麻醉学和重症监护专业人员对人工智能的期望:观察性研究
Jan Andreas Kloka1, Sophie C Holtmann2, Elina Nürenberg-Goloub1
1Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany.
JMIR formative research
|June 12, 2023
概括
麻醉科医生和重症监护医生对医疗保健中的人工智能 (AI) 持开放态度,预计将为员工和患者带来好处. 然而,他们也预见到技术上的挑战,以及需要一个稳定的法律框架来实施人工智能.
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 临床决策支持
背景情况:
- 人工智能 (AI) 为改善医疗保健提供提供了重大机会.
- 人工智能在重症监护室 (ICU) 的成功整合需要解决员工需求和利益相关者的合作.
- 评估欧洲麻醉师和重症监护医生对人工智能的看法至关重要.
研究的目的:
- 调查欧洲麻醉师和重症监护医生对AI机会和风险的看法.
- 用罗杰斯的分析模型评估医疗保健环境中人工智能创新的接受程度.
- 确定影响重症监护专业人员采用人工智能的关键因素.
主要方法:
- 一个全欧洲的,横截面的观察性研究,使用基于网络的问卷.
- 该调查通过欧洲麻醉学与重症监护学会 (ESAIC) 的电子邮件列表进行了分发.
- 从701名参与者收集了数据,并分析了701个已填写的问卷.
主要成果:
- 之前接触过人工智能的医生报告说,与没有人工智能的医生相比,他们感知到的益处更高 (平均3.22) (平均3.01).
- 早期预警系统被确定为最有利的AI应用 (48%强烈同意,51%同意).
- 主要关注的问题包括技术问题 (34%强烈同意,58%同意),处理困难 (18%强烈同意,66%同意),法律责任 (27%强烈同意,53%同意) 和数据保护 (21%强烈同意,49%同意).
结论:
- 麻醉科医生和重症监护专业人员对人工智能持乐观态度,他们期望人工智能对员工和患者都有好处.
- 人工智能接受度不受私营部门地区数字化差异的影响.
- 解决技术挑战,建立安全的法律框架,并提供适当的培训对于成功在医疗保健中实施人工智能至关重要.
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