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Enabling data sharing and utilization for African population health data using OHDSI tools with an OMOP-common data
Sylvia Kiwuwa-Muyingo1, Jim Todd2, Tathagata Bhattacharjee2
1African Population and Health Research Center (APHRC), Nairobi, Kenya.
The INSPIRE platform uses the Observational Medical Outcomes Partnership Common Data Model to standardize COVID-19 data collection and sharing. This facilitates AI-driven analysis for public health insights and patient recovery strategies.
Area of Science:
- Health Informatics
- Data Science
- Public Health
Background:
- The COVID-19 pandemic highlighted the need for robust data collection and analysis.
- Existing data management practices for COVID-19 lack standardization, hindering data reuse.
- Sub-Saharan Africa faces challenges in optimizing public health response and patient recovery due to data fragmentation.
Purpose of the Study:
- To establish a standardized platform for collecting, documenting, and disseminating COVID-19 data.
- To leverage cloud-based solutions and common data models for improved data accessibility and analysis.
- To enable secure and controlled data sharing across research institutions and data networks.
Main Methods:
- Implementation of the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) as a Platform as a Service (PaaS) in the cloud.
- Utilizing a cloud gateway for individual research organizations and data networks.
- Employing data mapping and terminology mapping to construct Extract, Transform, Load (ETL) processes for populating the CDM.
- The INSPIRE platform for evaluation of COVID-19 Harmonized data (PEACH) harmonizes data from Kenya and Malawi.
Main Results:
- The INSPIRE PaaS provides FAIR data management, analysis, and sharing capabilities.
- The platform supports harmonizing data across localities using the OMOP CDM within a federated model.
- AI technologies integrated with OMOP enable discovery and evaluation of COVID-19 patient pathways through interventions.
Conclusions:
- The INSPIRE platform offers a standardized, cloud-based solution for managing and analyzing COVID-19 data.
- It enhances data interoperability and facilitates AI-driven insights for public health and patient care.
- The platform promotes secure data sharing while empowering data producers with control over their data.
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