政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/146927

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/146927

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | 全文笔数/总笔数 : 113303/144284 (79%)
造访人次 : 50832193 在线人数 : 924

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

搜寻范围

查询小技巧：

您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果

若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据

进阶搜寻

主页 ‧ 登入 ‧ 上传 ‧ 说明 ‧ 关于政大典藏 ‧ 管理

到手机版

政大機構典藏 > 商學院 > 企業管理研究所（MBA學位學程） > 學位論文 > Item 140.119/146927

请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/146927

题名:	以人工智能改善診所醫療資訊系統之探索性研究 An Exploratory Study on Enhancing Clinic Medical Information Systems through Artificial Intelligence
作者:	林永欣 Lin, Yung-Hsin
贡献者:	于卓民 Yu, Chwo-Ming 林永欣 Lin, Yung-Hsin
关键词:	醫療資訊系統人工智能病歷撰寫醫師痛點 Health Information Systems Artificial Intelligence Medical Record Documentation Physician Pain Points
日期:	2023
上传时间:	2023-09-01 15:02:28 (UTC+8)
參考文獻:	中文參考文獻王若樸 (2023) 。全臺最大醫療IT革新來臨，衛福部揭次世代HIS平臺大架構。iThome。取自 https://www.ithome.com.tw/people/157241 余啟民 (2022) 。醫療人工智慧應用爭議與法制規範課題。東吳法律學報，34 (2)，25-63。李鍾熙 (2023年7月7日) 。李鍾熙：醫療AI新創的未來。財訊。取自 https：//www.wealth.com.tw/articles/4db98d18-e0e9-45aa-af89-8f6434c25e01 郭年真、賴飛羆、李鎮宜、陳宛琪、俞志欣、古乙岑、歐陽良孟、張婷 (2017) 。智慧醫療關鍵議題與對策之研究結案報告 (NDC105006-1) [報告]。國立臺灣大學。取自 https://ws.ndc.gov.tw/Download.ashx?u=LzAwMS9hZG1pbmlzdHJhdG9yLzEwL3JlbGZpbGUvNTY0NC8yNzE1OC8xZDIwZjcwYS00YzhlLTQwZWQtYWY4ZC0xZmM1NWIxMDI0OWUucGRm&n=5pm65oWn6Yar55mCX%2Be1kOahiOWgseWRil8yMDE3MDQxMV9SMi5wZGY%3D&icon=..pdf 劉宜廉 (2007) 。病歷記載相關法律問題。醫療品質雜誌，1(2)，83-89。衛生福利部 (2022) 。中華民國 110 年醫療機構現況及醫院醫療服務量統計年報。取自 https://dep.mohw.gov.tw/DOS/lp-5099-113.html 簡守偉、詹慶年、林克政、洪鴻章 (2016) 。衛生福利部醫院醫療資訊系統之歷史與發展。醫學與健康雜誌，5 (1)，111-124。許惠恒 (2021)。 38年老公家醫院，如何變成人人懂AI的智慧醫院？中榮花錢讓員工做這件事。未來城市@天下網路書店。取自 https://futurecity.cw.com.tw/article/2119 英文參考文獻 Abràmoff MD, Lavin PT, Birch M, Shah N, Folk JC. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. NPJ Digit Med. 2018 Aug 28;1:39. doi: 10.1038/s41746-018-0040-6. PMID: 31304320; PMCID: PMC6550188. Ayers JW, Poliak A, Dredze M, Leas EC, Zhu Z, Kelley JB, Faix DJ, Goodman AM, Longhurst CA, Hogarth M, Smith DM. Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum. JAMA Intern Med. 2023 Jun 1;183(6):589-596. doi: 10.1001/jamainternmed.2023.1838. Chi, E. A., Chi, G., Tsui, T., Ng, R., Jiang, H., Jarr, K., Kulkarni, O., Sinha, S., Zhang, Y., & Long, J. (2021). Development and Validation of an AI System for Review of Patient Records. JAMA Network Open, 4(7), https://doi.org/10.1001/jamanetworkopen.2021.17391 Colleen, M. F. (1970). General Requirements for a Medical Information System. Computers and Biomedical Research, 3(4), 393-406. Duening, T. N., Hisrich, R. A., & Lechter, M. A. (2014). Technology Entrepreneurship：Taking Innovation to the Marketplace (2nd ed.). Academic Press. Deloitte. (2018). Electronic health records: Can the pain shift to value for physicians? Deloitte 2018 Survey of US Physicians, https://drive.google.com/file/d/1cbOnpcHV5W7XmhJyKB2_OyLyKhRP3AaW/view Elsevier Inc. (2023). ChatGPT： The next-gen tool for triaging? American Journal of Emergency Medicine, 41(10), 187-188. https://doi.org/10.1016/j.ajem.2023.03.027 G.S. Sureshchandar Chandrasekharan Rajendran R.N. Anantharaman, (2002),"The relationship between service quality and customer satisfaction – a factor specific approach", Journal of Services Marketing, Vol. 16 Iss 4 pp. 363 - 379 Jorge Ribeiro, Rui Lima, Tiago Eckhardt, Sara Paiva(2021)Robotic Process Automation and Artificial Intelligence in Industry 4.0 – A Literature review,Procedia Computer Science,Volume 181, 2021, Pages 51-58, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2021.01.104. Kano, N., Seraku, N., Takahashi, F., & Tsuji, S. (1984). Attractive quality and must-be quality. Hinshitsu (Quality, the Journal of Japanese Society for Quality Control), 14(2), 39-48. Keogh, G. L. (2013). The listing and categorization methods for simplifying the identification of customer pain points. Master`s thesis, Saint Louis University. Lee P, Bubeck S, Petro J. Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine. N Engl J Med. 2023 Mar 30;388(13):1233-1239. doi: 10.1056/NEJMsr2214184. PMID: 36988602. Matzler, Kurt & Sauerwein, Elmar. (2002). The Factor Structure of Customer Satisfaction： An Empirical Test of the Importance Grid and the Penalty-Reward-Contrast Analysis. International Journal of Service Industry Management. 13. 314-332 Mehdipour, Y., & Zerehkafi, H. (2013). Hospital Information System (HIS): At a Glance. Asian Journal of Computer and Information Systems, 1(2), 54-61. Na, S., Heo, S., Han, S., Shin, Y., & Roh, Y. (2022). Acceptance Model of Artificial Intelligence (AI)-Based Technologies in Construction Firms： Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organisation–Environment (TOE) Framework. Buildings, 12 (2), https://doi.org/10.3390/buildings12020090 OpenAI. (2021). GPT-4 Technical Report. Retrieved from https://openai.com/research/ Oliver Alexander Gansser, Christina Stefanie Reich, A new acceptance model for artificial intelligence with extensions to UTAUT2： An empirical study in three segments of application, Technology in Society, Volume 65, 2021, 101535, ISSN 0160-791X, https://doi.org/10.1016/j.techsoc.2021.101535. Osterwalder, A., Pigneur, Y., Bernarda, G., & Smith, A. (2014). Value Proposition Design(pp. 50-52).John Wiley & Sons. Raita Y, Goto T, Faridi MK, Brown DFM, Camargo CA Jr, Hasegawa K. Emergency department triage prediction of clinical outcomes using machine learning models. Crit Care. 2019 Feb 22;23(1):64. doi: 10.1186/s13054-019-2351-7. PMID: 30795786; PMCID: PMC6387562. Sauerwein, E., Bailom, F., Matzler, K., & Hinterhuber, H. H. (1996). The Kano model： How to delight your customers. Preprints Volume I of the IX International Working Seminar on Production Economics, Innsbruck/Igls/Austria, February , 313-327. Salminen, J., Mustak, M., Corporan, J., Jung, S., & Jansen, B. J. (2022). Detecting Pain Points from User-Generated Social Media Posts Using Machine Learning. Journal of Interactive Marketing, 57(3), 517–539. https://doi.org/10.1177/10949968221095556 Smith, J. (2019). Creating Your Venture. Entrepreneurship Quarterly, 4(1), 1-20. Spatharou, A., Hieronimus, S., & Jenkins, J. (2020). Transforming healthcare with AI： The impact on the workforce and organizations. McKinsey & Company. Retrieved from https://www.mckinsey.com/industries/healthcare/our-insights/transforming-healthcare-with-ai Sven Laumer, Christian Maier & Tim Weitzel (2017) Information quality, user satisfaction, and the manifestation of workarounds: a qualitative and quantitative study of enterprise content management system users, European Journal of Information Systems, 26:4, 333-360, DOI： 10.1057/s41303-016-0029-7 The Physicians Foundation. (2018). 2018 Survey of America’s Physicians: Practice Patterns and Perspectives. Merritt Hawkins. Wang, Y., Chen, J., Chen, L., & Dai, X. (2019). Prediction of diabetic kidney disease progression with big data machine learning using electronic medical record. Scientific Reports, 9(1), https://doi.org/10.1038/s41598-019-48263-5 Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information systems research, 16(1), 85-102. Xiong, H., Wang, S., Zhu, Y., Zhao, Z., Liu, Y., Huang, L., Wang, Q., & Shen, D. (2023). DoctorGLM： Fine-tuning your Chinese Doctor is not a Herculean Task. arXiv：2304.01097 [cs.CL]. https://doi.org/10.48550/arXiv.2304.01097
描述:	碩士國立政治大學企業管理研究所(MBA學位學程) 110363099
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G0110363099
数据类型:	thesis
显示于类别:	[企業管理研究所（MBA學位學程）] 學位論文

文件中的档案:

档案	描述	大小	格式	浏览次数
309901.pdf		1586Kb	Adobe PDF2	0	检视/开启

在政大典藏中所有的数据项都受到原著作权保护.

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 © - 回馈