Understanding the medical cost structure through data mining techniques: A case study of regional hospital.
碩士 === 國立高雄師範大學 === 資訊教育研究所 === 98 === As the Bureau of National Health Insurance (BNHI) gradually reformed the payment system, to control the individual medical payment policy, the operating strategy had significant influence on survival and development of hospitals. Since traditional descriptive s...
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ndltd-TW-098NKNU53950112015-10-13T18:25:50Z http://ndltd.ncl.edu.tw/handle/82801355056066482903 Understanding the medical cost structure through data mining techniques: A case study of regional hospital. 以資料探勘技術探討醫療費用之結構-以某區域醫院為例 Hsieh,Chia-Jung 謝佳容 碩士 國立高雄師範大學 資訊教育研究所 98 As the Bureau of National Health Insurance (BNHI) gradually reformed the payment system, to control the individual medical payment policy, the operating strategy had significant influence on survival and development of hospitals. Since traditional descriptive statistics were insufficient in analyzing the causal relationship of fee variations within operating performance, this research compared the trend and variations of medical fee in the same time period through clustering data mining, and the analysis started from the overall level to the fee types in each department, and conduct vertical in-depth explorations on appropriateness of medical resources usage, to provide effective predictions and supervision, and simultaneously avoid from overlooking the overall medical market trend due to being bound in past experiences. It was expected to provide managers in hospital references for operating strategy, planning and developing focuses. Pei-Chen Sun 孫培真 2010 學位論文 ; thesis 62 zh-TW |
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碩士 === 國立高雄師範大學 === 資訊教育研究所 === 98 === As the Bureau of National Health Insurance (BNHI) gradually reformed the payment system, to control the individual medical payment policy, the operating strategy had significant influence on survival and development of hospitals. Since traditional descriptive statistics were insufficient in analyzing the causal relationship of fee variations within operating performance, this research compared the trend and variations of medical fee in the same time period through clustering data mining, and the analysis started from the overall level to the fee types in each department, and conduct vertical in-depth explorations on appropriateness of medical resources usage, to provide effective predictions and supervision, and simultaneously avoid from overlooking the overall medical market trend due to being bound in past experiences. It was expected to provide managers in hospital references for operating strategy, planning and developing focuses.
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author2 |
Pei-Chen Sun |
author_facet |
Pei-Chen Sun Hsieh,Chia-Jung 謝佳容 |
author |
Hsieh,Chia-Jung 謝佳容 |
spellingShingle |
Hsieh,Chia-Jung 謝佳容 Understanding the medical cost structure through data mining techniques: A case study of regional hospital. |
author_sort |
Hsieh,Chia-Jung |
title |
Understanding the medical cost structure through data mining techniques: A case study of regional hospital. |
title_short |
Understanding the medical cost structure through data mining techniques: A case study of regional hospital. |
title_full |
Understanding the medical cost structure through data mining techniques: A case study of regional hospital. |
title_fullStr |
Understanding the medical cost structure through data mining techniques: A case study of regional hospital. |
title_full_unstemmed |
Understanding the medical cost structure through data mining techniques: A case study of regional hospital. |
title_sort |
understanding the medical cost structure through data mining techniques: a case study of regional hospital. |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/82801355056066482903 |
work_keys_str_mv |
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