一项试点研究使用人工智能提高药房客观结构化临床检查的效率,准确性和客观性.
Mariette Sourial1, Jeremy C Hagler2
1Palm Beach Atlantic University, Lloyd L. Gregory School of Pharmacy, West Palm Beach, FL, USA.
American journal of pharmaceutical education
|July 4, 2025
概括
人工智能 (AI) 在评分药房客观结构化临床检查 (OSCE) 检查清单方面表现出高准确性和效率,超过了教师评估. 这种人工智能工具提供客观和一致的评分,以增强学生反和提高绩效.
科学领域:
- 药房 教育 教育 药房 教育
- 医疗保健中的人工智能
- 临床技能评估 临床技能评估
背景情况:
- 客观结构化临床检查 (OSCE) 对于评估药学学生的临床技能至关重要.
- 传统的评分欧安组织的教师可以主观和耗时.
- 需要客观,一致和高效的评估方法.
研究的目的:
- 评估使用人工智能 (AI) 评级药房的可行性 欧安组织分析检查清单.
- 将AI评分的准确性,客观性,一致性和效率与教师评价者进行比较.
主要方法:
- 三年级药学学生 (n=39) 完成了一个五站的OSCE.
- 2个电台的音频录音由定制的AI语言模型 (语音到文本和变压器) 处理.
- 人工智能分数与研究者验证和教师分数进行了比较.
主要成果:
- 人工智能模型在两个站实现了>96%和94%的准确性.
- 教师得分显示了统计学上显著的评分者之间的变化.
- 人工智能在不到5分钟的时间内评分了39名学生,显示出高效率.
结论:
- 一个定制的人工智能模型在准确性,客观性,一致性和药房欧安组织检查清单的效率方面显著超过了教师.
- 人工智能为药房教育中的客观和高效评估提供了一个有前途的工具.
- 及时的AI驱动反可以帮助改善未来的学生表现.
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