远程监控算法对家庭非侵入性通风管理的相关性
Clara Bianquis1,2,3, Kinan El Husseini4,5,3, Léa Razakamanantsoa6
1AP-HP, Groupe Hospitalier Universitaire APHP-Sorbonne Université, site Pitié-Salpêtrière, Service des Pathologies du Sommeil (Département R3S (Respiration, Réanimation, Réhabilitation, Sommeil)), Paris, France.
ERJ open research
|March 5, 2025
概括
远程监控算法难以准确识别需要家庭非侵入性通风 (HNIV) 调整的患者. 这些工具产生了许多警报,增加了医疗保健工作者的工作量和成本.
科学领域:
- 呼吸系统医学 呼吸系统医学
- 医疗技术 医疗技术 医学技术
- 医疗信息学 医疗信息学
背景情况:
- 家庭非侵入性通风 (HNIV) 的使用正在增加,这给管理带来了挑战.
- 远程监控为远程管理HNIV患者提供了潜在的解决方案.
- 有效地识别不充分通风的患者对于优化护理至关重要.
研究的目的:
- 评估远程监控算法在检测低于最佳的家庭非侵入性通风中的准确性.
- 评估使用这些远程监控算法的相关成本和后果.
主要方法:
- 11名HNIV专家开发了算法,以识别低于最佳通风的患者.
- 在90天内,对100名HNIV患者的现实数据进行了算法测试.
- 不充分的HNIV被定义为特定的标准,包括低通风,坚持,副作用和残留事件指数.
主要成果:
- 66%的患者被确定为不充分的HNIV,无论其潜在的呼吸系统状况如何.
- 远程监控算法实现了65%的整体正确分类.
- 这些算法表现出78%的灵敏度,但40%的低特异性,导致了大量的警报和成本增加.
结论:
- 远程监控算法在识别不充分通风的患者时表现不佳的诊断性能.
- 它们的实施增加了医疗保健专业人员的工作量,并产生了显著的额外成本.
- 当前的远程监控算法可能在HNIV患者管理中不具有成本效益或效率.
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