Determinant Factors and Forecasting Model of Medical Resources Utilization of Inpatients with Major Trauma
碩士 === 輔仁大學 === 統計資訊學系應用統計碩士在職專班 === 104 === Accidental injury is the 3rd among the top ten leading causes of death. Because of the development of injury prevention and emergency medical system, the cases of accidental injuries has been obviously declining recently. However, according to Chang Gun...
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ndltd-TW-104FJU015060052017-03-26T04:24:24Z http://ndltd.ncl.edu.tw/handle/66489788653433090415 Determinant Factors and Forecasting Model of Medical Resources Utilization of Inpatients with Major Trauma 重大創傷患者住院醫療耗用影響因素與預測模型探討 Hung-Wen Wang 王鴻文 碩士 輔仁大學 統計資訊學系應用統計碩士在職專班 104 Accidental injury is the 3rd among the top ten leading causes of death. Because of the development of injury prevention and emergency medical system, the cases of accidental injuries has been obviously declining recently. However, according to Chang Gung Memorial Hospital’s trauma annual report in 2014, there were 160000 accidental injuries, 80 percent of them are able to leave the hospital after undergoing medical treatment. And there are 15 percent of the patients are classified into TTAS of major trauma patients. We should pay more attention to these patients and discuss about whether the national resources are used effectively under the limited resources. The purpose of this thesis is to analyze the cross-section and cross-sequent of medical resources utilization.The major trauma patients in National Health Insurance Research Database are used as the main research objects. Chia-Ding Hou 侯家鼎 2016 學位論文 ; thesis 93 zh-TW |
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碩士 === 輔仁大學 === 統計資訊學系應用統計碩士在職專班 === 104 === Accidental injury is the 3rd among the top ten leading causes of death. Because of the development of injury prevention and emergency medical system, the cases of accidental injuries has been obviously declining recently. However, according to Chang Gung Memorial Hospital’s trauma annual report in 2014, there were 160000 accidental injuries, 80 percent of them are able to leave the hospital after undergoing medical treatment. And there are 15 percent of the patients are classified into TTAS of major trauma patients. We should pay more attention to these patients and discuss about whether the national resources are used effectively under the limited resources.
The purpose of this thesis is to analyze the cross-section and cross-sequent of medical resources utilization.The major trauma patients in National Health Insurance Research Database are used as the main research objects.
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author2 |
Chia-Ding Hou |
author_facet |
Chia-Ding Hou Hung-Wen Wang 王鴻文 |
author |
Hung-Wen Wang 王鴻文 |
spellingShingle |
Hung-Wen Wang 王鴻文 Determinant Factors and Forecasting Model of Medical Resources Utilization of Inpatients with Major Trauma |
author_sort |
Hung-Wen Wang |
title |
Determinant Factors and Forecasting Model of Medical Resources Utilization of Inpatients with Major Trauma |
title_short |
Determinant Factors and Forecasting Model of Medical Resources Utilization of Inpatients with Major Trauma |
title_full |
Determinant Factors and Forecasting Model of Medical Resources Utilization of Inpatients with Major Trauma |
title_fullStr |
Determinant Factors and Forecasting Model of Medical Resources Utilization of Inpatients with Major Trauma |
title_full_unstemmed |
Determinant Factors and Forecasting Model of Medical Resources Utilization of Inpatients with Major Trauma |
title_sort |
determinant factors and forecasting model of medical resources utilization of inpatients with major trauma |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/66489788653433090415 |
work_keys_str_mv |
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