药房教师和学生对人工智能的看法:全国调查
Kyle A Gustafson1, Sarah Berman2, Paul Gavaza3
1Northeast Ohio Medical University, PO Box 95, 4209 St Rt 44, Rootstown, OH 44272, United States of America.
Currents in pharmacy teaching & learning
|March 22, 2025
概括
药房教师和学生熟悉人工智能 (AI),但AI培训缺口仍然存在. 整合人工智能教育对于未来的药剂师在数字医疗保健中至关重要.
科学领域:
- 药房 教育 教育 药房 教育
- 数字健康数字健康
- 人工智能的人工智能
背景情况:
- 探讨美国药房教师和学生对人工智能 (AI) 的看法,熟悉度和使用情况.
- 识别药房课程内人工智能教育和培训中的关键差距.
- 强调需要在药学教育中对AI进行结构化的课程整合.
研究的目的:
- 评估药房教师和学生当前对人工智能的理解和使用情况.
- 为了确定AI在药房教育中整合的障碍和促进者.
- 为未来的药剂师制定人工智能培训策略提供信息.
主要方法:
- 在全国范围内对药学教师和学生进行了一项19项QualtricsTM调查.
- 从2023年9月5日至11月22日收集的数据.
- 调查结果分析了趋势,并将教师和学生群体进行了比较.
主要成果:
- 教师 (n=235) 和学生 (n=405) 均报告了高度的AI熟悉度,培训方面存在显著差异.
- 伦理考虑和培训需求被确定为两组AI集成的关键障碍.
- 与教师相比,学生对人工智能影响药房工作的担忧更大.
结论:
- 显然需要针对药学学生进行有针对性的人工智能培训,以弥合知识和技能差距.
- 不一致的AI课程和缺乏道德准则需要制度政策和专业指导.
- 为人工智能驱动的医疗保健环境准备药剂师需要有意义的教育策略.
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