Health-related data, encompassing biomedical, behavioural, and socio-demographic information along with various contextual information, is distributed across multiple information systems and datasets. These systems employ diverse technologies and data structures, including natural language, complicating the task of making data findable, accessible, interoperable, and reusable. The use of varied terminologies to annotate and describe this data adds to the complexity. Our challenge is to integrate and make this data available as actionable intelligence for health decision-makers, aiding in effective individual and population disease prevention and control. This integration aims to save lives and livelihoods and reduce the impact on economies and societies.
Description coming soon...
Learn MoreDescription coming soon...
Learn MoreDescription coming soon...
Learn More