Data
Driven

PCORnet® data are real-world data, and our Network is an expert at delivering high-quality results and accelerated timelines to improve lives.

Real-World Data

Our 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.

Structured
Curation

Data reside in our 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.

High-Quality
Data

Given the requirements of our Common Data Model and data curation, our Network can identify and mitigate issues that are inherent with real-world data (linking EHRs, health plan data, and patient-reported outcomes).

Breadth &
Connectedness

Drawing from EHRs for millions of Americans along with health plan data, we are unique in our scope. Our ability to connect back to patients makes us an ideal platform for pragmatic trials and observational research.

Privacy is Paramount

PCORnet’s distributed Network architecture enables secure data analysis and transfer while protecting patient privacy.

Research Networks
Safeguard Patient Data

PCORnet Clinical Research Networks maintain data on the patients they care for and research participant data locally behind their firewalls protected under HIPAA. Clinical Research Networks provide de-identified information in response to queries to answer important scientific questions to advance care while maintaining stringent privacy protections.

Minimum Necessary
Information Shared

Our distributed analytic approach enables sharing only the minimum necessary information needed to answer a question. Researcher’s queries are sent to the data, rather than data being sent to researchers.

Secure
Transfer

Queries and responses are enabled via our secure Distributed Research Network Query Portal based on the open-source PopMedNet software platform. The system includes strong governance, role-based access controls, and auditing.

Our Common Data Model

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

Clinical Research Network Data – By the Numbers

66
million patients eligible for an observational study
30
million patients eligible for a clinical trial
547
million clinical encounters in the past two years
6
billion lab tests linked to LOINC codes
1.4
billion medication orders mapped to a RxNorm CUI

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.

Descriptive Analytics

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
a statin prescription
heart failure diagnosis
an opioid prescription
a Hepatitis diagnosis
and
no diagnosis of heart disease
concurrent comorbidities
no prior cancer diagnosis
no prior liver fibrosis diagnosis
between
2016-2017
2015-2016
2010-2017
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.