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Updated: May 8, 2025

Establishment of a Clinic-based Biorepository

Establishment of a Clinic-based Biorepository

Published on: May 29, 2017

Building a Foundation for High-Quality Health Data: Multihospital Case Study in Belgium.

Jens Declerck^1,2, Bert Vandenberk³, Mieke Deschepper⁴

¹Department of Public Health and Primary Care, Unit of Medical Informatics and Statistics, Ghent University, Ghent, Belgium.

JMIR Medical Informatics

|December 27, 2024

Summary

This study assessed health data quality in 7 Belgian hospitals, finding variable height completeness but high consistency for both height and weight. Sharing best practices can improve data quality across healthcare organizations.

Keywords:

Belgium EHR case study data quality data quality assessment data quality dimensions data quality framework electronic health records fit for purpose framework health data hospital secondary use variability

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Area of Science:

Health Informatics
Data Quality Management
Clinical Data Analysis

Background:

Data quality is crucial for reliable health data in primary and secondary uses.
Assessing data quality at the source is essential before secondary data utilization.
Systematic methods are needed to evaluate key data quality dimensions.

Purpose of the Study:

To assess the completeness and consistency of height and weight data in 7 Belgian hospitals.
To identify obstacles faced by hospitals in sharing and improving data quality standards.

Main Methods:

Examined height and weight data from 2021-2022 across surgical, geriatric, and pediatric departments in 7 hospitals.
Focused on the data quality dimensions of completeness and consistency.

Main Results:

Height completeness varied significantly across hospitals and departments, particularly in surgical and geriatric wards.
Weight data demonstrated uniformly high completeness scores across all settings.
Consistency of both height and weight data recording was uniformly high across all departments and hospitals.

Conclusions:

A collaborative effort among Belgian hospitals facilitated this data quality assessment.
Sharing knowledge and best practices holds potential for enhancing data quality across healthcare organizations.
This study provides a foundation for future research in health data quality improvement.