Exploring completeness in clinical data research networks with DQe-c.

ABSTRACT:

Objective

To provide an open source, interoperable, and scalable data quality assessment tool for evaluation and visualization of completeness and conformance in electronic health record (EHR) data repositories.

Materials and methods

This article describes the tool's design and architecture and gives an overview of its outputs using a sample dataset of 200 000 randomly selected patient records with an encounter since January 1, 2010, extracted from the Research Patient Data Registry (RPDR) at Partners HealthCare. All the code and instructions to run the tool and interpret its results are provided in the Supplementary Appendix.

Results

DQe-c produces a web-based report that summarizes data completeness and conformance in a given EHR data repository through descriptive

SUBMITTER: Estiri H 

PROVIDER: S-EPMC6481389 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature