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...

Full description

Bibliographic Details
Main Authors: Bing-Chuin Chen, 陳秉群
Other Authors: Shao-Jen Weng
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/71996729571179986319
id ndltd-TW-099THU00030016
record_format oai_dc
spelling 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
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 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.
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 AT bingchuinchen healthcareresourceallocationsimulationoptimization
AT chénbǐngqún healthcareresourceallocationsimulationoptimization
AT bingchuinchen yīliáozīyuánfēnpèimónǐzuìjiāhuàzhīyánjiū
AT chénbǐngqún yīliáozīyuánfēnpèimónǐzuìjiāhuàzhīyánjiū
_version_ 1718113651581255680