PCORnet Releases Data on Demographics, Conditions of Interest

In a progress report, the national Patient-Centered Clinical Research Network (PCORnet) said that as early as spring 2017 researchers would be able to partner with PCORnet to query health records and other data from millions of individuals represented in PCORnet’s Common Data Model.
Nov. 3, 2016
3 min read

In a progress report, the national Patient-Centered Clinical Research Network (PCORnet) said that as early as spring 2017 researchers would be able to partner with PCORnet to query health records and other data from millions of individuals represented in PCORnet’s Common Data Model.

Founded in 2014 as an innovative initiative of the Patient-Centered Outcomes Research Institute, PCORnet aims to speed the pace and quality of clinical research in the United States. It has released early data on its patient demographics and conditions of interest.

 “We are thrilled to publicly share a first look at the research scope of PCORnet, a network that promises to transform the landscape of clinical research through large amounts of health data and patient partnerships,” said Rachael Fleurence, Ph.D., chair of PCORnet’s executive committee, and PCORI program director, in a prepared statement. “The achievement of this major milestone is the result of countless individuals who have all shared in our dedication to unite people, clinicians, and health systems in a way that drives faster, real-world insights to help people make informed healthcare decisions.”

PCORnet represents millions of Americans across more than 100 healthcare organizations. The demographic summary includes data on up to 41 million individuals who received care at a PCORnet network partner in 2014, stratified by their sex, race, and age. It also details the number of individuals who experienced a medical encounter in 2014 in which they were diagnosed with one of nine conditions of interest based on diagnosis codes for respiratory conditions, selected malignancies, myocardial infarction, stroke, rheumatoid arthritis, ulcerative colitis, hypertension, renal disease, and influenza/pneumonia, also stratified by sex, race, and age.

 “The enthusiasm for PCORnet underscores the pressing need for a national evidence generation system that puts the interests of people and healthcare stakeholders at the forefront,” said Adrian Hernandez, M.D., M.H.S., co-principal investigator of the PCORnet Coordinating Center, in a statement. “Today’s public announcement of our initial network demographics and conditions is an important milestone that puts us one step closer to our goal of facilitating timely, meaningful answers to people’s everyday health questions.”

The PCORnet team began its work by creating a Distributed Research Network that is comprised of Patient-Powered Research Networks that are motivated to play an active role in clinical research and Clinical Data Research Networks representing health organizations partnering to conduct research as a network. With its governance structure in place, PCORnet’s available health data is currently being standardized via the common data model for research use.

PCORnet allows network partners to respond to research queries and return aggregate data to the PCORnet Coordinating Center for analysis to protect privacy first.

PCORnet also is turning to its next major effort: the use of a PCORnet-wide single Institutional Review Board (IRB) approach to significantly reduce the time and expense of conducting multisite studies within the network. This effort will enable PCORnet institutions to use the NCATS Streamlined, Multisite, Accelerated Resources for Trials (SMART) IRB Reliance Platform from the National Institutes of Health instead of the traditional approach of using local IRBs for each research site. PCORnet is pilot-testing the SMART IRB approach in partnership with INVESTED, a PCORnet-designated study of high-dose influenza vaccine. This pilot and related evaluation will inform the adoption of a single IRB approach within PCORnet in 2017.

About the Author

David Raths

David Raths

David Raths is a Contributing Senior Editor for Healthcare Innovation, focusing on clinical informatics, learning health systems and value-based care transformation. He has been interviewing health system CIOs and CMIOs since 2006.

 Follow him on Twitter @DavidRaths

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