Realizing health data interoperability in low connectivity settings: The case of VODAN-Africa

Abstract

VODAN Africa has produced FAIR data in low resource settings. Federated machine actionable data is available in a triple store for visiting. Interoperability facets (I1–I3) were followed to achieve semantic interoperability. Vertical interoperability was also realized with DHIS2.

Federated FAIR principles: Ownership, localisation and regulatory compliance (OLR)

“…The MVP deploys patient health records from the Out Patient Registry, Ante Natal Care an d COVID Data from facilities in rich metadata-format as machine-actionable and visitable FAIR objects in AllegroGraph [1], a graph producing software, within the clinic where the data is produced. VODAN-Africa achieved a data-visiting, architecture in which data is entered once, can be arranged by algorithmic tools to perform different operations, and allowing for horizontal data-interoperability (within the community) and vertical data-interoperability (with other platforms) [2]. The data can be visited across different regulatory jurisdictions.…”