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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 李書行 | |
| dc.contributor.author | Pai-Chou Hsu | en |
| dc.contributor.author | 許派洲 | zh_TW |
| dc.date.accessioned | 2021-06-15T13:31:48Z | - |
| dc.date.available | 2025-08-17 | |
| dc.date.copyright | 2020-09-16 | |
| dc.date.issued | 2020 | |
| dc.date.submitted | 2020-08-13 | |
| dc.identifier.citation | 一、中文部份 衛生福利部統計處,衛生類公務統計,醫事機構與醫事人員統計,醫事人員發證人數,https://dep.mohw.gov.tw/DOS/lp-1728-113.html, 搜尋日期:2020年06月10日 行政院性別平等會,重要性別統計資料庫,國內指標,醫院平均住院日數,取自:https://www.gender.ey.gov.tw/gecdb/Stat_Statistics_DetailData.aspx?sn=P9FjL3GCbF7yB3lDgZAomQ%3D%3D d=194q2o4%2BotzoYO%2B8OAMYew%3D%3D, 搜尋日期:2020年06月10日 衛生福利部醫事司,醫療財團法人管理相關業務,04醫療財團法人財務報告,4-1醫療財團法人歷年財務報表,取自:https://dep.mohw.gov.tw/DOMA/cp-3175-15984-106.html, 搜尋日期:2020年06月10日 楊嘉玲. 2011. 國際醫療趨勢下護理人員加強英語溝通能力之必要性,護理雜誌 58卷1期:97-100 江政寰, 林湧達, 翁益基, 蘇毓真, 張紀卿, 李雅蓁 , et al. (2011 年 9 月 ). 運用品管圈手法改善住院藥局退藥時間。載於社團法人臺灣臨床藥學會 100 年度第十二屆第 2 次會員代表大會暨學術研討會大會手冊 , p.210. 臺中。 陳采潔,楊瑛碧,楊文理(2012年11月).單一劑量病房退藥率的成效分析。載於社團法人臺灣臨床藥學會 101 年度第十二屆第 3 次會員代表大會暨學術研討會大會手冊 , p.123. 高雄。 湯念湖, 宋明撰, 劉兆鴻, 陳景賢, 劉媖媚, 劉文雄. 2017. 中部某醫學中心提升住院藥品退藥效率之研究, 臺灣臨床藥學雜誌25卷 2 期:123-132 。 二、英文部份 ASHP Report, 2010, ASHP Guidelines on the Safe Use of Automated Dispensing Devices. Am J Health-Syst Pharm, 67: 483-490. Baker J, Draves M and Ramudhin A . 2010. Analysis of the medication management system in seven hospitals. Working paper, CareFusion. file:///Users/mac/Downloads/DI_Analysis-of-the-medication-management-system-in-seven-hospitals_WP_EN%20(1).pdf Bates I, John C, Bruna A, Fu P, and Aliabadi S. 2016. An analysis of the global pharmacy workforce capacity. Human Resources for Health, 14:61. Bourcier E, Madelaine S, Archer V, Kramp F, Paul M, and Astier A. 2016. Implementation of automated dispensing cabinets for management of medical devices in an intensive care unit: organisational and financial impact. Eur J Hosp Pharm, 23(2): 86–90. Davis A. Holdford, Thomas R. Brown. 2010. Introduction to Hospital Health-System Pharmacy Practice. Stephen F. Eckel, Fred M. Eckel. (Ed.), Medication Distribution Systems: 123-142. Débora de-Carvalho, José Luiz Alvim-Borges, and Cristiana Maria Toscano. 2017. Impact assessment of an automated drug-dispensing system in a tertiary hospital. Clinics (Sao Paulo), 72(10): 629–636. Fung EY, Leung B. 2009. Do Automated Dispensing Machines Improve Patient Safety? The “PRO” SIDE. CJHP, 62(6): 516-517. Hamilton D, Hope J. 2009. Do Automated Dispensing Machines Improve Patient Safety? The “CON” SIDE. CJHP, 62(6): 517-519. Institue of Medicine. 1999. “To Err is Human: Building a Safer Health System” Washington , DC: National Academy Press. Kheniene F, Bedouch P, Durand M, et al. 2008. Economic Impact of an Automated Dispensing System in an Intensive Care Unit. Ann Fr Anesth Reanim, 27(3): 208-15. Moreno MA, Bohorquez MV, Moreno VA. 2016. Evaluation of the efficiency of an automated dispensing cabinet (ADC) in a ward of internal medicine. OFIL, 26(2): 103-110. Portelli G, Canobbio M, Bitonti R, Costanza CD, Langella R, Ladisa V. 2019. The Impact of an Automated Dispensing System for Supplying Narcotics in a Surgical Unit: The Experience of the National Cancer Institute Foundation of Milan. Hospital Pharmacy, 54(5): 335-342. Pedersen CA, Schneider PJ, Scheckelhoff DJ. 2015. ASHP national survey of pharmacy practice in hospital settings: dispensing and administration — 2014, Am J Health Syst Pharm, 72(13): 1119-1137 Schneider PJ, Pedersen CA, Scheckelhoff DJ. 2018. ASHP national survey of pharmacy practice in hospital settings: dispensing and administration — 2017. Am J Health Syst Pharm, 75(16): 1203-1226. YH Chang, MN Shiu, CA Hsiung. 2013. Planning and evaluation in health workforce development: projection for the pharmacy workforce in Taiwan. J Formos Med Assoc , 112: 733-734 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/51365 | - |
| dc.description.abstract | 病人的用藥安全對藥師而言是則無旁貸的。但近年來藥師人力缺乏,讓以人為主調劑工作非常吃力。必須引進新的方法來取代人力調劑,才是長久解決之道。這是為什麼要引進智能藥櫃。但使用智能藥櫃對營運並不會產生正向金流,但品質提升帶來的價值能否超越機器的購置成本,都將會是這個模式值得探討的方向。研究目的如下: 本次研究的目的是希望能夠證明,智能藥櫃的使用不但能減少藥師的工作,也能達到投資平衡。個案醫院從處方覆蓋量、退藥量與錯誤率的變化,來評估在全院病房使用智能藥櫃的資本回饋。 研究範圍僅納入使用頻次為立即使用及需要時服用的醫令。所以在此使用條件下收集2020年3月至5月關於處方覆蓋量、退藥量與錯誤率的數字,並將退藥率與錯誤率與上線前的數字進行比較。 本研究得到以下的結果與結論 1. 處方覆蓋量平均每月為 8,480 筆,預估節省費用 976,896 元。 2. 退藥量平均每月減少9,988筆,預估節省費用1,024,769元。 3. 錯誤率下降0.00106%,預估節省費用8,178元。 4. 結論:投資回收年限21年又6個月。 本研究有下四個建議 1. 持續擴大醫令覆蓋量 2. 錯誤率下降雖然有限,但仍應持續努力避免犯錯。 3. 拓展智能藥櫃往新的使用方向發展 4. 致力改變藥師工作性質 | zh_TW |
| dc.description.abstract | The safety of the patient's medication is undeniable to pharmacists. However, the lack of manpower in pharmacists in recent years has made it very difficult for people to take the main prescription. New methods must be introduced to replace manpower adjustment, which is the long-term solution. This is why automated dispensing cabinets are introduced. However, the use of automated dispensing cabinets will not generate a positive cash flow for operations, but whether the value of quality improvement can exceed the purchase cost of the machine will be the direction of this model worth exploring. The research objectives are as follows: The purpose of this study is to prove that the use of automated dispensing cabinets can not only reduce the work of pharmacists, but also achieve a balanced investment. The case hospital evaluates the capital feedback for the use of automated dispensing cabinets in the wards of the entire hospital from the changes in prescription coverage, returned drugs, and error rates. The scope of the study only included medical orders that were used immediately and when as needed. So under these conditions of use, collect the numbers of prescription coverage, drug returned and error rate from March to May 2020, and compare the drug returned and error rate with the numbers before going online. This study obtained the following results and conclusion 1. The average amount of prescription coverage is 8,480 per month, and the estimated cost savings are NTD 976,896. 2. The amount of returned drugs decreased by an average of 9,988 per month, with an estimated cost savings of NTD 1,024,769 . 3. The error rate reduce by 0.00106%, and the estimated cost savings are NTD 8,178. 4. Conclusion: The investment recovery period is 21 years and 6 months. There are four recommendations for this study 1. Continue to expand the coverage of medical orders. 2. Although the decline in error rate is limited, continuous efforts should be made to avoid making mistakes. 3. Expand the development of automated dispensing cabinets in new directions. 4. Committed to changing the nature of pharmacist's work. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T13:31:48Z (GMT). No. of bitstreams: 1 U0001-1008202010331200.pdf: 2738061 bytes, checksum: 964d493cb6fd0091b305a8bff40bb042 (MD5) Previous issue date: 2020 | en |
| dc.description.tableofcontents | 口試委員審定書 ii 誌謝 iii 中文摘要 iv THESIS ABSTRACT v 目錄 vii 圖目錄 ix 表目錄 x 第一章 緒論 1 第一節、研究動機與背景 1 第二節、研究目的 2 第三節、研究架構與方法 2 第四節、研究範圍與限制 3 第二章 文獻探討 4 第一節、住院藥物配送制度的轉變 4 第二節、智能藥櫃利弊分析研究 8 第三節、智能藥櫃在其他國家使用情形 9 第四節、智能藥櫃資本決策相關文獻 10 第三章 試驗設計 13 第一節、個案醫院介紹 13 第二節、上線前的準備工作 14 第三節、前期經驗 16 第四節、試驗設計 20 第四章 研究結果 23 第一節、醫令覆蓋量 23 第二節、退藥量 23 第三節、錯誤率分析 25 第四節、其他智能藥櫃相關費用與總結 26 第五節、個別病房分析 27 第五章 結論與建議 30 第一節、研究建議 30 第二節、研究結果 32 參考文獻 33 附錄 36 圖目錄 圖2-1 智能藥櫃 6 圖2-2 智能藥櫃抽屜形態比較 7 圖2-3 使用在藥局藥品配送系統的科技 9 圖2-4 藥品配送制度的演進 10 圖3-1 螢幕中英文對照圖 15 圖3-2 門診化療中心導入智能藥櫃前後流程圖 19 圖3-3 智能藥櫃在門診化學治療中心使用成效 20 圖4-1 2018-2020年3-5月平均用藥總筆數、退藥總筆數與退藥率 24 圖4-2 智能藥櫃上線前後錯誤率 25 表目錄 表2-1 三種藥品配送制度的主要面向 5 表3-1 個案醫院2016-2018財務報表 14 表3-2 急診改善前後總耗時比較 17 表4-1 各病房平均每月醫令覆蓋量與每年藥師人事費用差異 27 表4-2 各病房平均每月退藥總筆數與每年藥師人事費用差異 28 表4-3 各病房導入智能藥櫃後產生的人事費用差異 28 表4-4 各病房導入智能藥櫃後的回收年限 29 | |
| dc.language.iso | zh-TW | |
| dc.subject | 智能藥櫃 | zh_TW |
| dc.subject | 癌症醫院 | zh_TW |
| dc.subject | 資本化決策 | zh_TW |
| dc.subject | 調配錯誤率 | zh_TW |
| dc.subject | 退藥 | zh_TW |
| dc.subject | 智能藥櫃 | zh_TW |
| dc.subject | 癌症醫院 | zh_TW |
| dc.subject | 資本化決策 | zh_TW |
| dc.subject | 調配錯誤率 | zh_TW |
| dc.subject | 退藥 | zh_TW |
| dc.subject | Capitalization Decision | en |
| dc.subject | Cancer center | en |
| dc.subject | Dispensing error rate | en |
| dc.subject | Returned drug | en |
| dc.subject | Dispensing error rate | en |
| dc.subject | Automated dispensing cabinet | en |
| dc.subject | Returned drug | en |
| dc.subject | Capitalization Decision | en |
| dc.subject | Cancer center | en |
| dc.subject | Automated dispensing cabinet | en |
| dc.title | 智能藥櫃導入之資本化決策—以癌症醫院為例 | zh_TW |
| dc.title | Capitalization Decision for the introduction of Automated Dispensing Cabinet — A Case Study on Cancer Center | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 108-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張明輝,黃崇興 | |
| dc.subject.keyword | 智能藥櫃,退藥,調配錯誤率,資本化決策,癌症醫院, | zh_TW |
| dc.subject.keyword | Automated dispensing cabinet,Returned drug,Dispensing error rate,Capitalization Decision,Cancer center, | en |
| dc.relation.page | 39 | |
| dc.identifier.doi | 10.6342/NTU202002770 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2020-08-14 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 會計與管理決策組 | zh_TW |
| 顯示於系所單位: | 會計與管理決策組 | |
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