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ABSTRACT: Background
Data quality is fundamental to maintaining the trust and reliability of health data for both primary and secondary purposes. However, before the secondary use of health data, it is essential to assess the quality at the source and to develop systematic methods for the assessment of important data quality dimensions.Objective
This case study aims to offer a dual aim-to assess the data quality of height and weight measurements across 7 Belgian hospitals, focusing on the dimensions of completeness and consistency, and to outline the obstacles these hospitals face in sharing and improving data quality standards.Methods
Focusing on data quality dimensions completeness and consistency, this study examined height and weight data collected from 2021 to 2022 withi
SUBMITTER: Declerck J
PROVIDER: S-EPMC11683741 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature