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Harmonized Data Quality Assessments on Emergency Data Across Multiple Hospitals.
Kais Tahar1, Wiebke Schirrmeister1, Saskia Ehrentreich1
1Institute for Public Health in Acute Medicine, University Medicine Magdeburg, Magdeburg, Germany.
Studies in Health Technology and Informatics
|May 23, 2026
Summary
Data quality assessments of electronic health records (EHR) from 52 emergency departments (EDs) found completeness issues in 64,536 cases. This research supports EHR data use in clinical research and public health initiatives.
Area of Science:
- Health Informatics
- Clinical Data Management
- Public Health Research
Background:
- Electronic Health Records (EHR) are crucial for clinical research and public health.
- Standardized data quality assessments are needed for reliable EHR data utilization.
- Emergency Departments (EDs) generate high-volume, complex data streams.
Purpose of the Study:
- To perform harmonized data quality (DQ) assessments on EHR data from multiple hospital EDs.
- To evaluate the completeness and uniqueness of six key data items across 52 EDs.
- To identify data gaps and establish benchmarks for EHR data quality.
Main Methods:
- Automated evaluation of five DQ indicators and related parameters.
- Analysis of 1,420,198 cases across six data items.
- Assessment conducted across 52 diverse EDs.
Main Results:
- Identified 64,536 data quality issues, exclusively related to completeness.
- Seven leading EDs achieved perfect scores (100%) across all DQ indicators.
- Ten EDs scored below 50% for daily data collection completeness due to data gaps.
Conclusions:
- The study demonstrates effective methods for assessing EHR data quality in ED settings.
- Results highlight significant variations in data completeness across EDs.
- Findings support the secondary use of EHR data for clinical research and public health by providing DQ benchmarking tools.
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