Application of Data Mining to Emergency Medical Resource Management

近年來全球氣候異常變化，經過證實，氣候變化對於健康具有衝擊性。同時因急診病人人數日益增加，如何為急診重症之病人提供更完善的照顧，並提昇病人到院之急診服務品質，是目前醫療管理的一大重點。目前已有相當多的醫學研究顯示：疾病的發生是與氣候有關的，因此我們運用資料探勘的技術，試著找出天氣及週期性這兩項因素與疾病的相關性，期望能利用本研究成果提供給醫院進行有效的急診人力調度，使成本節省並提供良好的急診服務品質。目前本研究已得到許多有用的規則，例如：無風、無雨量的天氣，將會有較多的胃腸肝膽科、胸腔內科及ㄧ般外科病人就醫，而星期二則是一般兒科、神經內科、胃腸肝膽科及ㄧ般內科的病人較多，…等等。這些規則已提供給竹南某區域教學醫院，作為急診排班人次管理的參考，期待可以提升病患對於急診服務的滿意度。
In recent time, the global climate changes significantly. Researchers have found that climatic is strongly related to human health. Meanwhile, as the number of emergent patients increases day by day, emergency medical resource management becomes an important issue in promoting medical service quality. In this paper, the data mining technology is utilized to find out relationships among the climate factors and the periodicity of emergency clinic. Some interested rules have been obtained and provided to a regional teaching hospital in Chu-Nan, Taiwan. Those rules are used as a reference to help the managers of the hospital allocating emergency medical resources. It is expected that the satisfaction of the emergency medical treatment service will be promoted.