意图使用自动诊断和临床风险感知在资源贫困环境的第一接触临床医生中:以问卷为基础的研究,重点关注急性烧伤
Constance Boissin1,2, Lisa Blom2, Zara Taha2
1Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
JMIR human factors
|June 3, 2025
概括
大多数初接触临床医生愿意使用自动化烧伤诊断,但风险感知是人工智能实施的关键. 这项技术可以改善分拣,特别是在资源不足的地区.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床决策支持系统 临床决策支持系统
背景情况:
- 烧伤的自动诊断可以改善患者的分拣和护理,特别是在资源有限的环境中.
- 及时和准确的诊断对于将患者转移到专门的烧伤中心至关重要.
研究的目的:
- 评估非专业临床医生使用自动烧伤诊断工具的意图.
- 评估临床医生对在烧伤护理中自动诊断相关临床风险的看法.
主要方法:
- 调查对56名初接触临床医生和35名烧伤专家进行了调查.
- 用自动化接受模型来测量使用意向,测试了8种假设.
- 评估了临床风险感知 (概率和严重程度),并使用曼-惠特尼U测试分析了组之间的差异.
主要成果:
- 73%的初接触临床医生打算使用可用的自动诊断.
- 感知到的有用性,但不是态度,与使用意图有关 (R2=0.432,支持5/8假设).
- 感知到的最高风险是无法识别复杂的烧伤 (29%). 首次接触的临床医生比专家更关心烧伤管理不足和过度管理.
结论:
- 绝大多数初接触临床医生都愿意使用自动化烧伤诊断.
- 该研究强调了在采用人工智能治疗烧伤时,感知到的有用性和临床风险感知的重要性.
- 解决临床医生的风险问题对于人工智能在烧伤管理中的可持续实施至关重要.
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