药学专业学生对人工智能在药学实践中的整合的看法：中东和北非地区多个国家的伦理挑战

IF 1.4 Q3 EDUCATION, SCIENTIFIC DISCIPLINES

Currents in Pharmacy Teaching and Learning Pub Date : 2025-06-05 DOI:10.1016/j.cptl.2025.102397

Hisham E. Hasan , Deema Jaber , Omar F. Khabour , Karem H. Alzoubi

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引用次数: 0

摘要

将人工智能（AI）整合到药学实践中有可能提高学习经验，并为未来的药剂师应对不断变化的医疗需求做好准备。然而，这也引起了需要谨慎处理的伦理问题。本研究旨在探讨药学专业学生对AI融入未来药学实践的态度。方法采用横断面设计，利用一份有效的在线问卷，于2022年8月至2023年1月对中东和北非（MENA）地区多个国家不同人口背景的药学专业学生进行调查。分别收集了研究参与者的人口统计、教育和工作信息数据。此外，使用李克特技能量表和李克特熟悉度量表收集技术素养和人工智能熟悉度。最后，根据李克特协议量表收集了参与者对人工智能集成的关注和感知障碍。结果共有702名药学专业学生参与研究，其中女生占72.8%，就读于公立大学的占55.6%，未就业的占64.2%。参与者对人工智能整合普遍持消极态度，其中56.2 - 70.8%的受访者同意/强烈同意关注/障碍，包括患者数据隐私（62.0%），黑客易感（56.2%），潜在的工作取代（69.3%），成本限制（66.8%），访问（69.1%），缺乏法规（68.1%），培训（70.4%），医生不情愿（65.1%）和患者恐惧（70.8%）。包括居住国家、学年、累积GPA、工作状态、技术素养和人工智能理解在内的因素影响了参与者的态度。态度得分与技术精通度（r = 0.174）、人工智能理解度（r = 0.155）呈正相关。来自中东和北非地区多个国家的药学学生对人工智能融入他们未来的实践表达了重大的伦理和实践担忧。这些发现强调了将人工智能教育纳入药学课程的必要性，以及制定强有力的道德准则和监管政策的必要性。解决学生的担忧对于确保在未来的药学实践中道德、公平和有益的人工智能整合至关重要。

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Pharmacy students' perceptions of artificial intelligence integration in pharmacy practice: Ethical challenges in multiple countries of the MENA region

Background

The integration of artificial intelligence (AI) into pharmacy practice has the potential to advance learning experiences and prepare future pharmacists for evolving healthcare needs. However, it also raises ethical considerations that need to be addressed carefully. This study aimed to explore pharmacy students' attitudes regarding AI integration into their future pharmacy practice.

Methods

A cross-sectional design was employed, utilizing a validated online questionnaire administered to pharmacy students from diverse demographic backgrounds in multiple countries of the Middle East and North Africa (MENA) region from August 2022 to January 2023. Demographic, education, and work information data were, respectively, collected from study participants. In addition, technology literacy and AI familiarity were collected using a Likert scale on skill and a Likert scale on familiarity. Finally, participants' concerns and perceived barriers regarding AI integration were collected based on a Likert scale on agreement.

Results

A total of 702 pharmacy students participated in the study, with the majority being female (72.8 %), enrolled in public universities (55.6 %), and not employed (64.2 %). Participants expressed a generally negative attitude towards AI integration, where 56.2–70.8 % of respondents agreed/strongly agreed to concerns/barriers including patient data privacy (62.0 %), susceptibility to hacking (56.2 %), potential job displacement (69.3 %), cost limitations (66.8 %), access (69.1 %), the absence of regulations (68.1 %), and training (70.4 %), physicians' reluctance (65.1 %), and patient apprehension (70.8 %). Factors including country of residence, academic year, cumulative GPA, work status, technology literacy, and AI understanding influenced participants' attitudes. Positive correlations were found between attitude score and tech-savviness (r = 0.174), and AI understanding (r = 0.155).

Conclusion

Pharmacy students from multiple countries in the MENA region express significant ethical and practical concerns about AI's integration into their future practice. These findings underscore the need for incorporating AI education within pharmacy curricula, alongside the development of robust ethical guidelines and regulatory policies. Addressing students' concerns is crucial to ensuring ethical, equitable, and beneficial AI integration in future pharmacy practice.

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来源期刊

Currents in Pharmacy Teaching and Learning EDUCATION, SCIENTIFIC DISCIPLINES-

CiteScore

2.10

自引率

16.70%

发文量

192