德国一般实践中的人工智能:当前使用情况,感知到的好处,障碍和未来需求的在线调查
Anne Werner1, Stefanie Fischer2, Markus Bleckwenn2
1Institute for General Practice, Faculty of Medicine, University of Leipzig, Leipzig, Germany anne.werner@medizin.uni-leipzig.de.
BJGP open
|November 11, 2025
概括
德国的全科医生显示,由于知识差距和担忧,人工智能采用有限. 有针对性的培训对于克服障碍和有效地将人工智能纳入初级保健至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健服务研究 医疗服务研究
- 一般的做法一般的做法
背景情况:
- 人工智能 (AI) 具有改变医疗保健提供的巨大潜力.
- 尽管AI的承诺,其采用在德国的初级保健设置受到各种挑战和担忧的阻碍.
- 了解这些障碍对于成功将AI整合到常规临床实践中至关重要.
研究的目的:
- 评估德国的全科医生当前对人工智能技术的使用情况.
- 识别阻碍人工智能在初级保健中采用人工智能的感知障碍.
- 确定全科医生的AI培训需求,并比较AI用户与非用户之间的态度.
主要方法:
- 在德国萨克森州的执业全科医生中进行了一项横截面在线调查.
- 在2024年11月至2025年1月期间,向1620名全科医生发送了邀请函,并发出了提醒.
- 154名全科医生完成了调查,提供了有关人工智能使用,障碍和培训要求的数据.
主要成果:
- 154名全科医生中有70人报告目前使用AI,主要用于治疗和语音识别.
- 发现的主要障碍是缺乏关于合适的AI应用程序和AI功能的知识.
- 与用户相比,非用户表现出更多的法律和患者接受问题,对人工智能的熟悉程度较低,并认为其相关性较低.
结论:
- 在德国初级保健中采用人工智能需要解决一般医生之间特定的知识差距和担忧.
- 对人工智能工具和应用的进一步培训有很大的需求.
- 制定有针对性的培训计划对于促进人工智能有效地融入一般实践至关重要,强调有利的成本效益比率和无软件集成.
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