NIH Launches Analytics Platform to Harness COVID-19 Patient Data and Accelerate Research

The move is part of an effort, called the National COVID Cohort Collaborative (N3C), to help scientists analyze these data to understand the disease and develop treatments. This effort aims to transform clinical information into knowledge urgently needed to study COVID-19, including health risk factors that indicate better or worse outcomes of the disease, and identify potentially effective treatments. The N3C is funded by the National Center for Advancing Translational Sciences (NCATS), part of NIH. The initiative will create an analytics platform to systematically collect clinical, laboratory and diagnostic data from health care provider organizations nationwide. It will then harmonize the aggregated information into a standard format and make it available rapidly for researchers and health care providers to accelerate COVID-19 research and provide information that may improve clinical care.

Having access to a centralized enclave of this magnitude will help researchers and health care providers answer clinically important questions they previously could not, such as, “Can we predict who might need dialysis because of kidney failure?” or “Who might need to be on a ventilator because of lung failure?” and “Are there different patient responses to coronavirus infection that require distinct therapies?”

“NCATS initially supported the development of this innovative collaborative technology platform to speed the process of understanding the course of diseases, and identifying interventions to effectively treat them,” said NCATS Director Christopher P. Austin, M.D. “This platform was deployed to stand up this important COVID-19 effort in a matter of weeks, and we anticipate that it will serve as the foundation for addressing future public health emergencies.”