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FAIR Equivalency with Regulatory Framework for Digital Health in Uganda

Mariam Basajja, Mirjam van Reisen, Francisca Oladipo

2022Data Intelligence10 citationsDOIOpen Access PDF

Abstract

Abstract This study explores the possibility of opening a policy window for the adoption of the FAIR Guidelines— that data be Findable, Accessible, Interoperable, and Reusable (FAIR)—in Uganda's eHealth sector. Although the FAIR Guidelines were not mentioned in any of the policy documents relevant to Uganda's eHealth sector, the study found that 83% of the documents mentioned FAIR Equivalent efforts, such as the adoption of the National Identification Number (NIN) as a unique identifier in Uganda's national Electronic Health Management Information System (eHMIS) (findability), the planned/ongoing integration of various information systems (interoperability), and the alignment of various projects with international best practices/standards (reusability). A FAIR Equivalency Score (FE-Score), devised in this study as an aggregate score of the mention of the equivalent of FAIR facets in the policy documents, showed that the documents at the core of Uganda's digital health/eHealth policy have the highest score of all the documents analysed, indicating that there is a degree of alignment between Uganda's National eHealth Vision and the FAIR Guidelines. Therefore, it can be concluded that favourable conditions exist for the adoption and implementation of the FAIR Guidelines in Uganda's eHealth sector. Hence, it is recommended that the FAIR community adopt a capacity building strategy through organisations with a worldwide mandate, such as the World Health Organization, to promote the adoption of the FAIR Guidelines as part of international best practices.

Topics & Concepts

eHealthInteroperabilityMandateDigital healthBusinessHealth sectorBest practiceComputer sciencePolitical scienceWorld Wide WebHealth careMedicineEconomic growthEnvironmental healthEconomicsPopulationHealth servicesLawResearch Data Management PracticesData Quality and ManagementScientific Computing and Data Management