Mining Risk Information in Hospital Information Systems as Risk Mining

This paper focuses on application of data mining to medical risk management. To err is human. However, medical practice should avoid as many errors as possible to achieve safe medicine. Thus, it is a very critical issue in clinical environment how we can avoid the near misses and achieve the medical safety. Errors can be classified into the following three type of errors. First one is systematic errors, which occur due to problems of system and workflow. Second one is personal errors, which occur due to lack of expertise of medical staff. Finally, the third one is random error. The important point is to detect systematic errors and personal errors, which may be prevented by suitable actions, and data mining is expected as a tool for analysis of those errors. For this purpose, this paper proposes risk mining where data including risk information is analyzed by using data mining methods and mining results are used for risk prevention.