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INSPIRE datahub: a pan-African integrated suite of services for harmonising longitudinal population health data using OHDSI tools.

Tathagata BhattacharjeeSylvia Kiwuwa-MuyingoChifundo KanjalaMolulaqhooa L MaoyiDavid AmadiMichael OcholaDamazo KadengyeArofan GregoryAgnes KiraggaAmelia TaylorJay GreenfieldEmma SlaymakerJim Toddnull null
Published in: Frontiers in digital health (2024)
The pan-African INSPIRE datahub presents a scalable and systematic solution for integrating health data in LMICs. By adhering to FAIR principles and leveraging established standards like OMOP CDM, this architecture addresses the current gap in generating evidence to support policy and decision-making for improving the well-being of LMIC populations. The federated research network provisions allow data producers to maintain control over their data, fostering collaboration while respecting data privacy and security concerns. A use-case demonstrated the pipeline using OHDSI and other open-source tools.
Keyphrases
  • electronic health record
  • big data
  • healthcare
  • public health
  • decision making
  • health information
  • machine learning
  • data analysis
  • risk assessment
  • genetic diversity