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Detecting Severe Incidents from Electronic Medical Records Using Machine Learning Methods

Author(s): Kazuya Okamoto*, Takashi Yamamoto, Luciano H.O. Santos, Shusuke Hiragi, Osamu Sugiyama, Goshiro Yamamoto, Masahiro Hirose and Tomohiro Kuroda

The goal of this research was to design a solution to detect non-reported incidents, especially severe incidents. To achieve this goal, we proposed a method to process electronic medical records and automatically extract clinical notes describing severe incidents. To evaluate the proposed method, we implemented a system and used the system. The system successfully detected a non-reported incident to the safety management department.


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