Development of a Big Data Platform for the Collection and Utilization of Korea Biobank Network Clinical Information

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

doi:10.3233/SHTI240422

Development of a Big Data Platform for the Collection and Utilization of Korea Biobank Network Clinical Information

Yun Seon Im
, Seol Whan Oh
, Ki Hoon Kim
, 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

2 Scopus citations

Abstract

Biobanks serve as vital repositories for human biospecimens and clinical data, promoting biomedical and clinical research. The integration of electronic health records particularly enhances research opportunities in the era of genomics and personalized medicine, improving understanding of tumor development and disease progression. Based on the Korea Biobank Network Common Data Model, it is possible to expand data collection across various diseases. We have developed an innovative big data platform designed to efficiently collect large-scale clinical information within the KBN. By implementing the system structure, data quality management processes, and basic statistical preprocessing functionalities, we have collected data from 136,473 individuals from 2021 to 2023, demonstrating the platform's continuous and efficient data collection capabilities. Integration with hospital systems and robust quality management ensure the acquisition of high-quality data.

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	362-366
Number of pages	5
ISBN (Electronic)	9781643685335
DOIs	https://doi.org/10.3233/SHTI240422
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.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Big data Platform
Clinical Information
Common Data Model
Korea Biobank

Access to Document

10.3233/SHTI240422

Cite this

Im, Y. S., Oh, S. W., Kim, K. H., Choi, W., & Choi, I. Y. (2024). Development of a Big Data Platform for the Collection and Utilization of Korea Biobank Network Clinical Information. 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. 362-366). (Studies in Health Technology and Informatics; Vol. 316). IOS Press BV. https://doi.org/10.3233/SHTI240422

Im, Yun Seon ; Oh, Seol Whan ; Kim, Ki Hoon et al. / Development of a Big Data Platform for the Collection and Utilization of Korea Biobank Network Clinical Information. 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. 362-366 (Studies in Health Technology and Informatics).

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abstract = "Biobanks serve as vital repositories for human biospecimens and clinical data, promoting biomedical and clinical research. The integration of electronic health records particularly enhances research opportunities in the era of genomics and personalized medicine, improving understanding of tumor development and disease progression. Based on the Korea Biobank Network Common Data Model, it is possible to expand data collection across various diseases. We have developed an innovative big data platform designed to efficiently collect large-scale clinical information within the KBN. By implementing the system structure, data quality management processes, and basic statistical preprocessing functionalities, we have collected data from 136,473 individuals from 2021 to 2023, demonstrating the platform's continuous and efficient data collection capabilities. Integration with hospital systems and robust quality management ensure the acquisition of high-quality data.",

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author = "Im, \{Yun Seon\} and Oh, \{Seol Whan\} and Kim, \{Ki Hoon\} and Wona Choi and Choi, \{In Young\}",

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Im, YS, Oh, SW, Kim, KH, Choi, W & Choi, IY 2024, Development of a Big Data Platform for the Collection and Utilization of Korea Biobank Network Clinical Information. 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. 362-366, 34th Medical Informatics Europe Conference, MIE 2024, Athens, Greece, 25/08/24. https://doi.org/10.3233/SHTI240422

Development of a Big Data Platform for the Collection and Utilization of Korea Biobank Network Clinical Information. / Im, Yun Seon; Oh, Seol Whan; Kim, Ki Hoon 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. 362-366 (Studies in Health Technology and Informatics; Vol. 316).

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

TY - GEN

T1 - Development of a Big Data Platform for the Collection and Utilization of Korea Biobank Network Clinical Information

AU - Im, Yun Seon

AU - Oh, Seol Whan

AU - Kim, Ki Hoon

AU - Choi, Wona

AU - Choi, In Young

PY - 2024/8/22

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N2 - Biobanks serve as vital repositories for human biospecimens and clinical data, promoting biomedical and clinical research. The integration of electronic health records particularly enhances research opportunities in the era of genomics and personalized medicine, improving understanding of tumor development and disease progression. Based on the Korea Biobank Network Common Data Model, it is possible to expand data collection across various diseases. We have developed an innovative big data platform designed to efficiently collect large-scale clinical information within the KBN. By implementing the system structure, data quality management processes, and basic statistical preprocessing functionalities, we have collected data from 136,473 individuals from 2021 to 2023, demonstrating the platform's continuous and efficient data collection capabilities. Integration with hospital systems and robust quality management ensure the acquisition of high-quality data.

AB - Biobanks serve as vital repositories for human biospecimens and clinical data, promoting biomedical and clinical research. The integration of electronic health records particularly enhances research opportunities in the era of genomics and personalized medicine, improving understanding of tumor development and disease progression. Based on the Korea Biobank Network Common Data Model, it is possible to expand data collection across various diseases. We have developed an innovative big data platform designed to efficiently collect large-scale clinical information within the KBN. By implementing the system structure, data quality management processes, and basic statistical preprocessing functionalities, we have collected data from 136,473 individuals from 2021 to 2023, demonstrating the platform's continuous and efficient data collection capabilities. Integration with hospital systems and robust quality management ensure the acquisition of high-quality data.

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KW - Clinical Information

KW - Common Data Model

KW - Korea Biobank

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M3 - Conference contribution

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AN - SCOPUS:85202007875

T3 - Studies in Health Technology and Informatics

SP - 362

EP - 366

BT - Digital Health and Informatics Innovations for Sustainable Health Care Systems - Proceedings of MIE 2024

A2 - Mantas, John

A2 - Hasman, Arie

A2 - Demiris, George

A2 - Saranto, Kaija

A2 - Marschollek, Michael

A2 - Arvanitis, Theodoros N.

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

Y2 - 25 August 2024 through 29 August 2024

ER -

Im YS, Oh SW, Kim KH, Choi W, Choi IY. Development of a Big Data Platform for the Collection and Utilization of Korea Biobank Network Clinical Information. 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. 362-366. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI240422

Development of a Big Data Platform for the Collection and Utilization of Korea Biobank Network Clinical Information

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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Cite this