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Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Health Information Technology (HIT)
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Donning PPE must be completed before contact with the patient. This process protects from infectious agents. The sequence and action included in each donning are critical, and the steps must be systematic to avoid exposure to pathogens. The institutional policy also needs to be followed while donning PPE. The pre-donning preparations are gathering equipment, inspecting the PPE equipment for tears, holes, or damage, removing jewelry, removing any garments below the elbows, and tying the hair...
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可穿戴健康系统可穿戴健康系统

Paula Lago1

  • 1Electrical and Computer Engineering, Concordia University.

Studies in health technology and informatics
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PubMed
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此摘要是机器生成的。

穿戴式健康系统提供持续监测,但由于数据解释性问题,临床整合面临挑战. 本次审查审查了它们的架构和数据阶段,以确定当前的局限性.

关键词:
数据数据的数据数据的数据.聪明的健康智能健康可穿戴式卫生系统可以穿戴的传感器.

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科学领域:

  • 生物医学工程 生物医学工程
  • 医疗信息学 医疗信息学
  • 数字健康数字健康

背景情况:

  • 穿戴式健康系统集成了用于持续监测身体和心理健康的设备.
  • 这些系统的目标是全面的,综合的健康管理.
  • 临床整合受到数据解释性差的限制.

研究的目的:

  • 审查可穿戴健康系统架构.
  • 分析传感参数和数据阶段.
  • 确定目前临床环境数据解释能力的局限性和挑战.

主要方法:

  • 对可穿戴健康系统架构的审查.
  • 对传感参数的分析.
  • 对数据处理阶段的检查.

主要成果:

  • 当前的可穿戴健康系统在数据解释性方面存在挑战.
  • 架构和数据阶段需要进一步开发用于临床使用.
  • 缺乏标准化的数据解释阻碍了整合.

结论:

  • 解决数据解释性对于临床采用可穿戴健康系统至关重要.
  • 需要对系统架构和数据处理进行进一步的研究.
  • 为了克服整合障碍,需要进行标准化工作.