NIH analytics platform to collate nationwide medical record data to aid understanding of COVID-19

The National Institutes of Health (NIH; MD, USA) has announced the launch of a new, centralized analytics platform for collating nationwide medical record data regarding individuals with COVID-19 in a bid to help scientists better understand the disease.

Like Comment

As part of its National COVID Cohort Collaborative (N3C), the National Institutes of Health (NIH; MD, USA) has announced the launch of a new, centralized analytics platform for collating nationwide medical record data regarding individuals with COVID-19 in a bid to help scientists better understand the disease and accelerate development of potential COVID-19 treatments.

The N3C’s new platform – which is primarily supported by the NIH’s National Center for Advancing Translational Sciences (NCATS) – will systematically collect clinical, laboratory and diagnostic data from healthcare provider organizations across the USA and make a harmonized version of this information available to approved researchers and healthcare providers, to help improve understanding of disease risk factors and accelerate COVID-19 research.


You may also be interested in:


Warren Kibbe, Chief Data Officer at the Duke Cancer Institute (NC, USA), stated: "The exciting transformation this platform represents is in providing an environment where data and the power of the analytics can be used by researchers and clinicians to quickly examine and answer new COVID-19 hypotheses."

Currently, 35 participating healthcare sites across the USA are contributing information regarding demographics, symptoms, medications, lab test results and outcomes of individuals with COVID-19 to the initiative. Data are provided as a Limited Data Set, retaining two of 18 elements defined in the Health Insurance Portability and Accountability Act, and are to be input regularly over a 5-year period to enable the long-term impacts of COVID-19 on individuals’ health to be studied in addition to short-term effects.

Machine-learning approaches are to be applied to the data to enable analysis and pattern identification to be achieved more rapidly compared with traditional methods.

"By leveraging our collective data resources, unparalleled analytics expertise, and medical insights from expert clinicians, we can catalyze discoveries that address this pandemic that none of us could enable alone," commented Melissa Haendel, Director of the NCATS’ Center for Data to Health.


Source:

https://ncats.nih.gov/news/releases/2020/NIH-launches-analytics-platform-to-harness-nationwide-COVID-19-patient-data-to-speed-treatments

Go to the profile of Ilana Landau

Ilana Landau

Editor, Future Science Group

194 Contributions
2 Followers
0 Following

No comments yet.