https://scholars.lib.ntu.edu.tw/handle/123456789/109698
Title: | UTILIZATION OF A DECISION TREE FOR HIGH EXPENDITURE PATIENTS IN THE EMERGENCY DEPARTMENT 運用決策樹技術探討急診病患醫療費用之消耗 |
Authors: | CHOU, HSIN-KAI SU, SYI HWANG, HSIN-GINN TSAI, MING-TSU WOUNG, LIN-CHUNG 周歆凱 蘇喜 黃興進 蔡明足 翁林仲 |
Keywords: | 急診醫學;資料探勘;決策樹;Emergency Medicine;Data Mining;Decision Tree | Issue Date: | 2006 | Journal Issue: | n.6 | Start page/Pages: | 430-439 | Source: | 台灣公共衛生雜誌,v.25 | Abstract: | 目標:傳統上,決策樹之分類技術在市場上多運用於顧客資料的區隔分析。然而,本研究也應用該工具來探討急診病患醫療費用之耗用,期望從大量之費用資料庫中,探勘出病患屬性與其醫療費用消耗之潛在關係。方法:本研究收集某醫學中心急診室一年之病患就診資料,並利用資料探勘技術中之決策樹工具來觀察各醫療費用群(低費用組、一般費用組、高費用組)間之病患特質(人口學特質、就醫屬性)的分類;藉由分類規則的建立,可預測病人於就診時可能消耗之醫療費用多寡。結果:決策樹以多層次之樹枝分佈及顏色區塊等視覺化方式呈現研究結果;其中資訊增益順序為(滯留時間>疾病分類>離院後動向>檢傷分級>科別),該資訊增益之順序也代表屬性影響醫療費用分佈之程度,意即滯留時間為決定急診病色醫療費用多寡之首要因素。結論:本研究建議個案醫院能針對不同類型之病人,給予個人化的照護服務,期望改善病人再回診的情形、降低滯留急診的時間,同時也能降低病人於急診發生之醫療費用。 Objective: Traditionally, classification via a decision tree has been primarily used to distinguish between types of customers. In the current study, however, a decision tree was used to track a patient's medical expenditures in the emergency department and determine the potential relationship between patient attributes and expenses, as derived from a large database maintained in the emergency department of the hospital. Method: Patient records were collected inform the emergency department of a medical center over the course of approximately one year and a decision tree was used to classify patient data based on the magnitude of medical expenses incurred (i.e., lower, average, or higher); in the future, we will be able to predict the potential medical expenditures of emergency department patients according to such a classification. Result: The decision tree consisted of multiple levels of branches and color blocks to present the output and the sequence of information gathered (e.g., length of stay>disease classification>mode of departure from the hospital>triage>medical specific) and reflected the degree to which the distribution of medical expenses were influenced. Conclusion: This research suggests that the hospital can supply professional and personal services to various patients who have some special needs; at the same time, the hospital also can reduce the number of patients that re-visit the emergency department within 72 hours or remain in the emergency department >24 hours, thereby decreasing the expenditures within the emergency department. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/64673 |
Appears in Collections: | 健康政策與管理研究所 |
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