Development and Evaluation of a Data Quality Management System for the Korea Biobank Network

Seol Whan Oh; Kihoon Kim; Yun Seon Im; Wona Choi; In Young Choi

doi:10.3233/SHTI240389

Development and Evaluation of a Data Quality Management System for the Korea Biobank Network

Seol Whan Oh
, Kihoon Kim
, Yun Seon Im
, Wona Choi
, In Young Choi

Department of Medical Informatics

The Catholic University of Korea, College of Medicine
The Catholic University of Korea

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

As the reliance on clinical epidemiological information from human specimens grows, so does the need for effective clinical information management systems, particularly for biobanks. Our study focuses on enhancing the Korea Biobank Network's (KBN) system with data quality verification features. By comparing the quality of data collected before and after these enhancements, we observed a notable improvement in data accuracy, with the error rate decreasing from 0.1198% to 0.0492%. This advancement underscores the importance of robust data quality management in supporting high-quality clinical research and sets a precedent for the development of clinical information management systems.

Original language	English
Title of host publication	Digital Health and Informatics Innovations for Sustainable Health Care Systems - Proceedings of MIE 2024
Editors	John Mantas, Arie Hasman, George Demiris, Kaija Saranto, Michael Marschollek, Theodoros N. Arvanitis, Ivana Ognjanovic, Arriel Benis, Parisis Gallos, Emmanouil Zoulias, Elisavet Andrikopoulou
Publisher	IOS Press BV
Pages	237-241
Number of pages	5
ISBN (Electronic)	9781643685335
DOIs	https://doi.org/10.3233/SHTI240389
State	Published - 22 Aug 2024
Event	34th Medical Informatics Europe Conference, MIE 2024 - Athens, Greece Duration: 25 Aug 2024 → 29 Aug 2024

Publication series

Name	Studies in Health Technology and Informatics
Volume	316
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	34th Medical Informatics Europe Conference, MIE 2024
Country/Territory	Greece
City	Athens
Period	25/08/24 → 29/08/24

Bibliographical note

Publisher Copyright:
© 2024 The Authors.

Keywords

Biobank
Common Data Model
Data Quality Management System

Access to Document

10.3233/SHTI240389

Cite this

Oh, S. W., Kim, K., Im, Y. S., Choi, W., & Choi, I. Y. (2024). Development and Evaluation of a Data Quality Management System for the Korea Biobank Network. In J. Mantas, A. Hasman, G. Demiris, K. Saranto, M. Marschollek, T. N. Arvanitis, I. Ognjanovic, A. Benis, P. Gallos, E. Zoulias, & E. Andrikopoulou (Eds.), Digital Health and Informatics Innovations for Sustainable Health Care Systems - Proceedings of MIE 2024 (pp. 237-241). (Studies in Health Technology and Informatics; Vol. 316). IOS Press BV. https://doi.org/10.3233/SHTI240389

Oh, Seol Whan ; Kim, Kihoon ; Im, Yun Seon et al. / Development and Evaluation of a Data Quality Management System for the Korea Biobank Network. Digital Health and Informatics Innovations for Sustainable Health Care Systems - Proceedings of MIE 2024. editor / John Mantas ; Arie Hasman ; George Demiris ; Kaija Saranto ; Michael Marschollek ; Theodoros N. Arvanitis ; Ivana Ognjanovic ; Arriel Benis ; Parisis Gallos ; Emmanouil Zoulias ; Elisavet Andrikopoulou. IOS Press BV, 2024. pp. 237-241 (Studies in Health Technology and Informatics).

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abstract = "As the reliance on clinical epidemiological information from human specimens grows, so does the need for effective clinical information management systems, particularly for biobanks. Our study focuses on enhancing the Korea Biobank Network's (KBN) system with data quality verification features. By comparing the quality of data collected before and after these enhancements, we observed a notable improvement in data accuracy, with the error rate decreasing from 0.1198\% to 0.0492\%. This advancement underscores the importance of robust data quality management in supporting high-quality clinical research and sets a precedent for the development of clinical information management systems.",

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Oh, SW, Kim, K, Im, YS, Choi, W & Choi, IY 2024, Development and Evaluation of a Data Quality Management System for the Korea Biobank Network. in J Mantas, A Hasman, G Demiris, K Saranto, M Marschollek, TN Arvanitis, I Ognjanovic, A Benis, P Gallos, E Zoulias & E Andrikopoulou (eds), Digital Health and Informatics Innovations for Sustainable Health Care Systems - Proceedings of MIE 2024. Studies in Health Technology and Informatics, vol. 316, IOS Press BV, pp. 237-241, 34th Medical Informatics Europe Conference, MIE 2024, Athens, Greece, 25/08/24. https://doi.org/10.3233/SHTI240389

Development and Evaluation of a Data Quality Management System for the Korea Biobank Network. / Oh, Seol Whan; Kim, Kihoon; Im, Yun Seon et al.
Digital Health and Informatics Innovations for Sustainable Health Care Systems - Proceedings of MIE 2024. ed. / John Mantas; Arie Hasman; George Demiris; Kaija Saranto; Michael Marschollek; Theodoros N. Arvanitis; Ivana Ognjanovic; Arriel Benis; Parisis Gallos; Emmanouil Zoulias; Elisavet Andrikopoulou. IOS Press BV, 2024. p. 237-241 (Studies in Health Technology and Informatics; Vol. 316).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2024/8/22

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N2 - As the reliance on clinical epidemiological information from human specimens grows, so does the need for effective clinical information management systems, particularly for biobanks. Our study focuses on enhancing the Korea Biobank Network's (KBN) system with data quality verification features. By comparing the quality of data collected before and after these enhancements, we observed a notable improvement in data accuracy, with the error rate decreasing from 0.1198% to 0.0492%. This advancement underscores the importance of robust data quality management in supporting high-quality clinical research and sets a precedent for the development of clinical information management systems.

AB - As the reliance on clinical epidemiological information from human specimens grows, so does the need for effective clinical information management systems, particularly for biobanks. Our study focuses on enhancing the Korea Biobank Network's (KBN) system with data quality verification features. By comparing the quality of data collected before and after these enhancements, we observed a notable improvement in data accuracy, with the error rate decreasing from 0.1198% to 0.0492%. This advancement underscores the importance of robust data quality management in supporting high-quality clinical research and sets a precedent for the development of clinical information management systems.

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A2 - Ognjanovic, Ivana

A2 - Benis, Arriel

A2 - Gallos, Parisis

A2 - Zoulias, Emmanouil

A2 - Andrikopoulou, Elisavet

PB - IOS Press BV

T2 - 34th Medical Informatics Europe Conference, MIE 2024

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Oh SW, Kim K, Im YS, Choi W, Choi IY. Development and Evaluation of a Data Quality Management System for the Korea Biobank Network. In Mantas J, Hasman A, Demiris G, Saranto K, Marschollek M, Arvanitis TN, Ognjanovic I, Benis A, Gallos P, Zoulias E, Andrikopoulou E, editors, Digital Health and Informatics Innovations for Sustainable Health Care Systems - Proceedings of MIE 2024. IOS Press BV. 2024. p. 237-241. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI240389

Development and Evaluation of a Data Quality Management System for the Korea Biobank Network

Abstract

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Bibliographical note

Keywords

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