Developing quality assessment indicators of Clinical data

Corresponding author: Lv Xu-dong, lvxd@zju.edu.cn

DOI: 10.12201/bmr.202010.00836

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  Abstract: This study aims to develop comprehensible and implementable indicators for data quality assessment (DQA) of clinical data. We collected fragmented DQA knowledge from quality-related literature and data error reports of clinical data applications, and summarized them as 43 distinct data quality indicators of 5 quality dimensions: completeness, timeliness, consistency, plausibility, and accuracy. We analyzed each indicator and described details of relevant information, such as methods of implementation and suitable situations. Using related national quality standard of electronic health records data as reference, we compared utility of our DQA indicators with other study. The results indicate the indicators proposed in this study are possible to facilitate the standardization of the DQA.

  Key words: Data quality assessment; Data error report; Quality dimensions; Automatic; Quality assessment indicators

  Submit time: 30 October 2020

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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