Business intelligence tools to analyze data to improve NIS reporting clinical quality of care
碩士 === 國立臺北護理健康大學 === 資訊管理研究所 === 102 === Through the layouts of Business Intelligence, this research adopts SQL to further understand the “falling” incidents out of unusual incident data obtained from community data bank, and then to produce a graphic analysis on falling incidents. In addition to...
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ndltd-TW-102NTCN03960142016-05-22T04:40:15Z http://ndltd.ncl.edu.tw/handle/81000543212465603144 Business intelligence tools to analyze data to improve NIS reporting clinical quality of care 以商業智慧工具分析NIS通報數據提升臨床照護品質 Chen-Chang Lan 藍振章 碩士 國立臺北護理健康大學 資訊管理研究所 102 Through the layouts of Business Intelligence, this research adopts SQL to further understand the “falling” incidents out of unusual incident data obtained from community data bank, and then to produce a graphic analysis on falling incidents. In addition to , In this paper, we set KPI value is 8. This research also views hospital patients as customers and attempts to understand the reasons behinds patients’ falling with customer management and customer orientation theories, which analyzes the issue from the perspective of patients. After maintaining a deeper understanding of the fundamental factors behind patients’ falling, this research should be made available to management level to efficiently promote patient safety and boost hospital image. Nan-Chen Hsieh 謝楠楨 2014 學位論文 ; thesis 52 zh-TW |
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碩士 === 國立臺北護理健康大學 === 資訊管理研究所 === 102 === Through the layouts of Business Intelligence, this research adopts SQL to further understand the “falling” incidents out of unusual incident data obtained from community data bank, and then to produce a graphic analysis on falling incidents. In addition to , In this paper, we set KPI value is 8.
This research also views hospital patients as customers and attempts to understand the reasons behinds patients’ falling with customer management and customer orientation theories, which analyzes the issue from the perspective of patients. After maintaining a deeper understanding of the fundamental factors behind patients’ falling, this research should be made available to management level to efficiently promote patient safety and boost hospital image.
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Nan-Chen Hsieh |
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Nan-Chen Hsieh Chen-Chang Lan 藍振章 |
author |
Chen-Chang Lan 藍振章 |
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Chen-Chang Lan 藍振章 Business intelligence tools to analyze data to improve NIS reporting clinical quality of care |
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Chen-Chang Lan |
title |
Business intelligence tools to analyze data to improve NIS reporting clinical quality of care |
title_short |
Business intelligence tools to analyze data to improve NIS reporting clinical quality of care |
title_full |
Business intelligence tools to analyze data to improve NIS reporting clinical quality of care |
title_fullStr |
Business intelligence tools to analyze data to improve NIS reporting clinical quality of care |
title_full_unstemmed |
Business intelligence tools to analyze data to improve NIS reporting clinical quality of care |
title_sort |
business intelligence tools to analyze data to improve nis reporting clinical quality of care |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/81000543212465603144 |
work_keys_str_mv |
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