住院病人的用藥品質與安全長久以來一直受到重視，因為醫療疏失事件中，與藥物相關的錯誤事件佔據極高的比例，許多醫療機構藉由系統層層把關及偵測錯誤，特別是在藥物給予的正確性上置入了許多醫療資訊技術與設備，但快速且流暢的將醫師處方後的藥物送至病人端卻是機構疏忽或較少關注的一環。條碼技術(Bar-code)在醫療上發展成熟且普遍，常被運用在醫療產業的自動化技術之一，在醫院管理者提供資源支持下，促使院內資訊系統以條碼串聯部門間業務，以超商到貨取貨通知為發想而完成藥品傳送優化系統的創新設備，讓把關病人用藥安全的防護網更趨完整。
本研究測試對象為南部醫學中心有機會使用到系統之醫療相關人員，以科技接受模式為基本架構並加入經先前研究驗證過之變數做為本次探討影響人員「藥品傳送優化系統」使用意圖之重要因素。問卷分為兩個版本，對象分別為醫療人員及勤務人員，問卷方式以電子及紙本同時進行。醫療人員回收有效問卷180份，有效回收率90%；勤務人員有效問卷58份，有效回收率85.5%。結果發現，感知有用性、管理者支持對醫療人員及勤務人員使用藥品傳送優化系統的使用意圖有顯著影響，且呈現中高度正相關。信任對於醫療人員使用系統的行為意圖結果亦有顯著影響。
期待在藥品傳送上的創意構想結合科技技術，使人員的服務模式更精進。但要達成預期效益，除了在功能品質上應符合使用者需求認知進而影響到使用者態度外，最重要的不外乎是提升醫療相關人員對系統的涉入意願，使系統的使用融入日常工作中。

The quality of medication and safety of patients have long been concerned. In some medical errors, the medication-related errors account for an extremely high percentage. Lots of medical institutions use the system to detect the errors, especially for the accuracy of the provision of medicine which are put various medical resources and equipment. However, the rapid and smooth delivery of medications to the patients after the physician's prescription is neglected or concerned less. The development of Bar-code is mature and widespread in medical area which is used in the automatic technology of medical industry. With the support of resources provided by hospital- management, Bar-code is used to link inter-departmental operations in the hospital information system. Also, this technology is used to complete the drug delivery optimization system with the idea of arrival notifications of convenient store, thus completing the protective net for patients’ medical safety.
In this study, the test subjects are healthcare related personnel who have the opportunity to use the system at the southern medical center. The technology acceptance model is a basic structure which is added the variables validated by previous studies to be the important factors of the intention of the personnel to use the “Drug Delivery Optimization System”. The questionnaire has two versions,one is for healthcare professionals and the other is for the drug delivery staffs. The questionnaire is taken by IE and paper at the same time. A total of 268 questionnaires were distributed with 180 and 58 valid returned questionnaires for the healthcare professionals and the drug delivery staffs ,the rate of effectiveness is 90% and 85.5%. The result shows perceived usefulness and management support have significant positive effect on intention to use by both healthcare professionals and the drug delivery staffs. Trust also has significant positive effect on the intension to use “Drug Delivery Optimization System” by the healthcare professionals.
Hoping that the creative idea in drug delivery combining technology can promote the service mode. However, to achieve the expected benefits, apart from the functional quality that meets the users' needs and cognition, which in turn affects the users' attitude, the most important thing is to enhance the willingness of healthcare related personnel to get involved in the system, so that the use of the system can be integrated into daily life.

學位論文審定書 i
中文摘要 ⅱ
英文摘要 ⅲ
圖次 vii
表次 viii
第一章緒論 1
第一節 研究背景 1
第二節 研究動機 4
第三節 研究目的 5
第二章文獻探討 7
第一節 即時藥囑 (STAT Medication ) 7
第二節 科技接受模式(Technology Acceptance Model) 8
第三節 預防醫療疏失之資訊技術應用 錯誤! 尚未定義書籤。
第三章研究方法 15
第一節 研究架構 16
第二節 研究假設 16
第三節 問卷設計與構面變數定義與衡量 17
第四節 專家效度與問卷前測 18
第五節 分析方法 21
第四章資料分析與研究結果 23
第一節 描述性統計 23
第二節 推論性統計 28
第三節 複迴歸分析 42
第五章結論與建議 46
第一節 討論 46
第二節 研究限制與建議 48
第三節 研究發現與貢獻 49
參考文獻 50
附錄一 本研究問卷(一) 57
附錄二 本研究問卷(二) 58
附錄三 本研究專家效度 59
 
圖次
圖 二 1最初的科技接受模式 10
圖 二 2預防醫療疏失之資訊技術應用 11
圖 二 3藥品傳送優化系統功能 15
圖 三 1本研究架構 16
 
表次
表 三 1本研究假設 17
表 三 2 兩份問卷專家效度CVI(content validity index)計算值 18
表 三 3前測信度分析Cronbach’s α值 19
表 三 4人口學資料操作型定義 19
表 三 5研究架構構面定義 20
表 四 1醫療人員樣本次數分配情形 24
表 四 2勤務人員樣本次數分配情形 26
表 四 3醫療人員之構面敘述性統計 27
表 四 4勤務人員之構面敘述性統計 27
表 四 5醫療人員性別與構面之關係 28
表 四 6醫療人員教育程度與構面之關係 28
表 四 7醫療人員機構職稱與各構面之關係 29
表 四 8醫療人員職稱身分與構面之關係 29
表 四 9醫療人員主管職與構面之關係 30
表 四 10勤務人員性別與構面之關係 31
表 四 11勤務人員教育程度與構面之關係 31
表 四 12勤務人員職稱身分與構面之關係 32
表 四 13勤務人員主管職與構面之關係 32
表 四 14醫療人員人口學特性與感知有用性之單因子變異分析 33
表 四 15醫療人員人口學特性與感知易用性之單因子變異分析 34
表 四 16醫療人員人口學特性與感知易用性之單因子變異分析 34
表 四 17醫療人員人口學特性與信任之單因子變異分析 35
表 四 18醫療人員人口學特性與管理者支持之單因子變異分析 35
表 四 19醫療人員人口學特性與使用意圖之單因子變異分析 36
表 四 20勤務人員人口學特性與感知有用性之單因子變異分析 37
表 四 21勤務人員人口學特性與感知易用性之單因子變異分析 37
表 四 22勤務人員人口學特性與主觀意識之單因子變異分析 38
表 四 23勤務人員人口學特性與信任之單因子變異分析 38
表 四 24勤務人員人口學特性與管理者支持之單因子變異分析 39
表 四 25勤務人員人口學特性與使用意圖之單因子變異分析 39
表 四 26相關係數判別標準 40
表 四 27醫療人員皮爾森相關分析 40
表 四 28勤務人員皮爾森相關分析 41
表 四 29醫療人員職稱與科技接受構面對使用意圖之迴歸分析 42
表 四 30醫療人員職稱與科技接受構面逐步迴歸分析結果 42
表 四 31勤務人員主管職與科技接受構面對使用意圖之迴歸分析 43
表 四 32勤務人員主管職與科技接受構面對使用意圖經逐步迴歸分析後結果 43
表 四 33醫療人員人口學變項對於構面的表現 44
表 四 34勤務人員人口學變項對於構面的表現 45
表 四 35本研究之假設驗證 45

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