Generative AI in healthcare education: How AI literacy gaps could compromise learning and patient safety

IF 4 3区医学 Q1 NURSING

Nurse Education in Practice Pub Date : 2025-07-04 DOI:10.1016/j.nepr.2025.104461

Daniel Rodger , Sebastian Porsdam Mann , Brian Earp , Julian Savulescu , Christopher Bobier , Bruce P. Blackshaw

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引用次数: 0

Abstract

Aim

To examine the challenges and opportunities presented by generative artificial intelligence in healthcare education and explore how it can be used ethically to enhance rather than compromise future healthcare workforce competence.

Background

Generative artificial intelligence is fundamentally changing healthcare education, yet many universities and healthcare educators have failed to keep pace with its rapid development.

Design

A discussion paper.

Methods

Discussion and analysis of the challenges and opportunities presented by students' increasing use of generative artificial intelligence in healthcare education, with particular focus on assessment approaches, critical thinking development and artificial intelligence literacy.

Results

Students' widespread use of generative artificial intelligence threatens assessment integrity and may inhibit critical thinking, problem-solving skills and knowledge acquisition. Without adequate artificial intelligence literacy there is a risk of eroding future healthcare workforce competence and compromising patient safety and professional integrity.

Conclusion

While generative artificial intelligence presents significant challenges to healthcare education, it offers great promise if used carefully with awareness of its limitations. The development of artificial intelligence literacy is crucial for maintaining professional standards and ensuring patient safety and mitigating its potentially negative impact on the formation of critical thinking skills.

查看原文本刊更多论文

医疗保健教育中的生成式人工智能：人工智能素养差距如何影响学习和患者安全

目的研究生成式人工智能在医疗保健教育中所带来的挑战和机遇，并探索如何在道德上使用它来提高而不是损害未来医疗保健劳动力的能力。生成式人工智能正在从根本上改变医疗保健教育，但许多大学和医疗保健教育工作者未能跟上其快速发展的步伐。设计讨论文件。方法讨论和分析学生在医疗保健教育中越来越多地使用生成式人工智能所带来的挑战和机遇，特别关注评估方法、批判性思维发展和人工智能素养。学生对生成式人工智能的广泛使用威胁到评估的完整性，并可能抑制批判性思维、解决问题的能力和知识获取。如果没有足够的人工智能素养，就有可能侵蚀未来医疗保健劳动力的能力，损害患者安全和职业诚信。结论虽然生成式人工智能对医疗保健教育提出了重大挑战，但如果谨慎使用，并意识到其局限性，它将带来巨大的希望。人工智能素养的发展对于维持专业标准、确保患者安全以及减轻其对批判性思维技能形成的潜在负面影响至关重要。

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

Nurse Education in Practice NURSING-

CiteScore

5.40

自引率

9.40%

发文量

180

审稿时长

51 days

期刊介绍： Nurse Education in Practice enables lecturers and practitioners to both share and disseminate evidence that demonstrates the actual practice of education as it is experienced in the realities of their respective work environments. It is supportive of new authors and will be at the forefront in publishing individual and collaborative papers that demonstrate the link between education and practice.