The aggregation of quality health-related data is essential to the success of all public health initiatives. Surveillance mechanisms generate data that help health officials understand existing and emerging infectious and non-infectious diseases. Without a proper understanding of the health problem (etiology, distribution, and mechanism of infection), it will be difficult to gain visibility into the health issue.
Data generated from multiple data sources (Claims, survey, EMR, Lab, etc) is prepared for analysis in the Refactor Health Refinery to enable investigators to draw a picture of the health problem and begin to develop public health interventions.