PCORnet® data is real-world data, and the Network is an expert at delivering high-quality results at accelerated timelines to improve lives.
PCORnet’s data draws from an unparalleled number of electronic health records (EHRs) with growing links to patient-reported and health plan data to create a powerful, standard data set that facilitates large-scale, multi-site research.
Data reside in PCORnet’s Clinical Research Networks and are accessed through a rigorously curated query process that results in streamlined data for easier and lower-cost analysis than traditional methods.
Given the requirements of PCORnet’s Common Data Model and data curation, the Network can identify and mitigate issues that are inherent with real-world data (linking EHRs, health plan data, and patient-reported outcomes).
BREADTH AND CONNECTEDNESS
Drawing from EHRs for millions of Americans along with health plan data, PCORnet is unique in scope. The ability to connect back to patients makes PCORnet an ideal platform for pragmatic trials and observational research.
The Common Data Model, developed by PCORnet, is a key component of our research infrastructure and central to our work. PCORnet’s Common Data Model standardizes millions of data points from a variety of clinical information systems into an innovative common format that can be used for specified research projects.
*PCORnet Data Resources can be found at the bottom of the webpage
Leverage Our Data
Using PCORnet’s rich data and extensible tools, researchers can ask common questions across all Clinical Research Networks in a way that ensures reliability, efficiency, and accuracy.
Site Selection & Cohort Identification
Obtain cohort patient counts to assess data availability and examine characteristics.
Describe a patient pool or cohort by key demographics, comorbidities, and vitals, providing a detailed breakdown of these characteristics.
Data Characterization & Quality Assessment
Examine, in detail, any Common Data Model element to assess availability, examine characteristics, and provide information to identify and address issues amongst a specific group of patients.
Exposure & Outcome Assessment
Identify key exposures and subsequent outcomes of interest.
Answer Questions Rapidly
The richness of our data, paired with the connectedness of our Clinical Research Networks and the sophistication of our tools, allows answers to your questions to be provided within weeks.
Identify and describe patients with an opioid prescription and no prior cancer diagnosis between 2010-2017.
Identify and describe patients with a statin prescription and no diagnosis of heart disease between 2016-2017.
Identify and describe patients with heart failure diagnosis and concurrent comorbidities between 2015-2016.
Identify and describe patients with a Hepatitis diagnosis and no prior liver fibrosis diagnosis between 2013-2015.
PCORnet Data Resources
Our Network has developed policies and other critical documentation to ensure the quality, facilitate the accessibility, and govern the use of our data and the Common Data Model.
Additional information and guidance related to the Common Data Model can be found on the PCORnet GitHub page.
PCORnet Common Data Model v4.1 Parseable Spreadsheet Format (15 May 2018)
PCORnet Common Data Model v4.1 Specification (5 May 2018)
PCORnet Common Data Model v5.0 Parseable Spreadsheet Format (22 Jul 2019)
PCORnet Common Data Model v5.0 Specification (16 Jul 2019)
PCORnet Common Data Model Value Set Reference File v1.5 (5 Dec 2018)
PCORnet Common Data Model Value Set Reference File v1.6 (16 Jul 2019)
PCORnet Data Checks v6 (Effective Jan 2019)