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First published July 23, 2002 as JAMIA PrePrint; doi:10.1197/jamia.M1087
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Journal of the American Medical Informatics Association 9:600-611 (2002)
© 2002 American Medical Informatics Association

Model Formulation

Defining and Improving Data Quality in Medical Registries: A Literature Review, Case Study, and Generic Framework

Danielle G. T. Arts, MSc, Nicolette F. de Keizer, PhD and Gert-Jan Scheffer, MD, PhD

Affiliations of the authors: Department of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands (DGTA, NFdeK); Amphia Hospital, Breda, The Netherlands (GJS).

Correspondence and reprints: Danielle G. T. Arts, MSc, Department of Medical Informatics and Department of Intensive Care, J2-257, Academic Medical Center, P.O. Box 22700, 1100 DE, Amsterdam, The Netherlands; e-mail: <D.G.Arts{at}amc.uva.nl>.

Over the past years the number of medical registries has increased sharply. Their value strongly depends on the quality of the data contained in the registry. To optimize data quality, special procedures have to be followed. A literature review and a case study of data quality formed the basis for the development of a framework of procedures for data quality assurance in medical registries. Procedures in the framework have been divided into procedures for the co-ordinating center of the registry (central) and procedures for the centers where the data are collected (local). These central and local procedures are further subdivided into (a) the prevention of insufficient data quality, (b) the detection of imperfect data and their causes, and (c) actions to be taken / corrections. The framework can be used to set up a new registry or to identify procedures in existing registries that need adjustment to improve data quality.




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