Risk Management using Medical Incident Information

Abstract

This article describes a method for preventing medical accidents by utilizing incident information. Each medical institution classifies and grasps the tendency of the accident based on the similarity from the large amount of report data. This paper introduces a classification method by machine learning, which is currently under development, focusing on hierarchical clustering. In medical institutions, tools that can easily analyze interactively are required, and an example is shown.