医疗保健中的可穿戴设备超越了"一尺寸适合所有人"的范式
Elena Giovanna Bignami1, Anna Fornaciari1, Sara Fedele1
1Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126 Parma, Italy.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
可穿戴设备 (WDs) 为预测性医疗保健提供持续的生命体征监测. 选择合适的WD取决于特定的临床需求,而不仅仅是特征,以确保患者安全和护理效率.
科学领域:
- 生物医学工程 生物医学工程
- 临床信息学 临床信息学
- 数字健康数字健康
背景情况:
- 可穿戴设备 (WDs) 越来越多地用于临床环境中持续的,非侵入性的生命体征监测.
- 与人工智能 (AI) 的整合使得预测分析能够用于早期患者恶化检测和个性化干预.
- WDs的价值在于对患者基线的趋势分析,而不是绝对测量,用于实时恶化预测.
研究的目的:
- 分析九种临床验证的可穿戴设备,用于生命体征监测.
- 要突出设备配置的差异如何影响跨临床环境的适用性.
- 根据临床需求,强调以背景为导向的WD选择.
主要方法:
- 对九种特定的可穿戴设备进行叙事审查:Radius VSM,BioButton,肖像手机,VitalPatch,CardioWatch 287-2,Cosinuss C-Med Alpha,SensiumVitals,Isansys Lifetouch和CheckPoint Cardio. 这些设备包括:
- 分析的重点是传感器配置,电池寿命,连接性和验证环境.
- 在不同的临床环境和患者群体中评估设备的适用性.
主要成果:
- 尽管具有共享的多参数功能,可穿戴设备是不可互换的.
- 传感器配置,电池寿命,连接和验证环境的差异会影响设备的适用性.
- 每个设备都表现出独特的优势和局限性,受患者群体和操作需求的影响.
结论:
- 以上下文为驱动的选择对于有效实施可穿戴设备至关重要.
- 选择的考虑因素包括护理环境,患者个人资料,基础设施和互操作性.
- 将可穿戴设备的功能与特定的临床需求相匹配,最大限度地提高了患者护理的实用性,安全性和效率.
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