텍스트마이닝 기반의 재난현장 응급의료시설 대상지선정 프로세스 연구

Abstract

Purpose: In the case of mass disaster, the establishment of temporary medical facilities for the first aid and treatment is required for the stable accommodation of patients caused by the disaster. However, the criteria for decision making related to the deployment of field emergency medical facilities are not specified. So, The purpose of this study is to draw considerable factors needed for the deployment of field emergency medical facilities and to make proposal for site selection process of field emergency medical facilities on the basis of the factor. Methods: This study performs text mining of disaster-related laws, guidelines and documents to derive key factors affecting site selection, also proposes a decision making process and conducts virtual deployment to validate the process. Results: The key factors for the site selection derived as the size of the damage, the size of the DMAT inputs, the location of available place, and distance to the disaster base hospital. As a result of virtual deployment following proposed decision making process, It is confirmed that the site of field emergency medical facilities is changed depending on the type of disaster, even if the scope of the disaster damage was the same. Implications: The deployment of field emergency medical facilities requires a separate criteria for each type of disaster, not uniform, as a future research a quantitative approach of the criteria needs to be performed.