人工智能的感知,障碍和风险在医疗保健专业人员中:一个横截面研究
Alaa Dalky1, Rand Mohammad Osaid Malkawi1, Ahmad Alrawashdeh2
1Department of Health Management and Policy, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Digital health
|July 18, 2025
概括
约旦的医疗保健专业人员对人工智能 (AI) 整合持乐观看法,尽管对障碍和风险存在适度担忧. 为了在医疗保健中成功实施人工智能,需要进一步的透明政策和沟通.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 医疗人工智能 医疗人工智能
- 医疗保健服务研究 医疗服务研究
背景情况:
- 人工智能 (AI) 越来越多地被认为具有改变医疗保健的潜力.
- 了解医疗保健专业人员的观点对于在临床环境中成功采用人工智能至关重要.
- 约旦的医疗保健部门正在探索人工智能集成,需要检查专业观点.
研究的目的:
- 探索医疗保健专业人员对约旦的人工智能 (AI) 的看法.
- 调查这些感知与人工智能集成感知障碍之间的关系.
- 评估与在约旦临床实践中实施人工智能相关的感知风险.
主要方法:
- 在605名医疗保健专业人员中进行了横截面调查.
- 参与者方便地从约旦的不同类型的医院 (私人,教学,皇家医疗服务,公共) 抽取样本.
- 数据收集发生在安曼市和约旦北部.
主要成果:
- 医疗保健专业人员通常对约旦医疗保健部门的AI整合持乐观看法.
- 识别出了对人工智能采用的中等水平的感知障碍.
- 报告称,与人工智能纳入医疗保健相关的感知风险水平显著.
结论:
- 透明的政策和改进的沟通对于在医疗保健中有效实施人工智能至关重要.
- 需要强大的框架来指导人工智能融入临床实践.
- 解决感知到的障碍和风险是促进医疗保健专业人员成功采用人工智能的关键.
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