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.
Data Curation
Pertaining to the management of data throughout its lifecycle, from creation and initial storage, its use in PCOR, to the time when it is archived for posterity
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.
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.
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.
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.
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.
PCORnet Common Data Model
The PCORnet Common Data Model, developed by the PCORnet community, standardizes millions of data points from the Network’s diverse clinical information systems into a common format. As a result, users of PCORnet can ask the same question simultaneously to hundreds of disparate systems and receive a clear, reliable answer.
PaTH: How EHR Data is Collected and Protected via a Chocolate-Making Analogy
The PaTH Clinical Research Network (CRN) developed this guide to explain how electronic health record (EHR) data is captured, protected, and utilized for research purposes via a chocolate-making analogy.
PaTH to Health: Diabetes, Chocolate Making & Data Extraction Video
This video on electronic health data utilizes the metaphor of making chocolate to clearly lay out how electronic health records can be used to anonymize data. It is a useful tool for clearly explaining EHRs and the privacy inherent in building a research network.