应急部门分拣中的人工智能:人类专业人员的视角
Alina Petrica1,2, Adina Maria Marza1,3, Claudiu Barsac1,4
1Department of Surgery, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.
Frontiers in digital health
|January 22, 2026
概括
专业人士对人工智能的态度在急诊室 (ED) 选中各不相同. 享乐的动机显著影响了热情,突出了开发人员和医疗保健专业人员有针对性的AI教育的需要.
科学领域:
- 医疗保健中的人工智能
- 医疗信息学 医疗信息学
- 紧急医疗 紧急医疗
背景情况:
- 紧急部门 (ED) 的分类是复杂的,随着人工智能 (AI) 解决方案的出现.
- 促进医疗和技术利益相关者之间的信任和协调对于在ED分拣中采用AI至关重要.
- 这项研究探讨了在ED分拣中对AI的专业态度,检查了不同背景的对齐和不对齐.
研究的目的:
- 调查医疗保健提供者和IT专业人员对AI在急诊室 (ED) 选中的态度.
- 确定影响人工智能技术在ED分拣过程中的接受和使用的因素.
- 了解医疗和技术专业人员在 triage 中对人工智能的观点的对齐和不对齐.
主要方法:
- 对医疗保健提供者和IT专业人员进行了一项匿名在线横截面调查.
- 这项调查使用了对人工智能的一般态度 (GAAIS) 和人工智能态度 (AIAS-4).
- 基于调查答复进行了集群分析 (KMeans),结合了技术接受和使用统一理论 (UTAUT2) 的构造.
主要成果:
- 三个不同的集群出现了:谨慎/批判 (K0),热情/乐观 (K1),平衡/务实 (K2).
- 医疗保健提供者主要位于平衡/务实集群 (K2).
- 享乐动机是一个显著的差异化因素,在热情集群 (K1) 中得分更高. 人工智能知识的缺乏在谨慎/关键集群 (K0) 中最为普遍.
结论:
- 利益相关者对ED分拣中的AI的看法是多样化的,不仅仅是由专业背景决定的.
- 享乐动机在推动人们对医疗保健中人工智能应用的热情中起着关键作用.
- 教育举措应侧重于开发人员的结构化人工智能计划和医疗保健专业人员的人工智能素养,以确保有效利用.
关键词:
人工智能态度AI态度AI态度人工智能识字知识由人工智能驱动的分类.信息技术专业人员是IT专业人员.教育教育教育教育的教育.应急室的分拣 紧急室的分拣医疗保健提供者 医疗保健提供者人类因素 人类因素更多相关视频
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