Measuring and comparing data quality in electronic health care records

Tate, A Rosemary, Verheij, Robert, Beloff, Natalia, Williams, Tim and Kalra, Dipak (2012) Measuring and comparing data quality in electronic health care records. In: MIE 2012: XXIV Conference of the European Federation for Medical Information "Quality of Life through Quality of Information", 25-29th August, Pisa, Italy.

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The quality of information depends on the quality of data from which it is derived, but data are of high quality only if they are fit for their intended use. Although electronic health records are collected mainly for patient care and audits, their use in research can also greatly benefit the quality of life of patients. The aim of this workshop is to discuss the challenges and issues involved with measuring data quality in electronic health records for epidemiological and clinical research. Although there has been a vast amount of literature on data quality in general, there exists no common framework or methodology for defining and comparing data quality in medical databases used for research. In this workshop we shall share our experiences of assessing data quality in primary care databases and discuss and develop a suggested framework that can help ensure compatibility of data quality measures for different European primary care databases. We shall also discuss how best to use this framework and the results of our investigations to help data contributors improve the quality of data at source.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Presented in session T06-WS: Safety and Data Quality
Keywords: Quality framework; linked health records; health services research
Schools and Departments: School of Engineering and Informatics > Informatics
Subjects: Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Depositing User: Natalia Beloff
Date Deposited: 27 Sep 2012 14:26
Last Modified: 27 Sep 2012 14:27

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