A longitudinal analysis of data quality in a large pediatric data research network.

ABSTRACT:

Objective

PEDSnet is a clinical data research network (CDRN) that aggregates electronic health record data from multiple children's hospitals to enable large-scale research. Assessing data quality to ensure suitability for conducting research is a key requirement in PEDSnet. This study presents a range of data quality issues identified over a period of 18 months and interprets them to evaluate the research capacity of PEDSnet.

Materials and methods

Results were generated by a semiautomated data quality assessment workflow. Two investigators reviewed programmatic data quality issues and conducted discussions with the data partners' extract-transform-load analysts to determine the cause for each issue.

Results

The results include a longitudinal summary of 2182 data qual

SUBMITTER: Khare R 

PROVIDER: S-EPMC6259665 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature