学生药剂师在技能实验室课程中使用人工智能进行药物遗传咨询的经验。

IF 3.8 4区教育学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES

American Journal of Pharmaceutical Education Pub Date : 2025-06-17 DOI:10.1016/j.ajpe.2025.101436

Lama Basalelah , Lauren M. Caldas , Alexis N. Crawford , Dayanjan Wijesinghe , Krista L. Donohoe

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引用次数: 0

摘要

目的：描述药学学生在三年级技能实验课程中使用PharmTutorAI.com的基因咨询人工智能（AI）工具进行模拟药物遗传咨询的体验。方法：在2023-2024学年的秋季学期，药学三年级学生在PharmTutorAI.com上完成了三个关于心血管、精神病学和癫痫的药物遗传咨询案例。人工智能对这三个案例进行了评分，每个案例的评分为40分。学生们被要求完成一项可选的调查，调查内容是关于在这个学习模拟中使用人工智能的看法，以及他们是否会推荐使用人工智能。开放式调查问题也被问及。使用KNIME （KoNstanz Information MinEr）和Python进行数据分析。还使用了描述性统计。结果：72名三年级学生中有71名（98.6%）在Gene Counsel AI上完成了所有三个PharmTutorAI.com药物遗传病例和相关调查。总分为40分，心血管病为38.2±1.5分，精神病为38.1±1.9分，癫痫为37.3±4.9分。当被问及咨询偏好时，65.2%的学生更喜欢人类咨询科目和PharmTutorAI.com案例，24.6%的学生更喜欢人工智能，10%的学生更喜欢人类。结论：学生在人工智能药物遗传咨询案例中表现良好，并对该活动表达了积极的看法。Gene Counsel人工智能工具通过消除每次会议对多个辅导员的需求，成功地减少了教师的工作量，同时使学生能够实践多个药物遗传咨询场景，而不仅仅是一个。

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Student Pharmacists’ Experience with Using Artificial Intelligence for Pharmacogenetic Counseling in a Skills Laboratory Course

Objective

To describe third-year student pharmacists’ experiences using PharmTutorAI.com's Gene Counsel artificial intelligence (AI) tool for simulated pharmacogenetic counseling sessions in a skills laboratory course.

Methods

During the Fall semester of the 2023–2024 academic term, third-year student pharmacists completed 3 pharmacogenetic counseling cases focused on cardiovascular conditions, psychiatry, and epilepsy—using PharmTutorAI.com. Each case was graded and scored by the AI out of 40 points. Students were asked to complete an optional survey assessing their perceptions of AI use in this learning simulation and if they would recommend it. Open-ended survey questions were also included. Data were analyzed using KoNstanz Information MinEr and Python. Descriptive statistics were applied.

Results

A total of 71 out of 72 students (98.6%) completed all 3 Gene Counsel AI pharmacogenetic counseling cases and the associated survey. Mean scores (out of 40) were 38.2 ± 1.5 for the cardiovascular case, 38.1 ± 1.9 for the psychiatry case, and 37.3 ± 4.9 for the epilepsy case. When asked about counseling preferences, 65.2% of students preferred both human subjects and PharmTutorAI.com cases, 24.6% preferred AI alone, and 10% preferred human-only interaction.

Conclusion

Students performed well on the AI-based pharmacogenetic counseling cases and expressed predominantly positive perceptions of the activity. The Gene Counsel AI tool successfully reduced faculty workload by eliminating the need for multiple facilitators per session, while enabling students to engage in multiple pharmacogenetic counseling scenarios rather than just one.

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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

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