| Reference: | 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 |
