在约旦的卫生专业学生中探索对人工智能的知识,态度和实践
Walid Al-Qerem1, Judith Eberhardt2, Anan Jarab3,4,5
1Department of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, 11733, Amman, Jordan. waleed.qirim@zuj.edu.jo.
BMC medical informatics and decision making
|December 15, 2023
概括
约旦的卫生学生显示中等的人工智能 (AI) 知识,但实践集成有限. 提高人工智能教育对于未来的医疗专业人员来说至关重要,他们可以利用人工智能来改善患者护理.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 的整合正在改变医学教育和实践.
- 了解医疗专业的学生对人工智能的看法对于有效实施至关重要.
研究的目的:
- 评估约旦卫生专业学生关于AI的知识,态度和实践 (KAP).
- 识别医疗教育和实践中人工智能采用的障碍.
主要方法:
- 一个在线问卷调查了约旦483名医疗专业的学生.
- 收集的数据包括人口统计,AI相关的KAP和感知障碍.
- 量子回归模型用于统计分析.
主要成果:
- 参与者表现出适度的AI知识,特别是关于数据需求和局限性的知识.
- 对人工智能的态度是混合的,承认它的实用性,同时表达了对人类替代的担忧.
- 人工智能工具的使用是任务特定的,具有有限的广泛整合;关键障碍包括缺乏知识,访问和时间.
结论:
- 显然需要将人工智能教育纳入卫生专业课程.
- 解决已识别的障碍对于准备学生有效利用人工智能至关重要.
- 加强人工智能准备将使医学教育能够利用人工智能的潜力,改善患者的治疗结果和培训.
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