A Learning Health System for Improved Data Use for HIV/AIDS Response

Damazo Kadengye of the African Population and Health Research Center in Kenya will establish a functional Learning Health System to promote the exploration of population health data from multiple sources to improve public health responses to infectious diseases in sub-Saharan Africa. Utilizing the data revolution to generate new knowledge is crucial for achieving global health targets, but there is a lack of suitable tools and limited access to data from different sources. They will integrate multiple large HIV/AIDS datasets from 11 longitudinal population cohorts in East Africa and develop an organizational architecture that enhances data discoverability and promotes responsible open data sharing, supporting collaborations between healthcare professionals, policy makers and researchers. They will also train scientists to produce data-based evidence using data science tools and predictive statistical models and to work with policy makers at local and national levels.