INSIGHT Data Visualization Templates

The INSIGHT Data Visualization Template provides templates of data visualizations that capture sex, age, ethnicity, and race breakdown of a CRN’s patient cohort. A list of data elements available to request is also available. These slides can be reformatted to suit a CRN’s available data elements and highlight strengths of the patient cohort.

Access the Data Visualization Template here.

Characterizing Telehealth Visits Across Clinical Research Networks Participating in PCORnet®, The National Patient-Centered Clinical Research Network

This query of PCORnet® data resources explores the use of telehealth services among patients at partner sites. The query results aim to showcase how the PCORnet infrastructure can identify disparities in telehealth delivery, understand trends pre- and post-COVID-19, and illustrate how underserved populations managed chronic conditions using telehealth services throughout the pandemic.

Access the telehealth query report here.

Intellectual and Developmental Disabilities Public Query Report

This query of PCORnet data resources describes a population of patients with intellectual and developmental disabilities (IDD) with a healthcare encounter at a partner site. This query is the largest known, national-scale descriptive analysis of IDD populations using electronic health record (EHR) data. Query results inform how PCORnet can be used for patient-centered comparative effectiveness research (CER) research on IDD and to inform opportunities to enhance PCORnet IDD data resources.

Access the Query Report.

Data Study Flow Resources – Basic

This diagram shows a basic data flow in a study powered by PCORnet® and is intended for sites to include in their IRB application. Using this document, project teams can ensure consistency in IRB applications and speed IRB submission by providing a template for sites to quickly fill in the blanks based on data flow in their study.

Access the Basic Data Study Flow Diagram.

Data Study Flow Resources – Complex

This diagram shows a complex data flow in a study powered by PCORnet® and is intended for sites to include in their IRB application. Using this document, project teams can ensure consistency in IRB applications and speed IRB submission by providing a template for sites to quickly fill in the blanks based on data flow in their study.

Access the Complex Data Study Flow Diagram.

Data Sharing Agreement

The Data Sharing Agreement (DSA) is an approved PCORnet template for use by research institutions to speed prep-to-research queries. The DSA defines the standard terms to which the Coordinating Center for PCORnet® will adhere when data are sent from the Network Partners to the Coordinating Center. The DSA also contains a template showing the flow of data through the queries.

Access the Data Sharing Agreement here.

GPC Reusable Observable Study Environment (GROUSE)

GPC Reusable Observable Study Environment (GROUSE): GROUSE is a Greater Plains Collaborative (GPC) project (as well as name of the data enclave) to obtain health insurance claims from the Center for Medicare and Medicaid Services through the Research Data Assistance Center (ResDAC). GPC currently have 2011-2017 Medicare data and 2011-2012 Medicaid data from 9 states in the GPC.

Access GPC’s GROUSE here.

Ready, Set, Go! Guidelines and Tips For Collecting Patient Data on Sexual Orientation and Gender Identity

This guide can be used to help successfully collect sexual orientation and gender identity (SOGI) data and document the data into the electronic health record (EHR). If you already have a system, but have encountered challenges and questions, this guide can help you address them. Even if your system is working smoothly, you will find resources and recommendations here that will help you move to the next level of data collection and analysis.

Access the guide here.

Data Science Analyst Training

The PEDSnet Data Science Analyst course provides training on the structure and use of the PEDSnet CDM for research and approaches to study-specific data quality assessment.

Access the Data Science Analyst course.