The INSIGHT Data Visualization Template provides templates of data visualizations that capture the demographic 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.
Data Resource
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 populations managed chronic conditions using telehealth services throughout the pandemic.
GPC Tumor Table Transformation and Linkage
The PCORnet tumor table contains data from hospital tumor registries that are formatted according to standards developed by the North American Association of Certified Cancer Registrars (NAACCR). All hospitals that are accredited by the American College of Surgeons Commission on Cancer employ trained registrars to abstract medical record data according to these specifications. Researchers can use this resource transform their own tumor registries.
Access the GPC Tumor Table Transformation and Linkage
Structured fields for demographic, clinical, and treatment observations are included, and the data are considered to be high quality. GPC tumor table documentation includes specifications for data formats, quality checks, and relationships with other CDM tables. This standardization allows linkages between NAACCR data and the other CDM tables. It also allows queries of the NAACCR data to be quickly deployed across the network.
GPC sites have already transformed their hospital tumor registry data into the PCORnet TUMOR table format. Table specifications can be found here. A sample ETL code and workflow are attached for references.
To assess the quality and quantity of tumor registry data found in the TUMOR table at GPC sites, a quality control script was created to be run against the newly created TUMOR tables. QC reports are being used for quality evaluation.
Intellectual and Developmental Disabilities Data 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.
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.
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.
INSIGHT Data Dictionary
The INSIGHT Data Dictionary provides a detailed look at the data elements in INSIGHT’s Central Repository, including their format and content.
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.
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.
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.