Student Pharmacists’ Perceptions of Artificial Intelligence and Machine Learning in Pharmacy Practice and Pharmacy Education

IF 3.8 4区教育学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES

American Journal of Pharmaceutical Education Pub Date : 2024-10-17 DOI:10.1016/j.ajpe.2024.101309

Xiangjun Zhang, Chi Chun Steve Tsang, Destiny D. Ford, Junling Wang

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引用次数: 0

Abstract

Objective

This study explored student pharmacists’ perceptions and attitudes regarding artificial intelligence (AI) and machine learning (ML) in pharmacy practice. Due to AI/ML’s promising prospects, understanding students’ current awareness, comprehension, and hopes for their use in this field is essential.

Methods

In April 2024, a Zoom focus group discussion was conducted with 6 student pharmacists using a self-developed interview guide. The guide included questions about the benefits, challenges, and ethical considerations of implementing AI/ML in pharmacy practice and education. The participants’ demographic information was collected through a questionnaire. The research team conducted a thematic analysis of the discussion transcript. The results generated by a team member using NVivo were compared with those generated by ChatGPT, and all discrepancies were addressed.

Results

Student pharmacists displayed a generally positive attitude toward the implementation of AI/ML in pharmacy practice but lacked knowledge about AI/ML applications. Participants recognized several advantages of AI/ML implementation in pharmacy practice, including improved accuracy and time-saving for pharmacists. Some identified challenges were alert fatigue, AI/ML-generated errors, and the potential obstacle to person-centered care. The study participants expressed their interest in learning about AI/ML and their desire to integrate these technologies into pharmacy education.

Conclusion

The demand for integrating AI/ML into pharmacy practice is increasing. Student and professional pharmacists need additional AI/ML training to equip them with knowledge and practical skills. Collaboration between pharmacists, institutions, and AI/ML companies is essential to address barriers and advance AI/ML implementation in the pharmacy field.

查看原文本刊更多论文

学生药剂师对人工智能和机器学习在药学实践和药学教育中的应用的看法。

研究目的本研究探讨了学生药剂师对人工智能（AI）和机器学习（ML）在药学实践中的看法和态度。由于人工智能/ML 的前景广阔，了解学生目前对其的认识、理解以及对其在该领域应用的希望至关重要：2024 年 5 月，我们使用自行开发的访谈指南与六名学生药剂师进行了一次 Zoom 焦点小组讨论。该指南包括有关在药学实践和教育中实施人工智能/移动媒体的益处、挑战和伦理考虑的问题。通过问卷调查收集了参与者的人口统计学信息。研究小组对讨论记录进行了主题分析。团队成员使用 NVivo 生成的结果与 ChatGPT 生成的结果进行了比较，并对所有差异进行了处理：结果：学生药剂师对在药学实践中实施人工智能/移动终端普遍持积极态度，但对人工智能/移动终端的应用缺乏了解。学员们认识到在药学实践中实施人工智能/ML 的几个优势，包括提高准确性和为药剂师节省时间。但也发现了一些挑战，如警报疲劳、人工智能/ML 产生的错误以及对以人为本的护理的潜在障碍。研究参与者表达了他们对学习人工智能/移动终端的兴趣，以及将这些技术融入药学教育的愿望：结论：将人工智能/移动终端融入药学实践的需求正在增加。学生和专业药剂师都需要更多的人工智能/移动终端培训，以掌握相关知识和实践技能。药剂师、机构和人工智能/移动终端公司之间的合作对于解决障碍和推动人工智能/移动终端在药学领域的应用至关重要。

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

American Journal of Pharmaceutical Education 医学-学科教育

CiteScore

4.30

自引率

15.20%

发文量

114

期刊介绍： The Journal accepts unsolicited manuscripts that have not been published and are not under consideration for publication elsewhere. The Journal only considers material related to pharmaceutical education for publication. Authors must prepare manuscripts to conform to the Journal style (Author Instructions). All manuscripts are subject to peer review and approval by the editor prior to acceptance for publication. Reviewers are assigned by the editor with the advice of the editorial board as needed. Manuscripts are submitted and processed online (Submit a Manuscript) using Editorial Manager, an online manuscript tracking system that facilitates communication between the editorial office, editor, associate editors, reviewers, and authors. After a manuscript is accepted, it is scheduled for publication in an upcoming issue of the Journal. All manuscripts are formatted and copyedited, and returned to the author for review and approval of the changes. Approximately 2 weeks prior to publication, the author receives an electronic proof of the article for final review and approval. Authors are not assessed page charges for publication.