臺灣醫院資料庫的儲存量是相當龐大的，資料也非常多元並且複雜，而這些資料並非所有資料都被需要，把大資料使用個別獨立分析的小型資料集，然後再將各個資料群集合併進行分析，找出資料的關聯性以及從而尋找出隱藏在大型資料庫中的有價值的資訊。 在本次研究之中，整合主動脈瘤與周邊動脈阻塞性疾病兩種疾病，依照疾病的不同建立相對應的資料表，醫護人員能夠利用數據分析管理系統更簡單的紀錄病患的病歷資料，減少醫護人員的工作量使醫護人員能夠運用更多的時間在照護病人上面，並且醫護人員能夠利用本研究所建立的數據分析管理系統，進行相對應疾病的個別分析與雙疾病交叉分析，根據疾病與疾病所記錄相同的資料項目進行交叉分析並產生分析圖表，醫護人員則能夠觀察圖表找出資料與資料之間的關聯性，進而獲取隱藏在資料背後的資訊。 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.
