ID

19201

Description

PCORnet Common Data Model (CDM) Death PCORnet Common Data Model (CDM) A patient-centered approach to building an agile research platform is at the heart of PCORnet, and data serves as the backbone. Considering the large number and diverse types of organizations that are part of PCORnet, we all benefit from having a streamlined, efficient way to use the data produced by these organizations. Enter the PCORnet Common Data Model. The Common Data Model (or CDM) is a way of organizing data into a standard structure. The approach PCORnet is using to do this mirrors the approaches used by other large national research consortia. Each PCORnet partner network maps data to the same consistent format (i.e., with the same variable name, attributes, and other metadata). By undertaking this step, we create a platform that enables much more rapid responses to research-related questions. Contrast this with having to transform and prepare data each time we want to ask a new research question, and the efficiencies become clear. The PCORnet CDM is based on the FDA Sentinel Initiative Common Data Model (www.sentinelsystem.org) and has been informed by other distributed initiatives such as the Health Care Systems Research Network, the Vaccine Safety Datalink, various AHRQ Distributed Research Network projects, and the ONC Standards & Interoperability Framework Query Health Initiative. The PCORnet CDM leverages standard terminologies and coding systems for healthcare (including ICD, SNOMED, CPT, HCPSC, and LOINC) to enable interoperability with and responsiveness to evolving data standards. The PCORnet CDM (like other parts of PCORnet) will grow and evolve. Version 1.0 focused on a set of data items that are frequently available. Subsequent versions build in additional data elements which are analytically important for patient-centered outcomes research and feasible to standardize across sites.

Link

www.sentinelsystem.org

Keywords

Versions (3)

1. 12/12/16 12/12/16 -
2. 7/1/19 7/1/19 -
3. 3/30/20 3/30/20 -

Uploaded on

December 12, 2016

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