AI-driven data integration solution: NIH case study

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Back in 2020, during the onset of the pandemic, the National Institute of Health (NHI) sought out a way to slow the rate of new infections in order to ensure that people in need of health care resources, especially those who were critically ill, didn’t need care at same time and thus overwhelm a system with limited resources.

However, to accomplish that goal, it was necessary to collect and analyze a high volume of reliable patient-level, accurately attributed, nationally representative data.

Access this case study to learn how the NIH was able to leverage an AI-driven data integration solution to accelerate workflows and get information to the public sooner.

Oct 28, 2023
Oct 28, 2023
Case Study
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