A Fast Statistics and Analysis Solution of Medical Service Big Data

The rapid development of medical informatization has ignited the explosive growth trend of medical service data, which is challenging data managers on the aspects of data amount, complex and multi-dimensional data relation and high interactive response demand. Traditional technology such as Data Warehouse (DW) and Business Intelligence (BI) could not meet the real-time demand of processing and analyzing the increasing scale of medical service big data. To solve this problem, in this paper we present a novel cloud platform for fast statistics and analysis based on big data processing technology. In this platform, medical service information is transformed to a new data structure in a column-oriented Data Base Manage System (DBMS), Spark cluster is used to satisfy the real-time computing requirements. Finally, we have developed a prototype to show results and details of statistics and analysis in the webpage.