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Authors: Monica Noselli 1 ; Dan Mason 2 ; Mohammed A. Mohammed 3 and Roy A. Ruddle 1

Affiliations: 1 University of Leeds, United Kingdom ; 2 Bradford Institute for Health Research and Bradford Royal Infirmary, United Kingdom ; 3 University of Bradford, United Kingdom

ISBN: 978-989-758-213-4

Keyword(s): Data Quality, Visualization, Health Data, Longitudinal Data.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Data Engineering ; Data Management and Quality ; Data Manipulation ; Data Visualization ; Health Information Systems ; Sensor Networks

Abstract: Electronic Health Records (EHRs) are an important asset for clinical research and decision making, but the utility of EHR data depends on its quality. In health, quality is typically investigated by using statistical methods to profile data. To complement established methods, we developed a web-based visualisation tool called MonAT Web Application (MonAT) for profiling the completeness and correctness of EHR. The tool was evaluated by four researchers using anthropometric data from the Born in Bradford Project (BiB Project), and this highlighted three advantages. The first was to understand how missingness varied across variables, and especially to do this for subsets of records. The second was to investigate whether certain variables for groups of records were sufficiently complete to be used in subsequent analysis. The third was to portray longitudinally the records for a given person, to improve outlier identification.

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Paper citation in several formats:
Noselli M., Mason D., Mohammed M. and Ruddle R. (2017). MonAT: A Visual Web-based Tool to Profile Health Data Quality.In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017) ISBN 978-989-758-213-4, pages 26-34. DOI: 10.5220/0006114200260034

@conference{healthinf17,
author={Monica Noselli and Dan Mason and Mohammed A. Mohammed and Roy A. Ruddle},
title={MonAT: A Visual Web-based Tool to Profile Health Data Quality},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017)},
year={2017},
pages={26-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006114200260034},
isbn={978-989-758-213-4},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017)
TI - MonAT: A Visual Web-based Tool to Profile Health Data Quality
SN - 978-989-758-213-4
AU - Noselli M.
AU - Mason D.
AU - Mohammed M.
AU - Ruddle R.
PY - 2017
SP - 26
EP - 34
DO - 10.5220/0006114200260034

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