密集护理医生对基于人工智能的决策支持系统的期望 持续脏替代疗法:预发育调查研究 预发育调查研究
Benjamin Popoff1,2, Sandie Cabon2, Marc Cuggia2
1Department of Anesthesiology, Critical Care and Perioperative Medicine, CHU Rouen, 37 Bd Gambetta, Rouen, 76000, France, 33 232888292.
JMIR medical informatics
|April 23, 2025
概括
重症监护医生倾向于基于AI的临床决策支持系统 (CDSS) 进行连续脏替代疗法 (CRRT) 断奶. 透明度和整合是采用这些人工智能工具的关键.
科学领域:
- 关键护理医学 关键护理医学
- 医疗保健中的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 在ICU中的重症患者产生了大量的数据,需要持续监测.
- 人工智能驱动的CDSS显示出改善临床决策的潜力,但面临实施挑战.
- 连续脏替代疗法 (CRRT) 断奶是一个复杂的过程,缺乏明确的指导方针.
研究的目的:
- 调查ICU医生关于他们对基于AI的CDSS对CRRT断奶的期望和知识.
- 引导以用户为中心的开发和临床集成基于AI的CDSS用于CRRT断奶.
- 评估医生对AI采用复杂临床决策的意见.
主要方法:
- 对法语说话的ICU医生进行前性横截面调查 (2023年12月 - 2024年4月).
- 调查问卷涵盖了CRRT断奶实践,AI-CDSS意见,实施和采用意愿.
- 统计分析包括威尔科克森等级和,奇平方,费舍尔精确测试和顺序逻辑回归.
主要成果:
- 171名医生做出了回应,70.2%的医生认为AI-CDSS是有利的.
- 医生对CRRT断奶的困难意见分歧.
- 66.1%的人支持AI-CDSS提供断奶援助,年轻的医生表现出更强烈的支持 (P=.01).
- 95.3%的人强调了解AI模型预测标准的重要性.
结论:
- 密切护理医生对AI-CDSS对CRRT断奶表示乐观.
- 透明度,工作流集成和与临床决策保持一致对于人工智能采用至关重要.
- 建议包括将关键变量纳入,定义值,并确保成功集成的模型透明度.
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