Using the Data Quality Dashboard to Improve the EHDEN Network

Federated networks of observational health databases have the potential to be a rich resource to inform clinical practice and regulatory decision making. However, the lack of standard data quality processes makes it difficult to know if these data are research ready. The EHDEN COVID-19 Rapid Collabo...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences 2021-12, Vol.11 (24), p.11920
Main Authors: Blacketer, Clair, Voss, Erica A., DeFalco, Frank, Hughes, Nigel, Schuemie, Martijn J., Moinat, Maxim, Rijnbeek, Peter R.
Format: Article
Language:English
Subjects:
Clinical medicine
Collaboration
Completeness
Coronaviruses
COVID-19
Dashboards
Data models
data quality
Decision making
Design specifications
EHDEN
healthcare data
Medical records
Medical research
OMOP CDM
Primary care
Quality standards
real world data
RWD
Standard data
Standardization
Values
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Federated networks of observational health databases have the potential to be a rich resource to inform clinical practice and regulatory decision making. However, the lack of standard data quality processes makes it difficult to know if these data are research ready. The EHDEN COVID-19 Rapid Collaboration Call presented the opportunity to assess how the newly developed open-source tool Data Quality Dashboard (DQD) informs the quality of data in a federated network. Fifteen Data Partners (DPs) from 10 different countries worked with the EHDEN taskforce to map their data to the OMOP CDM. Throughout the process at least two DQD results were collected and compared for each DP. All DPs showed an improvement in their data quality between the first and last run of the DQD. The DQD excelled at helping DPs identify and fix conformance issues but showed less of an impact on completeness and plausibility checks. This is the first study to apply the DQD on multiple, disparate databases across a network. While study-specific checks should still be run, we recommend that all data holders converting their data to the OMOP CDM use the DQD as it ensures conformance to the model specifications and that a database meets a baseline level of completeness and plausibility for use in research.
ISSN:2076-3417
2076-3417
DOI:10.3390/app112411920