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Journal article
Developing a systematic approach to assessing data quality in secondary use of clinical data based on intended use
Learning health systems, v 6(1), pp e10264-n/a
Jan 2022
PMID: 35036548
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Introduction
Secondary use of electronic health record (EHR) data for research requires that the data are fit for use. Data quality (DQ) frameworks have traditionally focused on structural conformance and completeness of clinical data extracted from source systems. In this paper, we propose a framework for evaluating semantic DQ that will allow researchers to evaluate fitness for use prior to analyses.
Methods
We reviewed current DQ literature, as well as experience from recent multisite network studies, and identified gaps in the literature and current practice. Derived principles were used to construct the conceptual framework with attention to both analytic fitness and informatics practice.
Results
We developed a systematic framework that guides researchers in assessing whether a data source is fit for use for their intended study or project. It combines tools for evaluating clinical context with DQ principles, as well as factoring in the characteristics of the data source, in order to develop semantic DQ checks.
Conclusions
Our framework provides a systematic process for DQ development. Further work is needed to codify practices and metadata around both structural and semantic data quality.
Metrics
Details
- Title
- Developing a systematic approach to assessing data quality in secondary use of clinical data based on intended use
- Creators
- Hanieh Razzaghi - Children's Hospital of PhiladelphiaJane Greenberg - Drexel UniversityL. Charles Bailey - Children's Hospital of Philadelphia
- Publication Details
- Learning health systems, v 6(1), pp e10264-n/a
- Publisher
- Wiley
- Number of pages
- 10
- Grant note
- Patient‐Centered Outcomes Research Institute (RI‐CRN‐2020‐007)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000646279800001
- Scopus ID
- 2-s2.0-85104961275
- Other Identifier
- 991019168747604721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Health Policy & Services