Helping the NIH Fight the Pandemic
Adeptia provided a self-service, AI-driven workflow that streamlined a manual, time-consuming process
With the onset of the COVID-19 pandemic in 2020, the National Institutes of Health mobilized to promote public policy with the goal of flattening the epidemic curve to slow the rate of new infections so those in need of health care resources, especially the critically ill, didn’t overwhelm the United States health care system.
This required collecting and analyzing a high volume of patient-level data related to the presence and spread of the disease, the effectiveness of the test and drugs, various demographic statistics, as well as other information. Unfortunately, that data was being collected all over the United States, from many sources, in a variety of formats, and focusing on different demographic meanings. The data needed to be normalized, standardized, checked, assured for quality, and finally, brought into a single database in an accessible format.
Download this Case Study to learn the part Adeptia played in making this COVID data accessible to researchers, helping the NIH fight the pandemic.