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相关概念视频

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.
Cost Containment
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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
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Primary care promotes wellness and prevents disease. This care includes health promotion, education, protection (such as immunizations), early disease screening, and environmental considerations. Settings providing this type of healthcare include physician offices, public health clinics, school nursing, and community health nursing.
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Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
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为公共卫生利用移动健康技术

Pedro Elkind Velmovitsky1, Merna Kirolos1, Paulo Alencar2

  • 1School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.

JMIR public health and surveillance
|September 12, 2024
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概括
此摘要是机器生成的。

智能技术提供了一种通过补充自我报告数据来加强公共卫生监测的新方法. 为了有效实施,利用移动健康数据需要解决数字公平性和隐私问题.

关键词:
应用程序 应用程序 应用程序数字公共卫生数字公共卫生移动健康 移动健康 移动健康 移动健康移动健康的移动健康手机电话 手机电话手机电话人口健康 人口健康公共卫生公共卫生.自我报告 自我报告智能技术 智能技术是一个智能技术.监控监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督调查调查调查调查调查可穿戴设备可以穿戴.

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科学领域:

  • 公共卫生 公共卫生
  • 数字健康数字健康
  • 卫生监测 卫生监测

背景情况:

  • 传统的公共卫生监测依赖于自我报告的数据,这有偏见和延迟等局限性.
  • 智能技术 (智能手机,智能手表) 提供了对健康变量的被动,持续的监测.
  • 移动医疗技术是传统数据收集方法的替代或补充.

研究的目的:

  • 在加拿大背景下审查移动健康数据研究.
  • 从公共卫生调查中映射出可以通过移动数据增强的变量.
  • 确定在公共卫生中采用移动健康技术的挑战和考虑因素.

主要方法:

  • 审查主要的加拿大调查和移动健康研究.
  • 通过公共卫生调查和智能设备收集的变量分析.
  • 对主要智能技术品牌的人口特征和人口障碍的检查.

主要成果:

  • 识别了智能设备的潜力,以补充现有的公共卫生调查数据.
  • 突出了技术采用方面的挑战,包括数字健康公平性和隐私.
  • 为主要智能设备品牌 (果,Fitbit,三星) 提供了用户人口统计数据的见解.

结论:

  • 公共卫生机构和研究人员应该利用移动健康数据.
  • 承认和解决对设备访问和使用的障碍至关重要.
  • 使用个人智能设备开发用于公共卫生的数据生态系统是可行的,也是具有前性的.