Data Mining in Hospital Information System

Abstract

Data mining aims at discovering novel, interesting and useful knowledge from databases. Conventionally, the data is analyzed manually. Many hidden and potentially useful relationships may not be recognized by the analyst. Nowadays, many organizations including modern hospitals are capable of generating and collecting a huge amount of data. This explosive growth of data requires an automated way to extract useful knowledge. Thus, medical domain is a major area for applying data mining. Through data mining, we can extract interesting knowledge and regularities. The discovered knowledge can then be applied in the corresponding field to increase the working efficiency and improve the quality of decision making. This chapter introduces the applications of data mining in HIS (Hospital Information System). It will be presented in three aspects: data mining fundamentals (part 1 and part 2), tools for knowledge discovery (part 3 and part 4), and advanced data mining techniques (part 5 and part 6). In order to help readers understand more intuitively and intensively, some case studies will be given in advanced data mining techniques.