Data Collaborative on Health Systems Performance

The Health Systems Innovation Lab launched the Data Collaborative on Health Systems Performance (DC-HSP), to harness unexplored data to assess health system performance, to generate new evidence to inform the development of new policies, practice and innovations. 

The DC-HSP will be conducted in multiple phases, focusing on three inter-related streams of activities: data, research, and translation. In the data stream, a comprehensive health systems dataset will be created, gradually expanding to incorporate data on contextual factors such as technologies, financing, and political arrangements. This dataset will serve as the foundation for research studies deploying advanced techniques in econometrics, data science, and simulation modelling to examine health system performance and test innovative scenarios. The research stream will develop a framework that utilizes the pooled data set to conduct comparative health systems studies, initially focusing on cardiovascular disease and expanding to other global health priorities as data become available. The translation stream aims to bridge the gap between health systems science, policy and practice, by engaging with public sector entities, hosting policy roundtables and leadership summits, producing policy briefs and by producing interactive data visualizations.