Title : 
Visualization-based medical expenditure analysis support system
         
        
            Author : 
Shuichi Toyoda;Noboru Niki
         
        
            Author_Institution : 
Faculty of Nursing, Jobu University, Japan
         
        
        
        
        
            Abstract : 
Japanese municipalities have recently been required to decrease their medical expenditure, which has been expanding as a result of an increasing number of patients with chronic diseases. We attempted to visualize insurance claim data to support medical expenditure analysis for insurers or local government (e.g. cities, towns and villages). We introduce two perspectives for the visualization of medical expenditure data: the general perspective approach to understanding overall medical expenditure and the specific perspective approach focused on particular issues such as lifestyle-related diseases. We have created the visual primitives, which enables interactive visualization for very large datasets, from raw insurance claim data. This system uses hypertext markup language and Data-driven Documents and provides analysis support for a comprehensive understanding of overall medical expenditure and comparisons between municipalities over time.
         
        
            Keywords : 
"Biomedical imaging","Diseases","Data visualization","Visualization","Insurance","Databases"
         
        
        
            Conference_Titel : 
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
         
        
        
            Electronic_ISBN : 
1558-4615
         
        
        
            DOI : 
10.1109/EMBC.2015.7318680