DQAstats

DQAstats performs comprehensive data quality assessment of electronic health record (EHR) data to evaluate and standardize the suitability of hospital routine data for research use in research data repositories.

Key Features:

• Standardized DQA Framework: Employs a harmonized DQA framework aligned with methodologies proposed by Kahn et al.
• Integration with Metadata Repository (MDR): Links common data element definitions stored in an MDR to represent database-specific information for systematic DQA checks.
• Automated Evaluation: Automates DQA checks and evaluation to reduce manual interpretation errors.
• Scalability and Adaptability: Uses a structured representation of logical relations between data elements to model plausibility statements and facilitate integration of new data elements across databases and data models.
• Enhanced Data Quality Checks: Aligns checks with harmonized DQA terminology and supports extending MDR data element definitions for application across additional MIRACUM databases.

Scientific Applications:

• Observational studies with EHR data: Provides a framework to assess and document data quality for research analyses using hospital routine data.
• MIRACUM consortium data integration: Applied across MIRACUM partners to integrate DQA into data integration center infrastructures and evaluate multi-center datasets.

Methodology:

The package applies a harmonized DQA framework aligned with Kahn et al., links common data element definitions from a Metadata Repository (MDR), performs automated DQA evaluations, models plausibility statements via structured logical relations between data elements, and aligns checks with harmonized DQA terminology while supporting extension of MDR data element definitions.