Possibility of Enhancing Digital Health Interoperability in Uganda through FAIR Data  

作　　者：Mariam Basajja Mutwalibi Nambobi Katy Wolstencroft 

机构地区：[1]Leiden Institute of Advanced Computer Science,Leiden University,1011NC,Amsterdam,the Netherlands [2]Kampala International University,256 Kampala,Uganda

出　　处：《Data Intelligence》2022年第4期899-916,1043,共19页数据智能（英文）

基　　金：VODAN-Africa;the Philips Foundation;the Dutch Development Bank FMO;CORDAID;the GO FAIR Foundation for supporting this research

摘　　要：The digital health landscape in Uganda is plagued by problems with interoperability and sustainability, due to fragmentation and a lack of integrated digital health solutions. This can be partly attributed to the absence of policies on the interoperability of data, as well as the fact that there is no common goal to make digital data and data infrastructure interoperable across the data ecosystem. The promulgation of the FAIR Guidelines in 2016 brought together various data stewards and stakeholders to adopt a common vision on data management and enable greater interoperability. This article explores the potential of enhancing digital health interoperability through FAIR by analysing the digital solutions piloted in Uganda and their sustainability. It looks at the factors that are currently hindering interoperability by examining existing digital health solutions in Uganda, such as the Digital Health Atlas Uganda(DHA-U) and Uganda Digital Health Dashboard(UDHD). The level of FAIRness of the two dashboards was determined using the FAIR Evaluation Services tool. Analysis was also carried out to discover the level of FAIRness of the digital health solutions within the dashboards and the most frequently used software applications and data standards by the different digital health interventions in Uganda.

关 键 词：FAIR FAIRness level INTEROPERABILITY Integration Common standards Health information exchange 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] R-05[自动化与计算机技术—计算机科学与技术]