Expected Concepts Present


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PEDSnet

Abstract

A network data quality check which computes the proportion of patients with evidence of a specified concept. The proportion is computed using the number of patients in the cohort with the concept of interest as the numerator, and all patients meeting the specified cohort definition as the denominator.

Results of this check for the current data cycle can be explored on the PEDSnet Data Quality Dashboard. Data quality results for previous data cycles have been archived in the Expected Concepts Present Network Results collection.

Probe

Clinical Assessment

Access Package

Visualization Output

NOTE: The visualizations are NOT part of the packaged code. This description applies to the visualizations available on the PEDSnet Data Quality Dashboard.

These results are visualized as a bar graph with one facet per selected concept, proportion of patients in the cohort with the concept along the X axis, and site along the Y axis.

Raw Output

This check produces a raw data output containing 9 columns of data:

Column Data Type Definition
total_pt_ct numeric the total number of patients in the cohort
concept_pt_ct numeric the number of patients in the cohort with the concept of interest
concept_group numeric the concept being evaluated
prop_with_concept numeric the proportion of patients with the concept of interest
site character the name of the site being targeted
database_version character the database version from which the counts originated
check_type character a short string identifier for the module
check_name character a short string identifier for the check
cohort_denom character a description of the cohort used to evaluate the concept

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Related Data Quality Result

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Related Code

Network Data Quality
Created:2025-09Affiliation:PEDSnet Data Coordinating Center
The [Network Data Quality (NDQ)](https://pedsnet.github.io/ndq/) package contains several data quality modules intended to evaluate the overall condition of the data in a clinical research network. These modules, which cover a broad range of data quality domains from conformance to plausibility, are flexible and can be configured to execute checks specific to desired use cases in both the OMOP and PCORnet common data models (CDMs).

##### [View pkgdown summary here.](https://pedsnet.github.io/ndq/)

Related Data Quality Check

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Creative Commons license

Except where otherwised noted, this item's license is described as a CC-BY Attribution 4.0 license.

Cite this Data Quality Check

Wieand, K. & Dickinson, K. (2023, December). Expected Concepts Present. [D Q Check]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-479