English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113313/144292 (79%)
Visitors : 50949509      Online Users : 951
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 會計學系 > 學位論文 >  Item 140.119/135918
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/135918


    Title: 醫療資訊系統之導入對組織之影響- 以某區域教學醫院為例
    The impact of introducing the hospital information system to the organization— A Regional Teaching Hospital Example
    Authors: 李瑞洋
    Li, Jui-Yang
    Contributors: 李佳玲
    Lee, Chia-Ling
    李瑞洋
    Li, Jui-Yang
    Keywords: 醫療資訊系統
    臨床決策支援系統
    等候時間
    Healthcare Information Systems
    Clinical Decision Support System
    Waiting time
    Date: 2021
    Issue Date: 2021-07-01 17:04:32 (UTC+8)
    Abstract: 近年來,「以病人為中心(patient-centered)」的概念逐漸被納入評鑑中,許多醫療院所因而引進醫療資訊系統(HIS)。本研究欲探討不同的背景及人格特質的使用者,對醫療資訊系統接受度的差異。本研究之個案醫院於2019年導入新的大腸鏡排檢系統,而該系統為醫療資訊系統(HIS)的其中一類,即臨床決策支援系統(CDSS)。
    研究發現,新系統能降低病患的等候時間,且年資越高、內科、對系統抱持越正向看法者,對系統的接受度較高。而各項品質指標皆能達到標準,且導入新系統前後無顯著差異。本研究可作為日後醫療院所導入醫療資訊系統之參考,並使管理當局了解何種特質之使用者可能對新制度有較高的接受度,藉以設計相應的獎酬制度。
    Recently, the concept of “patient-centered” has gradually been included in the evaluation of medical organization, which induces many medical institutions to introduce Healthcare Information Systems (HIS). This study aims to explore the acceptance of HIS among different users’ backgrounds and personalities. A teaching hospital in this study introduced a new arranging system for colonoscopy in 2019. This system served as the role of Clinical Decision Support System (CDSS) include in HIS.
    This study found that this new system can reduce the waiting time of patients, and higher acceptance of the system was discovered in the senior doctors, internists, and users holding more positive views of the system. All quality indicators can reach the standard, and there is no significant difference before and after the introduction of the new system. This study’s results can be used as a reference for future introduction of HIS in medical institutions, and enable the managers to understand the characteristics of users who may have a higher acceptance of the new system, and design a suitable reward system for these users.
    Reference: Alipour, J., Mehdipour, Y., & Karimi, A. (2019). Factors Affecting Acceptance of Hospital Information Systems in Public Hospitals of Zahedan University of Medical Sciences: A Cross-Sectional Study. Journal of Medicine and Life, 12(4), 403-410.
    IOM Committee on Quality of Health Care in America. (2001). Crossing the Quality Chasm: A New Health System for the 21st Century. In. National Academies Press (US).
    Aronchick, C., Lipshutz, W., Wright, S., DuFrayne, F., & Bergman, G. (1999). Validation of an instrument to assess colon cleansing. American Journal of Gastroenterology, 94(94), 2667.
    Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
    Barclay, R. L., Vicari, J. J., Doughty, A. S., Johanson, J. F., & Greenlaw, R. L. (2006). Colonoscopic Withdrawal Times and Adenoma Detection during Screening Colonoscopy. The New England Journal of Medicine, 355(24), 2533-2541.
    Baxter, N. N., Sutradhar, R., Forbes, S. S., Paszat, L. F., Saskin, R., & Rabeneck, L. (2011). Analysis of administrative data finds endoscopist quality measures associated with postcolonoscopy colorectal cancer. Gastroenterology, 140(1), 65-72.
    Berner, E. S. (2016). Clinical decision support systems : theory and practice / edited by Eta S. Berner (Third edition.). Springer International Publishing.
    Brunt, C. S., & Bowblis, J. R. (2014). Health IT adoption, productivity and quality in primary care. Applied Economics, 46(15), 1716-1727.
    Chen, R.-F., & Hsiao, J.-L. (2012). An investigation on physicians` acceptance of hospital information systems: A case study. International Journal of Medical Informatics, 81(12), 810-820.
    Crosby, P. B. (1980). Quality is Free : the Art of Making Quality Certain. Mentor.
    Cubiella, J., Castells, A., Andreu, M., Bujanda, L., Carballo, F., Jover, R., Lanas, Á., Morillas, J. D., Salas, D., & Quintero, E. (2017). Correlation between adenoma detection rate in colonoscopy- and fecal immunochemical testing-based colorectal cancer screening programs. United European Gastroenterol Journal, 5(2), 255-260.
    Dos Santos, M. A. F. R. N., Tygesen, H., Eriksson, H., & Herlitz, J. (2014). Clinical decision support system (CDSS) – effects on care quality. International Journal of Health Care Quality Assurance, 27(8), 707-718.
    Fang, J.-T., & Lii, S.-C. (2014). Relationship between personality traits and choosing a medical specialty. Journal of the Formosan Medical Association, 114(11), 1116-1121.
    Farzandipur, M., jeddi, F., & Azimi, E. (2016). Factors Affecting Successful Implementation of Hospital Information Systems. Acta Informatica Medica, 24(1), 51-55.
    Fornell, C., & Larcker, D. F. (2018). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of marketing research, 18(1), 39-50.
    Greenes, R. A. (2007). Clinical decision support the road ahead. Elsevier Academic Press.
    Gremy, F., Fessler, J. M., & Bonnin, M. (1999). Information systems evaluation and subjectivity. International Journal of Medical Informatics 56(1), 13-23.
    Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Prentice Hall.
    Handayani, P. W., Hidayanto, A. N., Pinem, A. A., Sandhyaduhita, P. I., & Budi, I. (2017). Hospital information system user acceptance factors: User group perspectives. Informatics for Health & Social Care, 43(1), 84-107.
    Helmons, P. J., Suijkerbuijk, B. O., Nannan Panday, P. V., & Kosterink, J. G. W. (2015). Drug-drug interaction checking assisted by clinical decision support: a return on investment analysis. Journal of the American Medical Informatics Association, 22(4), 764-772.
    Holst, H., Aström, K., Järund, A., Palmer, J., Heyden, A., Kahl, F., Tägil, K., Evander, E., Sparr, G., & Edenbrandt, L. (2000). Automated interpretation of ventilation-perfusion lung scintigrams for the diagnosis of pulmonary embolism using artificial neural networks. European Journal of Nuclear Medicine and Molecular Imaging, 27(4), 400-406.
    Huang, Y.-C., Zheng, J.-N., & Chien, C.-F. (2012). Decision support system for rehabilitation scheduling to enhance the service quality and the effectiveness of hospital resource management. Journal of Industrial and Production Engineering, 29(5), 348-363.
    Hunt, D. L., Haynes, R. B., Hanna, S. E., & Smith, K. (1998). Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. The Journal of the American Medical Association, 280(15), 1339-1346.
    Juran, J. M., & Gryna, F. M. (1988). Juran`s Quality Control Handbook (4th ed.). McGraw-Hill.
    Kamilah, K., & Kamil Zaki, K. (2017). User Acceptance of the Human Resource Information System: A Study of a Private Hospital in Malaysia. International Review of Management and Marketing, 7(2), 207-217.
    Kaplan, B., & Shaw, N. T. (2004). Future directions in evaluation research: people, organizational, and social issues. Methods of Information in Medicine, 43(3), 215-231.
    Kawamoto, K., Houlihan, C. A., Balas, E. A., & Lobach, D. F. (2005). Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. British Medical Journal, 330(7494), 765-768.
    Kilsdonk, E., Peute, L. W., & Jaspers, M. W. M. (2017). Factors influencing implementation success of guideline-based clinical decision support systems: A systematic review and gaps analysis. International Journal of Medical Informatics, 98, 56-64.
    Ko, C. W., Dominitz, J. A., Green, P., Kreuter, W., & Baldwin, L.-M. (2010). Specialty Differences in Polyp Detection, Removal, and Biopsy during Colonoscopy. The American Journal of Medicine, 123(6), 528-535.
    Kwok, R., Dinh, M., Dinh, D., & Chu, M. (2009). Improving adherence to asthma clinical guidelines and discharge documentation from emergency departments: implementation of a dynamic and integrated electronic decision support system. Emergency Medicine Australasia, 21(1), 31-37.
    Matyja, M., Pasternak, A., Szura, M., Pędziwiatr, M., Major, P., & Rembiasz, K. (2018). Cecal intubation rates in different eras of endoscopic technological development. Wideochirurgia I Inne Techniki Mało Inwazyjne, 13(1), 67-73.
    McCrae, R. R., & John, O. P. (1992). An Introduction to the Five-Factor Model and its Applications. Journal of Personality, 60(2), 175-215.
    McCulloch, P., Kaul, A., Wagstaff, G. F., & Wheatcroft, J. (2005). Tolerance of uncertainty, extroversion, neuroticism and attitudes to randomized controlled trials among surgeons and physicians. British Journal of Surgery, 92(10), 1293-1297.
    Muñoz, R. F. (2010). Using evidence-based internet interventions to reduce health disparities worldwide. Journal of Medical Internet Research, 12(5), e60.
    Nilashi, M., Ahmadi, H., Ahani, A., Ravangard, R., & Ibrahim, O. b. (2016). Determining the importance of Hospital Information System adoption factors using Fuzzy Analytic Network Process (ANP). Technological Forecasting & Social Change, 111, 244-264.
    Rathgaber, S. W., & Wick, T. M. (2006). Colonoscopy completion and complication rates in a community gastroenterology practice. Gastrointest Endosc, 64(4), 556-562.
    Rex, D. K., Schoenfeld, P. S., Cohen, J. P., Irving M. Adler, Douglas G. Fennerty, M. Brian , Lieb, J. G., Park, W. G., Rizk, M. K. S., Mandeep S. , Shaheen, N. J., & Wani, S. W., David S. . (2015). Quality indicators for colonoscopy. Gastrointestinal Endoscopy, 81(1), 31-53.
    Sarkar, A. K., Khan, R. A., & Pandey, C. M. (2017). Security Issues, Challenges and Success Factors of Hospital Information System. i-Manager`s Journal on Information Technology, 6(3), 30-35.
    Shanafelt, T. D., West, C. P., Sinsky, C., Trockel, M., Tutty, M., Satele, D. V., Carlasare, L. E., & Dyrbye, L. N. (2019). Changes in Burnout and Satisfaction With Work-Life Integration in Physicians and the General US Working Population Between 2011 and 2017. Mayo Clinic Proceedings, 94(9), 1681-1694.
    Stienen, M. N., Scholtes, F., Samuel, R., Weil, A., Weyerbrock, A., & Surbeck, W. (2018). Different but similar: personality traits of surgeons and internists—results of a cross-sectional observational study. British Medical Journal Open, 8(7), 1-7.
    Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I. (2020). An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ Digital Medicine, 3(1), 17.
    van der Meijden, M. J. (2003). Determinants of Success of Inpatient Clinical Information Systems: A Literature Review. Journal of the American Medical Informatics Association, 10(3), 235-243.
    Warschkow, R., Steffen, T., Spillmann, M., Kolb, W., Lange, J., & Tarantino, I. (2010). A comparative cross-sectional study of personality traits in internists and surgeons. Surgery, 148(5), 901-907.
    WHO. (2010). Health Information Systems. World Health Organization.
    Williams, J. E., Holub, J. L., & Faigel, D. O. (2012). Polypectomy rate is a valid quality measure for colonoscopy: results from a national endoscopy database. Gastrointest Endosc, 75(3), 576-582.
    Yusof, M. M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. K. (2008a). An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit). International Journal of Medical Informatics 77(6), 386-398.
    Yusof, M. M., Papazafeiropoulou, A., Paul, R. J., & Stergioulas, L. K. (2008b). Investigating evaluation frameworks for health information systems. International Journal of Medical Informatics, 77(6), 377-385.
    尹裕君. (2005). 新制醫院評鑑與護理品質管理. 榮總護理, 22(2), 109-116.
    王璟璇. (2015). 病歷閱讀 Comprehending medical records / 王璟璇等編著 (一版 ed.). 華杏.
    朱小剛, 鄧弋雁, & 張前德. (2010). 我國醫護人員職業倦怠研究近況. 南京醫科大學學報(社會科學版), 10(3), 203-206.
    吳淑靜, 黃蔚仁, 孫吉珍, 谷幼雄, & 朱唯勤. (2010). 導入資訊化給藥作業系統對於護理人員接受度之影響因子的初步分析. 志為護理-慈濟護理雜誌, 9(5), 71-79.
    林威宇, 刁茂盟, 陳志弘, 黃獻立, & 林孟志. (2018). 探討醫師個人特質對選擇專科之影響. 醫務管理期刊, 19(1), 63-78.
    徐瑜敏, 商弘昇, 蔡玲矯, & 張錦標. (2014). 應用QCC以降低門診抽血等候時間之研究. 中華職業醫學雜誌, 21(3), 167-176.
    張曉卉. (2007). 創造醫療價值,從「以病人為中心」做起. 康健雜誌, (105), 39-41.
    許明暉. (2015). 全民健康保險與資訊服務. 國土及公共治理季刊, 3(4), 72-76.
    許碧芳, & 許美菁. (2006). 應用德菲法與層級分析法建構基層醫療機構醫療資訊系統外包商評選模式. 醫務管理期刊, 7(1), 40-56.
    陳佳君, 沈里彥, 許益彰, & 劉珮汶. (2018). 某地區教學醫院門診臨床決策支援系統警告型態分析. 健康管理學刊, 16(1), 55-64.
    黃鼎富, 陳學亮, 孫雍智, 周本林, 王煒翔, 黃子豪, 黃敬倫, 李堯慧, 林泔君, & 吳盈昭. (2019). 以品管圈手法改善尖峰時段X光檢查等候時間-以台北市某醫學中心為例. 北市醫放雜誌, 9(1), 1-10.
    楊智傑. (2014). 美國醫療資訊保護法規之初探-以HIPAA/HITECH之隱私規則與資安規則為中心. 軍法專刊, 60(5), 79-116.
    劉家勇, & 賴馨儀. (2018). 由「結構-過程-結果」照護品質理論探討自立支援成效之研究. 社區發展季刊(164), 210-227.
    蔡素慧, 陳怡靜, & 楊素月. (2017). 運用資訊系統改善腹部超音波檢查前置等候時間與滿意度. 秀傳醫學雜誌, 16(2), 88-97.
    衛生福利部. (2015). 醫院評鑑有其存在之必要與價值 https://www.mohw.gov.tw/cp-2646-20321-1.html
    餘明玲, 薛亞聖, & 黃興進. (2005). 影響醫院資訊系統績效評估之關鍵因素:高階主管觀點之實證研究. 台灣公共衛生雜誌, 24(1), 22-32.
    蕭娜足, & 張志明. (2009). 手術室病患安全3P確認作業指標落實相關性分析之研究. 醫院, 42(4), 43-51.
    蕭家旗. (2012). 會計人員內部控制認知程度對達成目標之影響. 主計月刊(681), 76-82.
    應立志, 李福春, & 王萬琳. (2012). 就醫者之醫療體驗對醫院滿意度之影響. 若瑟醫護雜誌, 6(1), 20-38.
    羅新興, & 林靜如. (2007). 領導者和追隨者的性別組成與追隨者服從意願之關係. 東吳經濟商學學報(59), 101-117.
    Description: 碩士
    國立政治大學
    會計學系
    108353034
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0108353034
    Data Type: thesis
    DOI: 10.6814/NCCU202100507
    Appears in Collections:[會計學系] 學位論文

    Files in This Item:

    File Description SizeFormat
    303401.pdf2828KbAdobe PDF20View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback