开发用于收集和利用韩国生物银行网络临床信息的大数据平台。
Development of a Big Data Platform for the Collection and Utilization of Korea Biobank Network Clinical Information.
发表日期:2024 Aug 22
作者:
Yun Seon Im, Seol Whan Oh, Ki-Hoon Kim, Wona Choi, In Young Choi
来源:
BIOMEDICINE & PHARMACOTHERAPY
摘要:
生物样本库是人类生物样本和临床数据的重要存储库,促进生物医学和临床研究。电子健康记录的整合尤其增加了基因组学和个性化医疗时代的研究机会,提高了对肿瘤发展和疾病进展的了解。基于韩国生物银行网络通用数据模型,可以扩展各种疾病的数据收集。我们开发了一个创新的大数据平台,旨在高效收集 KBN 内的大规模临床信息。通过实施系统结构、数据质量管理流程和基本统计预处理功能,我们收集了2021年至2023年136,473人的数据,展示了平台持续高效的数据收集能力。与医院系统的集成和强大的质量管理确保了高质量数据的获取。
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.