人工智能聊天机器人在解决药品计算中的准确性和可教性:一项描述性研究
Nicole Campbell1, Julie Kalabalik-Hoganson2
1Department of Pharmacy Practice, Fairleigh Dickinson University, Florham Park, NJ, USA. ncampbell@fdu.edu.
International journal of clinical pharmacy
|June 10, 2025
概括
人工智能聊天机器人在复杂的制药计算中显示出有限的准确性,在更简单的任务中表现更好. 需要进一步评估以确定它们对药房实践和教育的可靠性.
科学领域:
- 药房教育 在药房教育.
- 医疗保健中的人工智能
背景情况:
- 制药计算是药学博士课程的核心组成部分.
- 人工智能 (AI) 聊天机器人在药房中的应用正在探索中.
- 人工智能聊天机器人用于制药计算的准确性尚未确定.
研究的目的:
- 评估AI聊天机器人在执行制药计算中的准确性.
- 确定AI聊天机器人的潜在局限性和改进领域,用于制药计算.
主要方法:
- 评估了11个免费访问的AI聊天机器人.
- 一组由教师生成的7个制药计算问题用于测试.
- 绩效的评估是基于正确答案的比例,错误类型和可教性.
主要成果:
- 所有聊天机器人正确地回答了口服到静脉剂量转换问题.
- 90.9%的人正确回答了对照问题,72.7%的人正确计算了伤害所需的数量.
- 只有9.1%提供了正确的抗生素剂量,没有一个正确计算了肌素清除值,常见的错误包括错误的配方和体重选择.
结论:
- 人工智能聊天机器人在复杂的,多步骤的制药计算中表现出有限的准确性.
- 对于更简单的制药计算,AI聊天机器人可能更可靠.
- 人工智能聊天机器人的可教性各不相同,大多数在纠正后显示有所改善.
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