Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data.

ABSTRACT:

Objective

To synthesize data quality (DQ) dimensions and assessment methods of real-world data, especially electronic health records, through a systematic scoping review and to assess the practice of DQ assessment in the national Patient-centered Clinical Research Network (PCORnet).

Materials and methods

We started with 3 widely cited DQ literature-2 reviews from Chan et al (2010) and Weiskopf et al (2013a) and 1 DQ framework from Kahn et al (2016)-and expanded our review systematically to cover relevant articles published up to February 2020. We extracted DQ dimensions and assessment methods from these studies, mapped their relationships, and organized a synthesized summarization of existing DQ dimensions and assessment methods. We reviewed the data checks employed by the P

SUBMITTER: Bian J 

PROVIDER: S-EPMC7727392 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature