Artificial intelligence (AI) applications in healthcare and considerations for nursing education

IF 3.3 3区医学 Q1 NURSING Nurse Education in Practice Pub Date : 2024-10-01 DOI:10.1016/j.nepr.2024.104158

Leigh Montejo, Ashley Fenton, Gerrin Davis

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Abstract

Aim/objective

To review the current AI applications in healthcare and explore the implications for nurse educators in innovative integration of this technology in nursing education and training programs.

Background

There are a variety of Artificial Intelligence (AI) applications currently supporting patient care in many healthcare settings. A nursing workforce that leverages healthcare technology to enhance efficiency and accuracy of patient health outcomes is necessary. Nurse educators must understand the various uses of AI applications in healthcare to equip themselves to effectively prepare students to use the applications.

Design

Qualitative synthesis and analysis of existing literature.

Methods

Generative AI (ChatGPT) was used to support the development of a list of the current AI applications in healthcare. Each application was evaluated for relevance and accuracy. A literature review to define and understand the use of each application in clinical practice was completed. The search terms “AI” and “Health Education” were used to review the literature for evidence on educational programs used for training learners.

Results

Ten current applications of AI in healthcare were identified and explored. There is little evidence that outlines how to integrate AI education into educational training for nurses.

Conclusion

A comprehensive multimodal educational approach that uses innovative learning strategies has potential to support the integration of AI concepts into nursing curriculum. The use of simulation and clinical practicum experiences to support experiential learning and to offer opportunities for practical application and training. Considerations for ethical use and appropriate critical evaluation of AI applications are necessary.

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人工智能（AI）在医疗保健领域的应用及护理教育的考虑因素。

目的/目标：回顾当前人工智能在医疗保健领域的应用，探讨护士教育者在护理教育和培训计划中创新性地整合这项技术的意义：背景：目前有多种人工智能（AI）应用支持许多医疗机构的患者护理。一支利用医疗保健技术提高效率和患者健康结果准确性的护理队伍是必要的。护士教育工作者必须了解人工智能应用在医疗保健领域的各种用途，以便让自己能够有效地培养学生使用这些应用：设计：对现有文献进行定性综合与分析：方法：使用生成式人工智能（ChatGPT）来支持当前医疗保健领域人工智能应用列表的开发。对每个应用的相关性和准确性进行评估。完成了文献综述，以定义和了解每种应用在临床实践中的使用情况。以 "人工智能 "和 "健康教育 "为检索词，对用于培训学习者的教育项目的证据进行了文献综述：结果：确定并探讨了目前人工智能在医疗保健领域的十种应用。很少有证据能概述如何将人工智能教育融入护士教育培训中：采用创新学习策略的综合多模式教育方法有可能支持将人工智能概念融入护理课程。使用模拟和临床实习经验来支持体验式学习，并提供实际应用和培训的机会。有必要考虑人工智能应用的道德使用和适当的批判性评估。

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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.