整合健康数据以改善健康数据治理,使用多源数据分析和三角化平台
Oghenewoke Atariata1, Ime Asangansi2, Anthony Adoghe3
1eHealth For Everyone Foundation, Abuja, Nigeria atwoke@gmail.com.
BMJ health & care informatics
|January 6, 2026
概括
尼日利亚 尼日利亚 尼日利亚
科学领域:
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
- 公共卫生 公共卫生
背景情况:
- 尼日利亚面临着重大的健康数据挑战.
- 缺乏数据的可访问性,互操作性和质量阻碍了有效的医疗保健服务.
- 需要一个集中平台来解决这些问题.
研究的目的:
- 探索多源数据分析和三角化 (MSDAT) 平台的实施.
- 改善尼日利亚的健康数据的可访问性,互操作性和质量.
- 支持尼日利亚卫生部门的数据驱动决策.
主要方法:
- 开发了一个模块化,基于云的MSDAT平台,具有数据集成和分析层.
- 来自DHIS2和NDHS等来源的综合二级健康数据.
- 利用交互式仪表板进行数据可视化,并确保遵守尼日利亚2023年数据保护法.
主要成果:
- 在高层利益相关者会议上增加了健康数据的使用.
- 提高健康数据的完整性和质量数据的可用性.
- 促进了向数据驱动决策的转变.
结论:
- 该MSDAT平台展示了综合健康数据系统的价值.
- 克服抵抗变化和数据迁移等挑战至关重要.
- 加强尼日利亚基于证据的规划和资源分配的能力正在推动卫生系统的发展.
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