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一个基于健康安全的框架,在复杂的健康紧急情况中优先考虑数字学习的地区
Shawn M D'Andrea1, Nada Fadul2, Bruce Struminger3
1Brigham and Women's Hospital, Boston, MA, United States.
数字健康和学习网络,当主动建立时,可以显著提高对急性健康紧急情况的反应. 优先考虑脆弱地区可以确保准备,并优化全球卫生安全的资源配置.
科学领域:
- 数字健康数字健康
- 全球卫生安全 全球卫生安全
- 应急准备情况 应急准备情况
背景情况:
- 数字健康和学习最近已经扩展到急性健康紧急情况.
- 数字健康领域的虚拟实践社区显示出应急响应的前景.
- 预先建立的数字学习网络在健康危机期间是宝贵的资源.
研究的目的:
- 引入和探索数字学习网络优先级框架的价值.
- 通过卫生安全评估,确定最容易受到未来卫生危机影响的国家.
- 能够积极开发数字学习程序以应急激活.
主要方法:
- 通过健康安全评估制定优先级框架.
- 确定高风险地区进行主动数字学习网络开发.
- 使用预测方法建立和激活应急响应网络.
主要成果:
- 预先建立的数字学习网络可以在急性健康紧急情况下成为宝贵的资源.
- 积极开发和优先考虑虚拟学习网络可以提高应急响应能力.
- 确定风险地区的框架有助于将资源集中在需要高的地区.
结论:
- 在高风险地区创建和优先考虑虚拟学习网络可以加强应急响应.
- 识别脆弱国家和地区的框架有助于政策制定者,教育工作者和捐助者有效地分配资源.
- 积极的数字学习网络开发对于加强全球卫生安全和应急准备至关重要.
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