在菲律宾马尼拉大都市通过使用免费的仪表板软件优化和自动化聚合和可视化COVID-19数据:一个案例研究
1Author Affiliations: Department of Health (Philippines), Manila, Philippines, and Monash University (Ong), Melbourne, Australia.
Journal of public health management and practice : JPHMP
|August 8, 2025
概括
工作人员开发了一个内部仪表板,以自动化COVID-19数据聚合和可视化,将处理时间缩短一半以上. 这种方法克服了资源限制,并扩展到其他监控系统.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 对数据的需求增加需要高效的处理.
- 现有的COVID-19数据聚合工作流是耗时的.
- 地方公共卫生部门面临资源限制.
研究的目的:
- 开发一个用于COVID-19数据聚合和可视化的自动化仪表板.
- 减少数据处理所需的时间和资源.
- 评估仪表板方法对其他监控系统的可扩展性.
主要方法:
- 区域流行病学和监测部门开发了一个内部仪表板.
- 自动化来自多个COVID-19数据源的数据聚合.
- 在仪表板中实现数据可视化功能.
主要成果:
- 仪表板将数据处理时间减少了大约35分钟,超过了原始工作流程持续时间的一半.
- 员工的承诺和沟通有助于克服时间,财务和人力资源的限制.
- 仪表板开发方法已成功扩展到其他监控系统.
结论:
- 仪表板是地方数据聚合和可视化的有效工具.
- 仪表板补充,但不能取代关键数据审查和通信.
- 需要进一步的研究来建立公共卫生仪表板的框架和标准.
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