%0 Journal Article
%T Novel Analytics Framework for Universal Healthcare Insurance Database
%J Archive of "AMIA Summits on Translational Science Proceedings".
%D 2019
%X 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
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6568106/