کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
388232 660920 2009 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improving scheduling of emergency physicians using data mining analysis
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Improving scheduling of emergency physicians using data mining analysis
چکیده انگلیسی

Emergency departments are the first line in hospitals to face emergency patients. As a major function of emergency medicine, when a patient comes to the emergency department, the emergency medical personnel will first perform a triage procedure and then transfer the patient to associated departments for treatment. Due to the utilization pattern of the Taiwanese people in medicine, the emergency departments in most major hospitals are always overcrowded. The arrangement of manpower or the distribution of resources to handle patients’ demands can affect disease outcomes and quality of medical treatment. Therefore, the prediction of demands of physician manpower certainly will affect the quality and cost in medical treatment, and has significant impact on patients’ life and satisfaction.This study used data mining, classification and a decision tree to analyze the prediction model of patients’ demand in the Emergency department from real treatment situations. The result was the accuracy of shift anticipation improved from 22% to 50%. This study also used anticipant performance evaluation matrix integrated with loss function to evaluate the performance between the anticipation of demand established by mining and the original arrangement. It helped to save the cost of the medical personnel by 37%. In the end it combined the DMAIC action procedure from 6-Sigma and developed an anticipation model that can be suitable in different departments to dispatch medical personnel. It provided a reference of the decision maker of the hospital.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 36, Issue 2, Part 2, March 2009, Pages 3378–3387
نویسندگان
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