| Literature DB >> 32570602 |
Kazuya Okamoto1, Takashi Yamamoto2, Shusuke Hiragi1, Shosuke Ohtera1, Osamu Sugiyama3, Goshiro Yamamoto1, Masahiro Hirose4, Tomohiro Kuroda1.
Abstract
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.Keywords: Safety management; medical records; supervised machine learning
Year: 2020 PMID: 32570602 DOI: 10.3233/SHTI200385
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630