N3C In the News

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Out of many, one: COVID database takes root, epitomizes the national ideal

NC3, the NIH-spurred effort to grow a national COVID database from far-flung local siloes, has already yielded an impressive harvest: almost 600 million clinical observations of nearly 6.5 million patients seen at 56 sites.

— Innovate Healthcare, Brett Sayles: June 22, 2021

MIT Technology Review

It took a pandemic, but the US finally has (some) centralized medical data

The database is now one of the largest collections of covid records in the world, with 6.3 million patient records from 56 institutions and counting, including records from 2.1 million patients with the virus. Most records go back to 2018, and contributing organizations have pledged to keep updating them for five years. That makes N3C not just one of the most useful resources for studying the disease today, but one of the most promising ways to study long covid. 

— Cat Ferguson: June 21, 2021


Introducing National COVID Cohort Collaborative for Data Science-driven EHR Analysis

With healthcare analytics, the N3C platform could benefit all participants to securely integrate electronic patient records (EHR) across states and compare these to build a highly secured and super-beneficial healthcare infrastructure for everyone.

— Sudipto Ghosh: June 21, 2021

Oncology Nurse Advisor

Risk Factors Identified for All-Cause Mortality in Cancer Patients With COVID-19

The study was based on data obtained from the National COVID Cohort Collaborative (N3C), which is a large nationwide cohort of COVID-19 cases and control groups, consisting of outpatients and inpatients seen at various sites across the United States. The analysis included adults from the N3C cohort who had received either a positive or negative COVID-19 diagnostic result between January 1, 2020, and March 25, 2021. From this population, the researchers aimed to develop and characterize a cohort of patients with cancer to examine possible risk factors for mortality with COVID-19.

— Vicki Moore: June 18, 2021


Palantir Recognized with Amazon Web Services Global Public Sector Partner Award

Palantir’s platform was instrumental in the fight against COVID-19 by providing customers a secure platform to integrate, harmonize, and analyze COVID-19 data. At the NIH’s National Covid Cohort Collaborative (N3C), Palantir software was used to accelerate research and improve understanding of the disease. More than 1000 researchers used N3C to collaborate on hundreds of projects that ultimately helped guide an effective response to COVID-19. Palantir was also used by other organizations across the U.S. government to better respond to the pandemic.

— Business Wire, Lisa Gordon: June 17, 2021


How does COVID-19 affect patients with cancer? Largest U.S. study shares first results

In the largest study of its kind to date, researchers analyzing national data from more than 63,000 patients with cancer and a positive COVID-19 diagnosis report an increased risk of death among those who were older, male, had a higher number of comorbidities, and had hematologic cancers and recent chemotherapy treatments. 

— Matt Windsor: June 10, 2021

UMB News

Translating Data into Action

In the presentation, “Informatics, Ontology, Data Systems: The N3C,” Kenneth Gersing, MD & Christopher Chute, DrPh, MD, MPH explained the workings of the National COVID Cohort Collaborative as a centralized secure portal for hosting patient-level COVID clinical data involving more than 2,000 data scientists from across the nation collaborating on COVID-related data analysis.

— Mary Therese Phelan: June 10, 2021

Renal & Urology News

Most COVID-19 Cases in Solid Organ Transplant Patients Occur in KTRs

Investigators who reviewed data from the largest cohort to date of solid organ transplant (SOT) recipients with COVID-19 found that the viral illness is more likely to occur among those who receive kidney rather than other solid organs, according to a presentation at the virtual 2021 American Transplant Congress.

— Jody A. Charnow: June 7, 2021

2021 FedHealthIT Innovation Award Winners Announced

2021 FedHealthIT Innovation Award Winners Announced

The 7th Annual FedHealthIT Innovation Awards recognizes and honors the Federal Health technology and consulting community by celebrating programs nominated and selected by their peers for DRIVING INNOVATION and RESULTS across the Department of Veterans Affairs, Military Health, Health and Human Services, and Centers for Medicare and Medicaid Services.

This year’s Program Award Winners were announced over three days, in no particular order. (See entry 19.)

National Institutes of Health, National Center for Advancing Translational Sciences 
National COVID Cohort Collaborative (N3C) 

N3C is an innovative collaboration program across 70 NIH Clinical and Translational Science Award sites to centralize data on COVID-19 for clinical research. N3C’s most innovative aspect is the creation of a secure Data Enclave comprising 1M+ COVID-19 patients from across more than 70 providers and the fostering of a group of more than 1000 researchers using it. N3C has transformed how CTSA sites conduct research, allowing them to form cross-institute research teams accessing much richer datasets. Building the data enclave used industry-leading modern cloud technology, and management of complex organizational change was required to build the community of researchers who are now pursuing training, mentorship, and collaborative science.

— Heather Seftel-Kirk: May 25, 2021


Unmasking The Covid Realities - The CDC Still Needs To Find The Data

The National COVID Collaborative (N3C) is an electronic health record repository of over 5.6 M+ patients including 1,550,337+ Covid positive patients.  This staggering amount of information is held in 6.2 B+ rows of data and provides enough substrate to currently support 173 projects. The projects range from evaluation of anti-thrombotic therapies to the effects of alcohol consumption on Covid-19 outcomes and a host of other studies.

— Steve Brozak: May 14, 2021

Medpage Today

Health Data Sharing Improved During Pandemic, but Barriers Remain

Another large health data sharing project is known as N3Cthe National COVID Cohort Collaborative. It is sponsored by the National Center for Advancing Translational Sciences (NCATS), part of the NIH. "The goal of this group is so important," said Kenneth Gersing, MD, the center's director of informatics. To get the database going, NCATS said to its partnering institutions, "We want your data on people who have COVID or 'controls'people who have not had COVIDand we want their entire medical record, and we'd like it starting in January of 2018," Gersing explained.

— Joyce Frieden: April 23, 2021

Contagion Live

Examining a Connection Between HIV, COVID-19, and Race

Jessica Islam PhD, MPH, assistant professor, University of North Carolina, member of Cancer Epidemiology at Moffitt Cancer Center, was part of a team of investigators who looked at racial disparities of COVID-19 in people living with HIV (PLWH) in the United States. They reviewed COVID-19 positive data and HIV status by using the US National COVID Cohort Collaborative (N3C).

— John Parkinson: April 11, 2021

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Data science talk to focus on COVID-19 database available to Penn State faculty

The National COVID Cohort Collaborative (N3C), funded by the National Center for Advancing Translational Sciences, is an initiative that seeks to put data into the hands of scientists who are skilled at manipulating or deriving insight from data sets. Penn State Clinical and Translational Science Institute spearheaded the University’s participation in the N3C initiative. As part of the initiative, which includes institution-level data usage agreements, Penn State faculty can get free access to the platform without seeking Institutional Review Board approval.

— Liam Jackson: April 9, 2021

Fed Scoop

NIH’s COVID-19 data enclave continues to evolve with the virus

The National Center for Advancing Translational Sciences within NIH launched the largest COVID-19 dataset in the U.S., the National COVID Cohort Collaborative (N3C) Data Enclave, in April. And now NCATS wants to use privacy-preserving record linkage (PPRL) to link data from its enclave with medical images, omics tools, electronic health records (EHRs), and social determinants of health to answer researchers’ lingering questions like why COVID-19 symptoms linger in some patients.

— Dave Nyczepir: April 7, 2021


Palantir Issues Additional Details About Life Sciences Capabilities to be Shown at “Double Click” on Wednesday, April 14, 2021

More than 1,000 researchers at the NIH’s National COVID Cohort Collaborative (N3C) use Palantir's Foundry to securely maintain one of the largest patient-level data assets of COVID-19 Electronic Health Record (EHR) data in the world and collaborate on more than 150 research projects (as illustrated in this video demonstration by N3C).

— Lisa Gordon: April 1, 2021

UC Health

UC hospitals join NIH's national EHR database collaborative for COVID-19 research

UC Health centers will use the $500,000 grant to integrate the COVID-19 patient data its facilities have collected with the N3C database, making the case records available on a national scale. The UC Health centers participating are UC San Diego, UC Davis, UC San Francisco, UCLA and UC Biomedical, Research, Acceleration, Integration and Development.

— Jackie Drees: March 25, 2021

Paper clips

NIH Funds National Project to Promote COVID-19 Data Sharing

UC hospitals have received a $500,000 grant from NIH to enable COVID-19 data sharing on a national scale, allowing collaborations among researchers, providers, and patients.

— Jessica Kent: March 25, 2021

Dan Cooper, MD

UCI to lead transfer of UC COVID-19 patient information to federal database

Dr. Dan M. Cooper, associate vice chancellor for clinical and translational science at UCI, will manage a transfer of UC information on COVID-19 cases into the National COVID Cohort Collaborative’s centralized data resource at the NIH’s National Center for Advancing Translational Sciences.

— Newswise, Irvine, California: March 24, 2021


TraCS' Emily Pfaff works with NIH to co-lead long-COVID domain team

The Long-COVID Clinical Domain Team aims to define and characterize patients with long-term sequelae of SARS-CoV-2 infection. These patients continue to experience several symptoms for an extended period of time after recovering from the initial effects of COVID-19 virus. A Long-COVID phenotype will support prognostic characterization of different substrata, potentially more precise care management, and greatly inform prospective interventional studies. The NIH has also just launched a new initiative to study Long COVID to help answer underlying questions surrounding this phenomenon.

— North Carolina Translational and Clinical Sciences Institute: March 22, 2021

Contagion Live

Role of Immunosuppression in the Risk of Severe COVID-19

For those with immunosuppression or are immunocompromised (ISC), it is well-known that they are at an increased risk for more severe forms of disease. During the time of a global pandemic, like that of the currently ongoing COVID-19 virus, the role to which ISC plays is of significant importance.

— Killian Meara: March 8, 2021

Jim McClay, MD

National COVID data repository available to researchers

The National Center for Advancing Translational Sciences-funded National COVID Cohort Collaborative (N3C) is open for business and recruiting interested investigators across the clinical and translational spectrum to engage with this health record repository containing the largest, most representative U.S. cohort of COVID-19 cases and controls to date.

— Jerrod Anzalone: March 4, 2021

Computer with Timeline Charts

CU Anschutz Physician Publishes First Paper from Data in the National COVID Cohort Collaborative

Tell Bennett, MD, associate professor in the University of Colorado School of Medicine and director of Informatics in the Colorado Clinical and Translational Sciences Institute (CCTSI), has been helping to lead the N3C nationally. He is also the first author on the first preprint to be published from N3C data, The National COVID Cohort Collaborative: Clinical Characterization and Early Severity Prediction.

— Wendy Meyer: February 17, 2021

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Leverage National COVID Cohort Collaborative Data

Researchers across the University of Michigan planning COVID-19 trials can now take advantage of the National COVID Cohort Collaborative (N3C) to inform their research hypotheses.

— Michigan Institute for Clinical & Health Research: February 2, 2021

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NIH-led COVID research effort taps AI startup schooled in synthetic health data

The NIH, FDA and Bill and Melinda Gates Foundation are working with a San Francisco startup whose calling card is an AI-enabled engine that renders patient data unidentifiable by reproducing it in synthetic versions. The startup, Syntegra announced the development Jan 18, 2021. The parties will collaborate around opening access to EHR data as part of the NIH’s COVID Cohort Collaborative (N3C), which is marshaling resources and expertise for researchers studying SARS-CoV-2 and its effects on U.S. healthcare.

— Innovative Health, Dave Pearson: January 20, 2021

NCATS N3C Graphic

Syntegra, NIH, Gates Foundation Partner on COVID-19 Synthetic Patient Data

A San Francisco startup is partnering with the NIH to address a key challenge posed by the agency collecting the largest set of COVID-19 patient records since June: How can access to that repository be broadened for researchers without compromising the privacy of patients who contributed all that data Syntegra plans to tackle that challenge by applying its synthetic data engine to the NIH’s National COVID Cohort Collaborative (N3C). The company uses machine learning to create validated “synthetic data”—replicas of healthcare data that are designed to precisely duplicate its statistical properties, with patient privacy protected by removing all links to the original.

— Clinical Omics, Alex Philippidis: January 20, 2021


The National COVID Cohort Collaborative: Clinical Characterization and Early Severity Prediction

This is the first description of an ongoing longitudinal observational study of patients seen in diverse clinical settings and geographical regions and is the largest COVID-19 cohort in the United States. Such data are the foundation for ML models that can be the basis for generalizable clinical decision support tools. The N3C Data Enclave is unique in providing transparent, reproducible, easily shared, versioned, and fully auditable data and analytic provenance for national-scale patient-level EHR data. The N3C is built for intensive ML analyses by academic, industry, and citizen scientists internationally. Many observational correlations can inform trial designs and care guidelines for this new disease.

— DocWireNews: January 20, 2021 (Originally Published Here)

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Syntegra collaborates with US NIH to increase access to Covid-19 data

Syntegra and the NIH's National COVID Cohort Collaborative (N3C) have collaborated to expand access to the largest set of Covid-19 patient records using the former's AI-enabled synthetic data technology. Through its Covid-19 Therapeutic Accelerator, the Bill and Melinda Gates Foundation is backing the partnership between Syntegra and the NIH. The NIH will be able to provide far less restricted access to the largest available repository of patient-level Covid-19 electronic medical records using Syntegra’s synthetic data engine, can help in rapidly expanding the reach and usage of this data in driving Covid-19 insights, and can set the basis for increasing data access to life science researchers in other major fields of disease understanding and drug and device development.

— Pharmaceutical Technology: January 19, 2021

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Widening Access to COVID-19 Data

California information technology and services company Syntegra and the National Institutes of Health (NIH) have signed a partnership to 'democratize access to the largest set of COVID-19 patient records' with the use of Syntegra's synthetic data engine

— BioPharma Reporter, Rachel Arthur: January 18, 2021

Getting a vaccine

Individuals With Down Syndrome Should Get Vaccinated For COVID-19 Early, CDC Recommends

The Centers for Disease Control and Prevention is recommending individuals with comorbidities get vaccinated from the coronavirus early, which now includes those with Down syndrome. “The increased risk conferred by Down syndrome in terms of COVID-19 hospitalization and mortality is equivalent to adding 40 years to your birth certificate” suggests findings from the United Kingdom published in the Annals of Internal Medicine. Data from the National COVID Cohort Collaborative shows similar trends for Down syndrome patients who have contracted COVID-19 in the U.S.

— NPR, Lisa Mullins & Samantha Raphelson: January 15, 2021


UTHSC’s Madlock-Brown Participating in National COVID Data Research Collaborative

One of UTHSC’s data scientists is applying her extensive expertise in informatics to a national effort to leverage big data in the fight against COVID-19. Charisse Madlock-Brown, PhD, MLS, a faculty member in Health Informatics and Information Management at UTHSC, is a co-lead for one of the clinical domain teams of the National COVID Cohort Collaborative (N3C). "As co-lead for the SDoH task team, I can facilitate the development of robust research protocols, integrate various data sets, coordinate training on the N3C platform, collaboratively analyze COVID-19 data, and provide opportunities for investigators to share related research and propose ideas."

— The Tennessee Tribune: January 14, 2021

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Synthetic Data Engine to Support NIH’s COVID-19 Research-Driving Effort

As a partnership between NIH, Syntegra, and the Bill and Melinda Gates Foundation an artificial intelligence-enabled synthetic data generator that converts clinical data of any kind into equivalent versions that don't expose sensitive patient-identifying details is being put to use as a component of the National Institutes of Health-steered National COVID Cohort Collaborative.

— NextGov, Brandi Vincent: January 14, 2021

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AI and ML – Help Change the Course of the Pandemic and Make Money

N3C has a higher potential for business to partner with research in an agile rapid manner than do most research infrastructures. A combination of cloud computing, open data, and hosting ensures that your business can utilize the N3C Data Enclave. This cloud-based platform has taken research from an expensive system that we each need to implement into an inexpensive solution that we can all access. The solution ensures the business will eliminate the traditional costs and time associated with large, expensive research facilities. It allows business to do what it does best: rapidly innovate and leverage data to deploy solutions at facilities around the nation.

— HIStalk, Jeremy Harper: January 6, 2021

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Regenstrief, Indiana CTSI, Datavant partner on NIH national COVID-19 data effort

Regenstrief Institute, Indiana Clinical and Translational Sciences Institute (CTSI) and Datavant are supporting the National Institutes of Health (NIH) in a national effort to securely gather data to help scientists understand and develop treatments for COVID-19. Supported by a contract from the NIH, Regenstrief will serve as the national project’s Honest Data Broker, using specialized technologies and processes to create more complete and informative data sets. Specifically, the Honest Data Broker will handle requests for data and manage a process referred to as “privacy-preserving record linkage” (PPRL) using technologies and approaches that help ensure N3C data are shared safely, securely and privately, all in compliance with HIPAA standards.

— Regenstrief Institute: November 9, 2020

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MMCRI Joins National COVID Data Research Collaborative

Maine Medical Center’s Research Institute (MMCRI) has received a $203,000 grant sub-award from West Virginia University for a National Institute of General Medical Sciences (NIGMS) initiative to create a centralized national data platform that scientists can use to study COVID-19 and identify potential treatments.

— Maine Health, Caroline Cornish: October 19, 2020

People in Network

The Ambitious Effort to Piece Together America's Fragmented Health Data

From the early days of the COVID-19 pandemic, epidemiologist Melissa Haendel knew that the United States was going to have a data problem. There didn’t seem to be a national strategy to control the virus, and cases were springing up in sporadic hotspots around the country. The solution Haendel and CD2H landed on sounds simple: a centralized, anonymous database of health records from people who tested positive for COVID-19.

— The Verge, Nicole Wetsman: October 19, 2020


UK Joins National Data Collaborative for COVID-19 Research

The University of Kentucky' Center for Clinical and Translational Science (CCTS) is partnering with the National Center for Advancing Translational Science (NCATS), the National Center for Data to Health, and around 60 other clinical institutions affiliated with the NCATS Clinical and Translational Science Awards Program to leverage big data in the fight against COVID-19.

— University of Kentucky, Mallory Powell: July 8, 2020

Collaboration Hands

Manifesting and empowering data sharing for COVID-19 and beyond

Two favorite quotes are at the top of my mind this month: "Much is known, but unfortunately in different heads." and "Be the change you want to see in the world." The first quote reminds us that the answers to the most complex questions require bringing together puzzle pieces held by different people — and that the more diverse those people are, the more complex the questions we can answer.

— NCATS, Christopher P. Austin, MD: June 30, 2020

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Scripps Research joins national effort to develop medical record analytics to improve COVID-19 patient outcomes

Data scientists at Scripps Research are applying their extensive expertise in informatics to a nationwide effort to enable the research community to access and analyze medical record data from patients diagnosed with COVID-19. The rich data stored in electronic medical records may offer clues to better care for those diagnosed with coronavirus disease.

— Scripps Research Institute: June 25, 2020

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OSU helping to drive National Institutes of Health effort to harness analytics in COVID-19 fight

Oregon State University is helping the National Institutes of Health to harness the power of big data in the fight against COVID-19, the disease caused by the novel coronavirus SARS-CoV-2.

— Oregon State University Newsroom: June 22, 2020

Medical Workers

NIH launches platform for nationwide coronavirus patient data

The National Institutes of Health (NIH) announced Monday a new “centralized, secure enclave” of medical record data from coronavirus patients diagnosed nationwide. The analytics platform is part of a new effort called the National COVID Cohort Collaborative (N3C), to help scientists analyze data to understand the disease and develop treatments, according to a press release.

— Fox News, Kayla Rivas: June 16, 2020

Medical Supplies

NIH launches national database to collect medical information from Covid-19 patients

The National Institutes of Health has launched a national database to collect medical information on coronavirus patients in the United States. 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.

— CNN, Shelby Lin Erdman: June 15, 2020


NIH launches analytics platform to harness nationwide COVID-19 patient data to speed treatments

The National Institutes of Health has launched a centralized, secure enclave to store and study vast amounts of medical record data from people diagnosed with coronavirus disease across the country. It 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.

— NIH: June 15, 2020


Gathering big data to accelerate the COVID-19 fight

Scientists creating secure, central database of electronic health records from coronavirus patients

— OHSU, Franny White: May 26, 2020