Improving a Secondary Use Health Data Warehouse: Proposing a Multi-Level Data Quality Framework

Area of Science:

• Health Informatics
• Data Management
• Information Science

Background:

• Data quality frameworks have evolved significantly in IT and healthcare.
• Current frameworks inadequately address the context of data use for secondary purposes.

Purpose of the Study:

• To refine and expand existing data quality frameworks.
• To incorporate contextual requirements for data assessment.
• To ensure data quality for secondary health data use.

Main Methods:

• Literature review to identify relevant research.
• Refinement and expansion of an existing data quality framework.
• Application of synthesized concepts to a health data warehouse.

Main Results:

• A novel two-level data quality framework was developed.
• The framework maintains intrinsic data value.
• The framework indicates data suitability for specific research questions.

Conclusions:

• Existing frameworks are often one-dimensional and inflexible.
• This work systematically addresses framework shortcomings.
• Contextualized data quality management is crucial for secondary health data use.