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  • 學位論文

資料探勘於門診醫囑組套建置之應用

The Application of Data Mining in Establishment of Outpatient Medical Order Kit

指導教授 : 黃怡詔

摘要


大型醫院的門診人數日益增加,使得門診醫療人員工作時數經常超載,而影響到整體醫療品質,故本研究目的在於能加速門診醫師看診時間之同時,也能避免醫師在開立醫囑時的疏失或是重複開立導致醫療浪費之情形發生。本研究以臺灣某區域教學醫院的門診就診資料庫為依據,針對門診所開立過的藥品與處置項目,利用資料探勘技術裡的分類功能,依疾病別做為分類基礎,再分出全院性、科別與醫師別這三種類別,並分別計算出各類別每個項目所使用過的執行機率,最後各類別再將執行機率較高之項目組成一個組套。此外,為設計醫囑介面,本研究設計出四種不同醫囑模擬介面,四種介面裡的表格顯示不同醫囑項目個數,再用統計調查方式選出較適合之介面,結果顯示10項醫囑項目欄位畫面為最適當的醫囑介面,因此,本研究以門診醫囑執行機率較高的前10項,放置醫囑介面的第一欄位,以加速醫師選取醫囑項目。本研究的快速搜尋模式,做為未來醫療院所設置門診醫囑組套之依據。

並列摘要


Due to growth of patients at large-scaled hospitals, medical staffs need overworking, which influences medical quality. Therefore, the purpose of present study was to improve the efficiency of diagnosis, and to avoid medical malpractice, or medical waste caused by issuing duplicated descriptions. Using medical records from a regional teaching hospital in Taiwan as database, the researcher analyzed descriptions and examination items according to different diseases, the use of data mining technology in the classification, and separated the data into three categories, including whole hospital, divisions, and doctors. Next, the researcher calculated the probability of description items according to these three categories, and set up three medical order kits, which based on high executed items in three categories. In addition, in order to design medical order interface, four medical order interfaces, which displayed different amounts of items, were designed in the present study. The most suitable medical order interface was chosen by a survey. The results showed that the interface which contains ten items is the most suitable interface for medical order. Thus, to improve the efficiency of diagnosis, the researcher set top 10 executed items at first column of medical order interface. The quick search mode in this study can be a reference for medical institutions setting up outpatient medical order kit.

參考文獻


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