Healthcare Resource Allocation Simulation Optimization
碩士 === 東海大學 === 工業工程與經營資訊學系 === 99 === Overcrowding has becoming the problem of Emergency Department (ED) in Taiwan hospital gradually. According to the data studied, high flow in ED will come out with a lower quality service. The simplest way to solve this problem is increase the amount of emergenc...
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ndltd-TW-099THU000300162015-10-28T04:07:28Z http://ndltd.ncl.edu.tw/handle/71996729571179986319 Healthcare Resource Allocation Simulation Optimization 醫療資源分配模擬最佳化之研究 Bing-Chuin Chen 陳秉群 碩士 東海大學 工業工程與經營資訊學系 99 Overcrowding has becoming the problem of Emergency Department (ED) in Taiwan hospital gradually. According to the data studied, high flow in ED will come out with a lower quality service. The simplest way to solve this problem is increase the amount of emergency resources, but the amount becoming a limitation factor as the demand is growing rapidly. Thus, in this study, we simulate a model according to the situation in ED by System Simulation Technique, and use it to analyze the waiting time and system time of different grade patients. Then apply NEDOCS as indicator to determine the ED flow, find out a best way to allocate human resources via Tabu Search, provide a reference of human resources allocation to ED management.Different allocation of human resources will cause different NEDOCS under same amount of human resource. When use the result of resource allocation optimization ,the average degree of emergency can reduce the congestion of 8%.If demand for doctor and nurse in Ed increase by one, we suggest transfer the doctor in main ED to ED and nurse to waiting area. Criteria: main ED has sufficient human resourse. The result above can reduce 9.11% of crowdedness in ED. Shao-Jen Weng 翁紹仁 2011 學位論文 ; thesis 59 zh-TW |
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碩士 === 東海大學 === 工業工程與經營資訊學系 === 99 === Overcrowding has becoming the problem of Emergency Department (ED) in Taiwan hospital gradually. According to the data studied, high flow in ED will come out with a lower quality service. The simplest way to solve this problem is increase the amount of emergency resources, but the amount becoming a limitation factor as the demand is growing rapidly. Thus, in this study, we simulate a model according to the situation in ED by System Simulation Technique, and use it to analyze the waiting time and system time of different grade patients. Then apply NEDOCS as indicator to determine the ED flow, find out a best way to allocate human resources via Tabu Search, provide a reference of human resources allocation to ED management.Different allocation of human resources will cause different NEDOCS under same amount of human resource. When use the result of resource allocation optimization ,the average degree of emergency can reduce the congestion of 8%.If demand for doctor and nurse in Ed increase by one, we suggest transfer the doctor in main ED to ED and nurse to waiting area. Criteria: main ED has sufficient human resourse. The result above can reduce 9.11% of crowdedness in ED.
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author2 |
Shao-Jen Weng |
author_facet |
Shao-Jen Weng Bing-Chuin Chen 陳秉群 |
author |
Bing-Chuin Chen 陳秉群 |
spellingShingle |
Bing-Chuin Chen 陳秉群 Healthcare Resource Allocation Simulation Optimization |
author_sort |
Bing-Chuin Chen |
title |
Healthcare Resource Allocation Simulation Optimization |
title_short |
Healthcare Resource Allocation Simulation Optimization |
title_full |
Healthcare Resource Allocation Simulation Optimization |
title_fullStr |
Healthcare Resource Allocation Simulation Optimization |
title_full_unstemmed |
Healthcare Resource Allocation Simulation Optimization |
title_sort |
healthcare resource allocation simulation optimization |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/71996729571179986319 |
work_keys_str_mv |
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