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 erros. 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.
Shusaku Tsumoto Shigeki Yokoyama Kimiko Matsuoka
Shimane University, School of Medicine, Izumo 693-8501 Japan Koden Industry Tokyo 143-0015, Japan Osaka Prefectural General Medical Center, Osaka 558-8558, Japan
国际会议
北京
英文
1948-1952
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）