Establishing a Data Quality Baseline in the AKTIN Emergency Department Data Registry – A Secondary Use Perspective
Studies in health technology and informatics, vol. 294, pp. 209–213
Abstract
Secondary use of clinical data is an increasing application that is affected by the data quality (DQ) of its source systems. Techniques such as audits and risk-based monitoring for controlling DQ often rely on source data verification (SDV). SDV requires access to data generating systems. We present an approach to a targeted SDV based on manual input and synthetic data that is applicable in low resource settings with restricted system access. We deployed the protocol in the DQ management of the AKTIN Emergency Department Data Registry. Our targeted approach has shown to be feasible to form a DQ baseline that can be used for different DQ monitoring processes such as the identification of different error sources.
Authors 7
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Lucas Triefenbach corresponding Aachen Institute of Medical Informatics Medical Faculty Corresponding Author Faculty of Medicine
Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
Corresponding Author, Lucas Triefenbach, Institute of Medical Informatics, Faculty of Medicine, RWTH-Aachen, Pauwelsstr. 30, 52074 Aachen Germany,
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Otto-von-Guericke-Universität Magdeburg
Affiliation as printed
Department of Trauma Surgery, Otto von Guericke University, Magdeburg, Germany
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Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
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Otto-von-Guericke-Universität Magdeburg
Affiliation as printed
Department of Trauma Surgery, Otto von Guericke University, Magdeburg, Germany
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Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
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