Sato Jumpei, Goda Kazuo, Kitsuregawa Masaru, Nakashima Naoki, Mitsutake Naohiro
The University of Tokyo, Tokyo.
Kyushu University Hospital, Fukuoka.
AMIA Jt Summits Transl Sci Proc. 2019 May 6;2019:353-362. eCollection 2019.
Medical insurance claims data is one of the most useful data sources that can offer a big-picture view of a nation-wide healthcare system. Form the viewpoint of medical policy planning, Japan's Ministry of Health, Labour and Welfare has been continuously collecting claims data. However, claims data in Japan has an ordered nested tuple format, and a method for describing the logic to analyze this form in a simple and clear manner has not been established yet. In the present work, we construct a novel analytics framework based on previous analyses that we conducted with medical researchers and design a UI that facilitates the construction of the processing logic in a simple and clear manner. By showing the execution result of typical analyses of claim data, we demonstrate the effectiveness of the developed tool.
医疗保险理赔数据是最有用的数据源之一,它能提供全国医疗体系的全景视图。从医疗政策规划的角度来看,日本厚生劳动省一直在持续收集理赔数据。然而,日本的理赔数据采用有序嵌套元组格式,尚未建立一种以简单明了的方式描述分析这种格式的逻辑的方法。在当前工作中,我们基于之前与医学研究人员进行的分析构建了一个新颖的分析框架,并设计了一个用户界面,以简单明了的方式促进处理逻辑的构建。通过展示理赔数据典型分析的执行结果,我们证明了所开发工具的有效性。