Application of Data Mining for Risk mining in Medicine

Abstract

As the demands of society grow larger, the organizations grow larger and becomes complex to provide services. The value of organisational risk management has been recognised in recent years, according to the current scenario. With the introduction of information technology to organisations, a vast volume of data is being processed automatically. However, this data is not utilized efficiently. It is expected that this data can be used effectively to contribute to risk-management for such organizations.

Methodology: Literature study was done using various search engines like google scholar, pubmed. Various publications related to data mining and risk mining in health sector were collected and studied thoroughly.

Discussion: This research proposes risk mining, in which data mining techniques are used to identify and analyse potential risks in organisations, as well as to use risk data for better organisational management. This was applied to the dataset originating from hospital information systems. This is applied to the following two cases: infection control and risk aversion of nurse incidents.

Result: The results of this study show that data mining methods are effective for detection of risk factors in health sector.