INSPIRE数据中心:一个泛非洲综合服务套件,用于使用OHDSI工具协调纵向人口健康数据
Tathagata Bhattacharjee1, Sylvia Kiwuwa-Muyingo2, Chifundo Kanjala1,3
1Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, University of London, London, United Kingdom.
Frontiers in digital health
|February 13, 2024
概括
INSPIRE数据中心使用FAIR原则和OMOPCDM整合了非洲健康数据,使得更好的政策决策成为可能. 这种可扩展的解决方案增强了数据发现和分析,以改善LMIC人口健康.
科学领域:
- 医疗信息学 医疗信息学
- 人口健康管理 人口健康管理
- 在低收入和中等收入国家 (LMICs) 的数据科学.
背景情况:
- 整合人口健康数据是LMICs的一个重大挑战,阻碍了基于证据的政策和决策.
- 现有的数据系统往往缺乏互操作性,阻碍了全面的分析和可操作的见解.
- 迫切需要强大的基础设施来支持卫生数据整合和在资源有限的环境中进行研究.
研究的目的:
- 提出和描述INSPIRE数据中心,一个泛非洲研究架构和基础设施.
- 加强在LMIC中发现,整合和分析各种健康数据来源 (临床,调查).
- 在非洲研究实体中推广可查找,可访问,可互操作和可重复使用 (FAIR) 数据原则.
主要方法:
- INSPIRE数据中心使用了观察健康数据科学和信息学 (OHDSI) 开源堆和观察医学结果伙伴关系 (OMOP) 共同数据模型 (CDM).
- 它在混合云 (微软Azure,亚马逊Web服务) 和本地基础设施上运行,确保适应性和可扩展性.
- 服务包括数据管道开发,分析,映射,ETL (提取,转换,加载),匿名化和分析,并记录ETL来源.
主要成果:
- 数据中心的"上坡道"服务有助于将各种数据和元数据无集成到OMOP CDM中.
- 源数据的协调是通过标准词汇和OMOP结构一致性实现的.
- 通过元数据流,来源跟踪和可访问的文档 (实施指南) 确保了 FAIR 数据原则.
结论:
- 全非洲INSPIRE数据中心提供了一个可扩展的,系统的解决方案,用于LMICs的健康数据集成,支持政策和决策.
- 利用FAIR原则和OMOPCDM解决了改善人口福祉的证据差距.
- 联邦网络条款允许数据生产者保持控制,促进合作,同时确保数据隐私和安全.
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