使用高准确度的生理数据流与病房或病因测量:一个系统的审查
Rohit S Loomba1,2, Wesam Sourour1,2, Saul Flores3
1Ann & Robert H. Lurie Children's Hospital, Chicago, IL, USA.
Cardiology in the young
|September 5, 2025
概括
儿童急症护理数据平台如Sickbay®和Etiometry的研究正在增长,在9年内发表了41篇论文. 大多数研究集中在心脏病患者和单一中心,表明使用高准确度的生理数据正在扩大.
科学领域:
- 生物医学信息学
- 儿童重症监护
- 医疗技术研究
背景情况:
- 生理数据流和聚合平台 (Sickbay®,Etiometry) 在儿科急性护理中越来越多地被采用.
- 这种采用激发了学术研究兴趣的同时增加.
- 了解研究趋势对于评估这些技术的影响和未来发展方向至关重要.
研究的目的:
- 描述Sickbay®或Etiometry平台的研究生产力和使用趋势.
- 分析使用儿科急性护理的高准确度生理流数据的出版物.
- 确定该领域的研究主要特征和趋势.
主要方法:
- 系统的文献审查以确定相关的儿科出版物.
- 分析已识别的出版物以描述研究趋势,作者贡献和机构参与.
- 基于使用的平台,患者群体,研究设计和方法 (例如AI/ML) 的研究分类.
主要成果:
- 在9年的时间里,共发现了41个出版物.
- 研究涉及来自21个机构的179名作者,随着时间的推移,出版量显著增加.
- 大多数使用Sickbay®的研究集中在心脏病患者身上,是单中心的,不使用机器学习或人工智能.
结论:
- 出版量表明在儿科急性护理中使用高准确度的生理数据越来越多.
- 目前的研究主要集中在单一中心的研究中,
- 增加多中心合作可以提高研究能力,并推动临床护理的改善.
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