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.

Rapid and Collaborative Response to COVID-19

Researchers responded rapidly and collaboratively to answer COVID-19 questions by using PCORnet resources including a flexible coordinating center, the PCORnet® Common Data Model, research-ready networks, and existing research studies that pivoted quickly. Researchers can use this resource to demonstrate how the resources of PCORnet can be used for studies that require fast answers.

Access the resource here.

How Common are New Symptoms and Conditions After COVID-19? Results from PCORnet

Summary of the CDC’s research on symptoms experienced more than 4 weeks after first being infected with the virus that causes COVID-19. Researchers studied data from electronic health records of 1.8 million adults and 300,000 children from 42 PCORnet network partners.

Access the “Long COVID” Research Summary.

NORC Data Convenings Webinar: Expanding Social Determinants of Health Data across PCORnetExpanding Social Determinants of Health Data across PCORnet

The webinar discussed opportunities for social determinants of health (SDOH) data within the PCORnet data infrastructure. Objectives included: discussing the current status of SDOH data collection by PCORnet Network Partners; opportunities to optimize accessibility and availability of individual-, population-, and community-based SDOH data to support PCORnet research; and engaging stakeholders on short- and long-term infrastructure priorities to enhance SDOH data capture for network-wide research.

Access the Social Determinants of Health Data across PCORnet resources here.

HERO Data Dictionary

Use this resource to review information, content, format, and structure of the HERO (Healthcare Worker Exposure Response & Outcomes) Research database and the relationship between its elements.

Access the resource here.

Daquery

The PaTH Clinical Research Network (CRN) Department of Bio-Medical Informatics team developed Daquery a tool used to deploy code, as well as to automate and archive network-wide Quality Assurance queries. The code is publicly available and may be useful to support other CRNs data processes.

Access the Daquery resource here.

Non-technical PCORnet Common Data Model Introduction

This slide deck was created by Kellie Walters, MPH, UNC-Chapel Hill, part of the STAR Network, to introduce the PCORnet Common Data Model to patient stakeholders. The slides can be repurposed for any non-technical audience.

Access the resource here.