Description of Session
As the amount and quality of health data generated within Sub-Saharan Africa grows, the focus is moving from production to the actualization of the value of the data. The question is thus, how do we obtain actionable information and insights from these resources? The above question should be answered within the context of health being both a regional and global issue. Thus, the continued drive within the continent towards regional cooperation and integration will be important in ensuring the full utilization of these vast health data resources; all geared towards improving health outcomes for populations within the Sub-Saharan region. In a conversation led by USAID’s Regional Action Through Data Program, panelists will share their stories from the front lines of creating sustainable demand for, and utilization of, regional health information. Panelists, representing three different regional data platforms serving countries in Africa (working with regional economic communities), will discuss various approaches utilized in encouraging demand for regional health information by concentrating on both the producers and consumers of the health information; sharing stories of success and failure. This panel discussion will focus on creating a value proposition amongst public and private sector stakeholders at national and regional levels, and thus discuss the attendant strategies to grow and sustain demand for regional health information and actionable insights therefrom. Key themes driving the panel conversation include: • Driving the value of regional data for national ministries of health, • Integration of regional health data into national health information decision-making processes, • Understanding the needs and the benefits to both the producers and consumers of the health information, • Aligning the incentives between the producers and consumers of the health information, • Affordable stakeholder engagement of large regional communities, • A quality data pipeline is paramount to sustainable data demand.
