跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.17) 您好!臺灣時間:2025/09/03 16:18
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:陳祁崚
研究生(外文):Chi-Leng Chen
論文名稱:以適配理論為基礎於急診X光醫囑系統之成效分析
論文名稱(外文):The Performance Assessment of Emergency Departmental X-Ray Order Entry System: Based on Fit Theory
指導教授:林怡君林怡君引用關係
指導教授(外文):I-Chun Lin
口試委員:鄭博文許天成
口試委員(外文):Bor-Wen ChengTien-Cheng Hsu
口試日期:2015-06-11
學位類別:碩士
校院名稱:國立雲林科技大學
系所名稱:工業工程與管理系
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:中文
論文頁數:118
中文關鍵詞:認知適配理論任務科技適配理論醫囑系統系統成效
外文關鍵詞:Cognitive Fit TheoryTask-Technology FitCPOESystem evaluation
相關次數:
  • 被引用被引用:1
  • 點閱點閱:279
  • 評分評分:
  • 下載下載:23
  • 收藏至我的研究室書目清單書目收藏:1
目前急診X光醫囑系統的設計多為文數字輸入介面,但面對急診高負荷的工作特性,與普遍醫護人力吃緊,此種以文數字代碼來完成X光檢查的開立,容易發生開單錯誤,並使得後續流程產生連環性的錯誤。根據實務觀察,開立檢查醫囑的錯誤以『左右相反、部位開立錯誤、醫囑重複開立』最常發生,有鑑於此,個案醫院急診部希望進行X光醫囑系統介面優化,採用圖形化介面取代過去輸入代碼的方式完成開單,藉此降低X光檢查開單的錯誤率,但推動成果不彰。
本研究協助個案醫院進行急診X光醫囑系統的成效分析,並試圖找出系統推行受阻的原因。以認知適配理論為基礎,採用實驗室實驗法分析新介面導入後對於決策時間和品質的改善與否;以科技任務適配理論為基礎,納入優使性變數並發展問卷以收集急診醫師對於標的系統的評價資料。此外,也收集個案醫院品管資料與系統導入前後X光開單錯誤率資料。
實驗結果顯示,使用圖形化介面開立X光檢查醫囑兩者具有認知適配性,反應的開單績效結果較好。問卷資料分析顯示整體模型解釋力達73%,其中,科技特性正向影響任務科技適配度,且任務科技適配度正向影響工作績效,與過去研究以及實驗結果一致。此外,科技適配度也正向影響系統使用與優使性、促成條件正向影響系統使用、優使性正向影響工作績效。本研究建議個案醫院應當採納使用者的建議,後續修改介面,提高介面優使性,此外,適時介入管理措施並輔以獎賞制度,以利扭轉情勢與提高醫師接受與採用新介面。

The current order entry system for X-rays is based on the input of characters and numbers. In a fast-paced, stressful and often short-staffed workplace like the emergency department, this input method is prone to errors, leading to incorrect or unnecessary X-ray scans that could cause a chain reaction in the resultant processes of medical treatment. Clinical observations showed that right-left reversal, incorrect targets and unnecessary repeats to be the three most commonplace mistakes. To tackle these, the case hospital introduced a graphical input interface to the X-ray order entry system at its emergency department to replace the previous method of keying in reference codes. With the aim to improve the accuracy rate of X-ray ordering, this system optimization was somehow met with limited successes.
To find out the reasons, this research helped the case hospital assess the efficacy of the X-ray order entry system. Experimental methods and questionnaire survey were used to explore emergency practitioners’ evaluation of the system. Based on the cognitive fit theory and task-technology fit theory, the experiments collected data of system users’ objective opinions, which offers the basis of the survey’s questionnaire design. The survey then asked subjective feedback from the users. Combination of an objective evaluation via experiments and subjective one via questionnaire helped improve the completeness of results and the study’s impact factor.
The cognitive fit analysis revealed that the graphical interface for X-ray order entry was perceived as suitable with users recognizing its higher efficiency. Questionnaire data analyses confirmed the overall explanatory power up to 73%. Technology characteristics have an effect on the task-technology fit, which subsequently influences work efficiency. Task-technology fit have significant positively effect on utilization and usability. Facilitating conditions have significant positively effect on utilization. Usability have significant positively effect on performance. The research advises hospital managers to learn from user feedback about the effectiveness of the system and use such knowledge as the reference for the system’s wider applications, function modification and future updates.

摘要 i
ABSTRACT ii
目錄 iv
表目錄 vii
圖目錄 ix
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 8
第三節 研究流程 10
第二章 文獻探討 11
第一節 關於醫療業 11
2.1.1 急診醫療 12
2.1.2 病人安全 15
2.1.3 醫療品質 17
第二節 醫囑系統 18
2.2.1 系統介紹 18
2.2.2 系統應用與相關研究 19
第三節 適配理論 20
2.3.1 認知適配理論 20
2.3.2 任務科技適配理論 24
第三章 研究方法 27
第一節 研究架構 27
第二節 研究假說 28
第三節 研究變數定義 29
3.3.1 自變數 29
3.3.2 依變數 30
第四節 實驗設計 30
3.4.1 實驗分組與對象 30
3.4.2 實驗任務與系統介紹 31
3.4.3 實驗流程 36
第五節 研究工具 38
3.5.1 系統成效問卷 39
第六節 資料分析方法 41
第七節 研究倫理 41
第八節 個案醫院 41
第四章 資料分析 43
第一節 樣本基本資料與問項之描述性統計 43
第二節 信度與效度分析 48
4.2.1 信度 48
4.2.2 效度 49
第三節 實驗數據分析 53
4.3.1 獨立樣本t檢定 55
4.3.2 單因子變異數分析 55
第四節 結構方程模型 57
4.4.1 測量模型分析 58
4.4.2 結構模型分析 67
第五節 假說檢定 71
第五章 討論 74
第一節 實驗設計 74
第二節 系統成效問卷 76
第六章 結論與建議 81
第一節 結論 81
第二節 研究建議 82
第三節 研究限制 83
第四節 未來研究方向 84
參考文獻 86
附錄一、個案醫院急診部之檢查醫囑開立錯誤事件 96
附錄二、各構面之操作型定義與問項 98
附錄三、系統成效問卷 104

一、中文文獻
于蓓華、許世欣、李亭亭(2009)。醫囑資訊系統之探討。馬偕護理雜誌,3(1),頁 7-12。
王昱豐、徐美青、林俊龍(2005)。病患安全及以病人為中心之醫療照護—兼論本院推動之經驗。慈濟醫學,17(4),頁 1-13。
王立敏(2011)。急診醫師之未來發展。臺灣急診醫學會醫誌。3(1),頁 1-5。
石崇良、蘇喜(2004)。運用資訊提升病人安全。台灣醫學,8(6),頁 807-816。
行政院衛生福利部(2013)。公共衛生年報。
行政院衛生福利部(2013)。台灣病人安全通報系統-2013年年報。
阮祺文、陳日昌、林宏榮、林妍如、林霖、林尹霈、陳秀菁(2007)。台灣急診專科醫師人力資源之分析與研究。臺灣急診醫學會醫誌,9(1),頁 26-34。
呂政欣(2010)。從IBM Healthcare 2015-看未來健康醫療服務的轉型。擷取自 IEK產業情報網: http://ieknet.iek.org.tw/BookView.do?domain=61&rptidno=38667&opt=3
吳佳真、黃衍文、劉德明、梁雅菁、王雅慧、陳皓瑋(2012)。CAD標準與多媒體程式設計建置醫囑圖形輸出入介面之研究。醫療資訊雜誌,21(2),頁 27-42。
吳統雄(1984)。電話調查:理論與方法。台北:聯經出版事業公司。
李友專、王博彥、葉明莉(2013)。病人安全資訊系統。載於張慧朗(主編),醫學資訊管理學(頁 507-524)。臺灣: 華杏出版社。
林作彥、彭素珍(2012)。淺談台灣急診暴力。臺灣急診醫學會醫誌,4(3),頁 61-65。
林恆慶、陳楚杰、許銘恭(2003)。病人安全相關議題之探討。醫院,36(5),頁 69-78。
洪浚逢(2011)。以任務-科技適配理論評估醫院教學/會議資訊系統之使用績效。 澄清醫護管理雜誌,7(4),頁 32-43。
洪新原、陳鴻基、董亮君(2004)。擴充認知適合理論以考量使用者專業知識差異之研究。資訊管理學報,11(4),頁 1-28。
洪新原、謝碧容、辜文聰(2010)。領域知識對於使用護理資訊認知適合之影響。 資訊管理學報,17(3),頁 45-70。
孫智麗、李卓倫(2007)。台灣醫療產業發展關鍵因素與趨勢分析。台灣經濟研究月刊,30(5)。
陳煇煌、陳俊詠、陳世智(2011)。整合科技準備度、任務-科技適配模式與後接受模式探討雲端服務持續使用意圖之實證研究。第七屆知識社群研討會,論文編號:EC-09, 2011/05/28。
陳寬裕、王正華(2011)。論文統計分析實務SPSS與AMOS的運用第二版。臺灣:五南圖書出版社。
徐建業(2013)。診間醫令系統。載於張慧朗(主編),醫學資訊管理學(頁 453-466)。臺灣: 華杏出版社。
張偉豪、鄭時宜(2012)。與結構方程模型共舞。新北市:前程文化。
許國敏、莊秀文、莊淑婷(2006)。病人安全管理與風險管理實務導引。臺灣: 華杏出版社。
曾若婷、王慧瑜、林明輝(2013)。整合藥師臨床監測作業及電腦醫囑決策系統降低抗生素劑量疏失及藥物不良事件發生率。醫院雙月刊,46(1),頁 26-35。
楊志良(2011)。全民健保的迷思。科學人雜誌,頁 74-76。
楊秀儀(2003)。醫院之醫療糾紛責任風險預料與因應策略探討。醫務管理,4(2), 頁 37-55。
楊哲銘、龍安靖(2013)。醫療品質管理。載於張慧朗(主編),醫學資訊管理學(頁 559-573)。臺灣: 華杏出版社。
廖浩欽、胡百敏(2011)。急診專科醫師合理的工作收入。臺灣急診醫學會醫誌,3(1),頁 6-12。
劉典嚴(2007)。漫談急診服務對人本醫療經營模式之影響。品質月刊,48(3),頁 11-13。
劉籹君、黃興進、廖則竣(2010)。決策支援系統使用績效之實證研究:結合任務-科技適配與資訊系統成功模式。電子商務學報,12(3),頁 407-430。
蔡米山(2001)。如何提升急診醫療服務與品質。高醫醫訊月刊,21(6)。
龍安靖(2013)。急診醫令系統。載於張慧朗(主編),醫學資訊管理學(頁 313-335)。臺灣: 華杏出版社。
顏秉文、蕭士軒(2007)。醫囑電腦化系統。慈濟醫學,19(1),頁 29-32。
顏奕仁、周惠文、林裕勛(2010)。個人工作績效之探討-整合任務科技適配模式與社會認知理論。中原企管評論,8(1),頁 143-166。
顏志展、唐大鈿(2013)。醫療資訊系統架構總覽。載於張慧朗(主編),醫學資訊管理學(頁 65-75)。臺灣: 華杏出版社。


二、英文文獻
Adipat, B., Zhang, D., & Zhou, L. (2011). The Effects of Tree-View Based Presentation Adaptation on Model Web Browsing. MIS Quarterly, 35(1), pp. 99-122.
Agarwal, R., Sinha, A.P., & Tanniru, M. (1996). Cognitive Fit in Requirements Modeling: A Study of Object and Process Methodologies. Journal of Management Information Systems, 13(2), pp. 137-162.
Bacic, D. (2014). The Role of Cognitive Effort in Decision Performance Using Data Representations: A Cognitive Fit Perspective. https://etd.ohiolink.edu/.
Berger, R.G., & Kichak, J.P. (2004). Computerized Physician Order Entry: Helpful or Harmful? Journal of the American Medical Informatics Association, 11(2), pp. 100-103.
Bloomfield, E.L. (2007). Combining decision making, protocols, and computerized physician order entry: it is the future. Critical Care Medicine, 35(2), pp. 680.
Brunelle, E. (2009). The moderating role of cognitive fit in consumer channel preference. Journal of Electronic Commerce Research, 10(3), pp. 178-195.
Byrne, B.M. (2009). Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Second Edition. ISBN: 0805863737.
Cardinaels, E. (2008). The interplay between cost accounting knowledge and presentation formats in cost-based decision-making. Accounting, Organizations and Society, 33(6), pp. 582-602.
Chan, H.C., Goswami, S., & Kim, H.W. (2012). An Alternative Fit through Problem Representation in Cognitive Fit Theory. Journal of Database Management, 23(2), pp. 22-43.
Chin, W.W. (1998). Issues and Opinion on Structural Equation Modeling. MIS Quarterly, 22(1), pp. 7-16.
Chin, W.W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, pp. 295-336.
Colpaert, K., Decruyenaere, J. (2009). Computerized physician order entry in critical care. Best practice & research Clinical anaesthesiology, 23(1), pp. 27-38.
Cooper, J.B., Gaba, D.M., Liang, B., Woods, D., & Blum, L.N. (2000). The National Patient Safety Foundation agenda for research and development in patient safety. Medscape General Medicine, 2(3), pp. E38.
Cohen, Jacob. (1988). Statistical Power Analysis for the Behavioral Sciences ,2nd ed., ISBN: 0805802835.
Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quality, 13(3), pp.319-340.
Dennis, A.R., & Carte, T.A. (1998). Using Geographical Information Systems for Decision Making: Extending Cognitive Fit Theory to Map-Based Presentations. Information Systems Research, 9(2), pp. 194-203.
Donabedian, A. (1980). The Definition of Quality and Approaches to Its Assessment. Ann Arbor, MI: Health Administration Press.
Donabedian, A. (2005). Evaluating the Quality of Medical Care. The Milbank Quarterly, 83(4), pp. 691-729.
Dunn, C., & Grabski, S. (2001). An Investigation of Localization as an Element of Cognitive Fit in Accounting Model Representations. Decision Sciences, 32(1), pp. 55-94.
Eierman, M.A., Niederman, F., & Adams, C. (1995). DSS theory: A model of constructs and relationships. Decision Support Systems, 14(1), pp. 1-26.
Epstein, S., Pacini, R., Denes-Raj, V., & Heier, H. (1996). Individual Difference in Intuitive-Experiential and Analytic-Rational Thinking Styles. Journal of Personality and Social Psychology, 71(2), pp. 390-405.
Frownfelter, L.C. (1998). The Effects of Differing Information Presentations of General Purpose Financial Statements on Users' Decisions. Journal of Information Systems, 12(2), pp. 99-107.
Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with
unobservable variables and measurement error. Journal of Marketing Research, 18(1), pp. 39-50.
Gefen, D., & Straub, D. (2005). A Practical Guide to Factorial Validity Using PLS-Graph: Tutorial and Annotated Example. Communications of the Association for Information Systems, 16(1), pp. 91-109.
Goodhue, D.L., & Thompson, R.L. (1995). Task-Technology Fit and Individual Performance. MIS Quarterly, 19(2), pp. 213-236.
Goodhue, D.L. (1998). Development and Measurement Validity of a Task-Technology Fit Instrument for User Evaluations of Information Systems. Decision Sciences, 29(1), pp. 105-138.
Goswami, S., Chan, H.C., & Kim, H.W. (2008). The Role of Visualization Tools in Spreadsheet Error Correction from a Cognitive Fit Perspective. Journal of the Association for Information Systems, 9(6), pp. 321-343.
Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2009). Multivariate Data Analysis, 7th ed., Englewood Cliffs, NJ:Prentice Hall. ISBN: 0138132631.
Hair, J.F., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling. Thousand Oaks: Sage. ISBN: 9781452217444.
Henseler, J., Ringle, C.M., & Sinkovics, R.R. (2009). The use of partial least squares path modeling in international marketing. In: Advances in International Marketing. Bingley: Emerald, pp. 277-319.
Hershberger, S.L. (2003). The Growth of Structural Equation Modeling: 1994-2001, STRUCTURAL EQUATION MODELING, 10(1), pp. 35-46.
Hong, W., Thong, James Y.L., & Tam, K.Y. (2004). The Effects of Information Format and Shopping Task on Consumers' Online Shopping Behavior: A Cognitive Fit Perspective. Journal of Management Information Systems, 21(3), pp. 149-184.
Institute of Medicine. (1999). To Err is Human: Building A Safer Health System. Washington, D.C.: National Academy Press.
Institute of Medicine. (2001). Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, D.C.: The National Academies Press.
Institute of Medicine. (2006). Preventing Medication Errors: Quality Chasm Series. Washington, D.C.: The National Academies Press.
Institute of Medicine. (2010). Future Directions for the National Healthcare Quality and Disparities Reports. Washington, D.C.: The National Academies Press.
Jarupathirun, S., & Zahedi, F.M. (2007). Exploring the Influence of Perceptual Factors in the Success of Web-Based Spatial DSS. Decision Support Systems, 43(3), pp. 933-951.
Joshi, A., de Araujo Novaes, M., Machiavelli, J., Iyengar, S., Vogler, R., Johnson, C., Zhang, J., & Chiehwen, E. (2012). A Human Centered GeoVisualization framework to facilitate visual exploration of telehealth data: A case study. Technology and Health Care, 20(6), pp. 457-471.
Khatri, V., Vessey, I., Ramesh, V., Clay, P., & Park, S.J. (2006). Understanding Conceptual Schemas: Exploring the Role of Application and IS Domain Knowledge. Information Systems Research, 17(1), pp. 81-99.
Lee, T.H. (2010). Turning doctors into leaders. Harvard business review, 88(4), pp. 52-58.
Lee, C.C., Cheng, H.K., & Cheng, H.H. (2007). An Empirical Study of Mobile Commerce in Insurance Industry: Task–Technology Fit and Individual Differences. Decision Support Systems, 43(1), pp. 95-110.
Leape, L.L. (1994). Error in Medicine. JAMA, 272(23), pp. 1851-1857.
Leape, L.L., Berwick, D.M., & Bates, D.W. (2002). What Practices Will Most Improve Safety? JAMA, 288(4), pp. 501-507.
Lewis, J.R. (1993). IBM Computer Usability Satisfaction Questionnaires:Psychometric Evaluation and Instructions for Use. International Journal of Human-Computer Interaction, 7(1), pp. 57-78.
Maruyama, G.M. (1998). Basics of structural equation modeling. Thousand Oaks, CA: Sage Publications.
Mennecke, B.E., Crossland, M.D., & Killingsworth, B.L. (2000). Is a map more than a picture? the role of SDSS technology, subject characteristics, and problem complexity on map reading and problem solving. MIS Quarterly, 24(4), pp. 601-629.
Miller, G.A. (1956). The magical number seven plus or minus two: some limits on our capacity for processing information. Psychological Review, 63(2), pp. 81–97.
Murff, H.J., Patel, V.L., Hripcsak, G., & Bates, D.W. (2003). Detecting adverse events for patient safety research: a review of current methodologies. Journal of Biomdical Informations, 36(1-2), pp. 131-143.
Reason, J. (2000). Human error: models and management. British Medical Journal, 320(7237), pp. 768-770.
Ringle, C.M., Sarstedt, M., Straub, D.W. (2012). A Critical Look at the Use of PLS-SEM in MIS Quarterly. MIS Quarterly, 36(1), pp. 3-14.
Schumacker, R.E, & Lomax, R.G. (2010). A Beginner's Guide to Structural Equation Modeling,3th ed. NJ: Lawrence Erlbaum Associates, ISBN: 1841698911.
Shaft, T.M., & Vessey, I. (2006). The Role of Cognitive Fit in the Relationship Between Software Comprehension and Modification. MIS Quarterly, 30(1), pp. 29-55.
Shojania, K.G., Duncan, B.W., McDonald, K.M., & Wachter, R.M. (2002). Safe but sound: patient safety meets evidence-based medicine. JAMA, 288(4), pp. 508-513.
Speier, C. (2006). The influence of information presentation formats on complex task decision-making performance. International Journal of Human - Computer Studies, 64(11), pp. 1115-1131.
Sperling, G. (1960). The information available in brief visual presentations. Psychological Monographs: General and Applied, 74(11), pp.1-29.
Staples, D.S., & Seddon, P. (2004). Testing the Technology-to-Performance Chain Model. Journal of Organizational and End User Computing, 16(4), pp. 17-36.
Suh, K.S., & Lee, Y.E. (2005). The Effects of Virtual Reality on Consumer Learning: An Empirical Investigation. MIS Quarterly, 29(4), pp. 673-697.
Swink, M. (1995). The influences of user characteristics on performance in a logistics DSS application. Decision Sciences, 26(4), pp. 503-529.
Swink, M., & Speier, C. (1999). Presenting geographic information: Effects of data aggregation, dispersion, and users' spatial orientation. Decision Sciences, 30(1), pp. 169-195.
Tenenhaus, M., Vinzi, V.E., Chatelin, Y.M., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), pp. 159-205.
Thomas, E.J., Studdert, D.M., Burstin, H.R., Orav, E.J., Zeena, T., Williams, E.J., Howard, K.M., Weiler, P.C., & Brennan, T.A. (2000). Incidence and types of adverse events and negligent care in Utah and Colorado. Medical Care, 38(3), pp. 261-271.
Umanath, N.S., & Vessey, I. (1994). Multiattribute Data Presentation and Human Judgment: A Cognitive Fit Perspective. Decision Sciences, 25(5/6), pp. 795-824.
Urbaczewski, A., & Koivisto, M. (2008). The Importance of Cognitive Fit in Mobile Information Systems. Communications of the Association for Information Systems, 22(10), pp. 185-196.
Vessey, I. (1991). Cognitive Fit: A Theory-Based Analysis of the Graphs Versus Tables Literature. Decision Sciences, 22(2), pp. 219-240.
Vessey, I., & Galletta, D. (1991). Cognitive Fit: An Empirical Study of Information Acquisition. Information Systems Research, 2(1), pp. 63-84.
Vincent, C., Neale, G., & Woloshynowych, M. (2001). Adverse events in British hospitals: preliminary retrospective record review. British Medical Journal, 322(7285), pp. 517-519.
Wilson, R.M., Runciman, W.B., Gibberd, R.W., Harrison, B.T., Newby, L., & Hamilton, J.D. (1995). The Quality in Australian Health Care Study. The Medical journal of Australia, 163(9), pp. 458-471.
Zhang, J., Johnson, T.R., Patel, V.L., Paige, D.L., & Kubose, T. (2003). Using usability heuristics to evaluate patient safety of medical devices. Journal of Biomedical Informatics, 36(1-2), pp. 23-30.

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
1. 吳佳真、黃衍文、劉德明、梁雅菁、王雅慧、陳皓瑋(2012)。CAD標準與多媒體程式設計建置醫囑圖形輸出入介面之研究。醫療資訊雜誌,21(2),頁 27-42。
2. 吳佳真、黃衍文、劉德明、梁雅菁、王雅慧、陳皓瑋(2012)。CAD標準與多媒體程式設計建置醫囑圖形輸出入介面之研究。醫療資訊雜誌,21(2),頁 27-42。
3. 林恆慶、陳楚杰、許銘恭(2003)。病人安全相關議題之探討。醫院,36(5),頁 69-78。
4. 林恆慶、陳楚杰、許銘恭(2003)。病人安全相關議題之探討。醫院,36(5),頁 69-78。
5. 洪浚逢(2011)。以任務-科技適配理論評估醫院教學/會議資訊系統之使用績效。 澄清醫護管理雜誌,7(4),頁 32-43。
6. 洪浚逢(2011)。以任務-科技適配理論評估醫院教學/會議資訊系統之使用績效。 澄清醫護管理雜誌,7(4),頁 32-43。
7. 洪新原、陳鴻基、董亮君(2004)。擴充認知適合理論以考量使用者專業知識差異之研究。資訊管理學報,11(4),頁 1-28。
8. 洪新原、陳鴻基、董亮君(2004)。擴充認知適合理論以考量使用者專業知識差異之研究。資訊管理學報,11(4),頁 1-28。
9. 洪新原、謝碧容、辜文聰(2010)。領域知識對於使用護理資訊認知適合之影響。 資訊管理學報,17(3),頁 45-70。
10. 洪新原、謝碧容、辜文聰(2010)。領域知識對於使用護理資訊認知適合之影響。 資訊管理學報,17(3),頁 45-70。
11. 曾若婷、王慧瑜、林明輝(2013)。整合藥師臨床監測作業及電腦醫囑決策系統降低抗生素劑量疏失及藥物不良事件發生率。醫院雙月刊,46(1),頁 26-35。
12. 曾若婷、王慧瑜、林明輝(2013)。整合藥師臨床監測作業及電腦醫囑決策系統降低抗生素劑量疏失及藥物不良事件發生率。醫院雙月刊,46(1),頁 26-35。
13. 劉典嚴(2007)。漫談急診服務對人本醫療經營模式之影響。品質月刊,48(3),頁 11-13。
14. 劉典嚴(2007)。漫談急診服務對人本醫療經營模式之影響。品質月刊,48(3),頁 11-13。
15. 劉籹君、黃興進、廖則竣(2010)。決策支援系統使用績效之實證研究:結合任務-科技適配與資訊系統成功模式。電子商務學報,12(3),頁 407-430。