有效的数据质量管理电子医疗记录数据使用智能数据.
Seunghee Lee1, Gyun-Ho Roh2, Jong-Yeup Kim3
1Healthcare Data Science Center, Konyang University Hospital, Daejeon, 35365, Republic of Korea.
International journal of medical informatics
|October 23, 2023
概括
我们介绍了SMART数据,这是一个系统的方法来管理整个生命周期的医疗数据质量. 这种方法提高了数据的可靠性和利用性,正如结直肠癌预测模型研究所证明的那样.
科学领域:
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
- 健康数据管理 管理健康数据
背景情况:
- 医疗数据管理面临诸如高成本,标准化问题和复杂的预处理等挑战.
- 一个强大的数据质量管理系统对于可靠的数据,降低风险,降低成本和增加数据利用至关重要.
研究的目的:
- 在医疗数据质量管理系统中引入SMART数据的概念.
- 使用现实世界结直肠癌数据进行案例研究,以测试SMART数据概念.
主要方法:
- 定义了基于医疗数据生命周期 (构建 - 操作 - 使用) 的数据质量管理系统.
- 提出并将"智能数据"概念应用于来自单一机构的结直肠癌患者数据.
主要成果:
- 定义 SMART DATA 作为系统化,高质量的数据,通过质量控制通过其生命周期来管理.
- 策划了1,724个学习数据集和27个临床关键集 (CCS) 数据集用于结直肠癌预测.
- 在CCS病例中确定了独特的模式,需要进一步临床审查以改进预测模型.
结论:
- 进行了初级研究,以开发医疗数据质量管理系统.
- 该研究旨在标准化医疗数据提取和质量控制,提高数据利用率.
- 这项工作有助于开发一种方法和建立一个全面的医疗数据质量管理系统.
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