开发一个大数据平台,用于收集和利用韩国生物银行网络的临床信息
Yun Seon Im1,2, Seol Whan Oh1,2, Ki-Hoon Kim1,2
1Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Studies in health technology and informatics
|August 23, 2024
概括
一个新的大数据平台有效地从韩国生物银行网络 (KBN) 收集临床信息. 该系统通过整合电子健康记录和确保个性化医学和疾病研究的高质量数据来增强生物医学研究.
科学领域:
- 生物医学信息学 生物医学信息学
- 这是生物银行.
- 基因组学就是基因组学.
背景情况:
- 生物库对于人类生物标本和临床数据存储至关重要,支持生物医学研究.
- 电子健康记录的整合推动了基因组学和个性化医学的发展,有助于瘤和疾病进展研究.
- 韩国生物银行网络 (KBN) 共同数据模型促进跨疾病数据收集.
研究的目的:
- 在KBN中开发和实施一个创新的大数据平台,以便在KBN中有效,大规模地收集临床信息.
- 证明平台的持续和高效数据采集能力.
主要方法:
- 基于KBN共同数据模型开发一个大数据平台.
- 系统结构的实施,数据质量管理流程和统计预处理.
- 与现有医院信息系统的集成.
主要成果:
- 在2021年至2023年期间,收集了来自136,473个人的数据.
- 证明了连续和高效的数据收集能力.
- 通过强有力的质量管理和医院系统集成,确保高质量的数据采集.
结论:
- 开发的大数据平台能够在KBN中有效和大规模地收集临床数据.
- 该平台支持加强生物医学研究,特别是在基因组学和个性化医学领域.
- 强有力的数据质量管理确保了收集的生物标本和临床研究数据的可靠性.
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