Sturt University, Port Macquarie, NSW, Australia.

出版信息

Contemp Nurse. 2025 Apr;61(2):203-213. doi: 10.1080/10376178.2025.2459701. Epub 2025 Feb 3.

Abstract

BACKGROUND

The rapid growth of artificial intelligence in healthcare is transforming how nurses deliver care and make clinical decisions. From supporting diagnostics to providing virtual health assistants, artificial intelligence offers new ways to enhance patient outcomes and streamline healthcare processes. However, these advancements also bring challenges, particularly around ethics, potential biases, and ensuring technology complements rather than replaces human expertise.

METHODS

A discussion paper designed to break down key artificial intelligence terms and demonstrate real-world applications to guide nurses to develop the skills needed to navigate this evolving technological landscape.

FINDINGS

This discussion emphasises the importance of maintaining the critical role of human clinical judgment, highlighting that artificial intelligence should support nurses' expertise rather than diminish it. The need for continuous education to keep nurses equipped with the knowledge to effectively integrate artificial intelligence into their practice is argued. With an inclusive approach, artificial intelligence has the potential to become a powerful tool that supports nurses in improving patient care while preserving the essential human touch in healthcare.

摘要

背景

人工智能在医疗保健领域的迅速发展正在改变护士提供护理和做出临床决策的方式。从辅助诊断到提供虚拟健康助手,人工智能提供了改善患者治疗效果和简化医疗流程的新方法。然而,这些进步也带来了挑战,特别是在伦理、潜在偏见以及确保技术补充而非取代人类专业知识方面。

方法

一篇讨论文件,旨在分解关键的人工智能术语并展示实际应用,以指导护士培养应对这一不断演变的技术格局所需的技能。

研究结果

本次讨论强调了保持人类临床判断关键作用的重要性,强调人工智能应支持护士的专业知识而非削弱它。有人认为需要持续教育,以使护士具备将人工智能有效融入其实践的知识。通过采用包容性方法,人工智能有潜力成为一种强大工具,支持护士改善患者护理,同时保留医疗保健中至关重要的人文关怀。

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