Tendency discovery from incident report map generated by self organizing map and its development

This study discusses a tendency discovery method from medical text data with free format. In this study, we focuses incident reports and proposes a new tendency discovery method for them using self-organizing map. In the first of this paper, we describes the outline of the keyword extraction method from incident reports and coding method to make a map. It is expected that the generated map by the proposed method shows the relation among the incident reports visually and it gives us new knowledge, i.e. trends or features underlaid in reports and difficult to find from each report. The knowledge will be able to help the reduction of incidents in the hospital. Moreover, authors developed a incident report analysis system using the proposed method and discuss the effectiveness of the proposed system. Finally, the paper describes a possibility for the application of SOM to incident reports in the end of this paper.