Taiwan hospital database is very large. Data which stored in the hospital database is also very diverse and complex, and these data are not all data are needed. The individual data set will be analyzed in the big data, and the data set will be integrated and then analyze again to find the relationship and the hidden knowledge in the database. In the research, we integrated the aortic aneurysm with peripheral arterial occlusive disease in the database, and established the corresponding data table with the different diseases. Medical staff can use the data analysis and management system to record medical data of patients more easily, and also reduce the workload of medical staff. Medical staff can spend more time in caring for patients. Medical staff can make the use of the data analysis and management system established by the Institute to do the individual analysis of the corresponding diseases and the cross analysis of the two diseases. According to the different diseases recorded in the same data item cross analysis and chart analysis, the medical staff can observe the charts to identify correlation between data and data, and then obtain the information hidden in the data behind. Medical staff observe and analyze charts to obtain information hidden behind the data.