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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 余峻瑜(Jiun-Yu Yu) | |
| dc.contributor.author | Hsiao-Han Hsu | en |
| dc.contributor.author | 徐筱涵 | zh_TW |
| dc.date.accessioned | 2023-03-19T22:38:33Z | - |
| dc.date.copyright | 2022-08-19 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-08-19 | |
| dc.identifier.citation | Evidence Standards Framework (ESF) for Digital Health Technologies | Our Programmes | What We Do | About’. NICE. Retrieved 26 May 2022 (https://www.nice.org.uk/about/what-we-do/our-programmes/evidence-standards-framework-for-digital-health-technologies). Campbell, Jeffrey I., Isaac Aturinda, Evans Mwesigwa, Bridget Burns, Data Santorino, Jessica E. Haberer, David R. Bangsberg, Richard J. Holden, Norma C. Ware, and Mark J. Siedner. 2017. ‘The Technology Acceptance Model for Resource-Limited Settings (TAM-RLS): A Novel Framework for Mobile Health Interventions Targeted to Low-Literacy End-Users in Resource-Limited Settings’. AIDS and Behavior 21(11):3129–40. doi: 10.1007/s10461-017-1765-y. Cresswell, Kathrin M., Allison Worth, and Aziz Sheikh. 2010. ‘Actor-Network Theory and Its Role in Understanding the Implementation of Information Technology Developments in Healthcare’. BMC Medical Informatics and Decision Making 10(1):67. doi: 10.1186/1472-6947-10-67. Davis, Fred D. 1989. ‘Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology’. MIS Quarterly 13(3):319–40. doi: 10.2307/249008. Flanders, Ned A., Martin Fishbein, and Icek Ajzen. 1975. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley Publishing Company. Frank, Seth R. 2000. ‘Digital Health Care—The Convergence of Health Care and the In-ternet’. The Journal of Ambulatory Care Management 23(2):8–17. Guo, Chaohui, Hutan Ashrafian, Saira Ghafur, Gianluca Fontana, Clarissa Gardner, and Matthew Prime. 2020. ‘Challenges for the Evaluation of Digital Health Solutions—A Call for Innovative Evidence Generation Approaches’. Npj Digital Medicine 3(1):1–14. doi: 10.1038/s41746-020-00314-2. Health, Center for Devices and Radiological. 2020. ‘What Is Digital Health?’ FDA. Health, Center for Devices and Radiological. 2021. ‘Artificial Intelligence and Machine Learning in Software as a Medical Device’. FDA. Health, Center for Devices and Radiological. 2022. ‘Digital Health Software Precertification (Pre-Cert) Program’. FDA. Retrieved 26 May 2022 (https://www.fda.gov/medical-devices/digital-health-center-excellence/digital-health-software-precertification-pre-cert-program). Health, StartUp. 2022. ‘2021 Year-End Insights Report: $44B Raised Globally in Health Innovation, Doubling Year Over Year’. Medium. Retrieved 1 May 2022 (https://healthtransformer.co/2021-year-end-insights-report-44b-raised-globally-in-health-innovation-doubling-year-over-year-90b19ff4a8a6). Ledford, Heidi. 2019. ‘Google Health-Data Scandal Spooks Researchers’. Nature. doi: 10.1038/d41586-019-03574-5. May, Carl. 2006. ‘A Rational Model for Assessing and Evaluating Complex Interventions in Health Care’. BMC Health Services Research 6:86. doi: 10.1186/1472-6963-6-86. May, Carl, and Tracy Finch. 2009. ‘Implementing, Embedding, and Integrating Practices: An Outline of Normalization Process Theory’. Sociology 43(3):535–54. doi: 10.1177/0038038509103208. May, Carl R., Amanda Cummings, Melissa Girling, Mike Bracher, Frances S. Mair, Christine M. May, Elizabeth Murray, Michelle Myall, Tim Rapley, and Tracy Finch. 2018a. ‘Using Normalization Process Theory in Feasibility Studies and Process Evaluations of Complex Healthcare Interventions: A Systematic Review’. Implementation Sci-ence 13(1):80. doi: 10.1186/s13012-018-0758-1. May, Carl R., Amanda Cummings, Melissa Girling, Mike Bracher, Frances S. Mair, Christine M. May, Elizabeth Murray, Michelle Myall, Tim Rapley, and Tracy Finch. 2018b. ‘Using Normalization Process Theory in Feasibility Studies and Process Evaluations of Complex Healthcare Interventions: A Systematic Review’. Implementation Sci-ence: IS 13(1):80. doi: 10.1186/s13012-018-0758-1. McEvoy, Rachel, Luciana Ballini, Susanna Maltoni, Catherine A. O’Donnell, Frances S. Mair, and Anne MacFarlane. 2014. ‘A Qualitative Systematic Review of Studies Using the Normalization Process Theory to Research Implementation Processes’. Implementation Science : IS 9:2. doi: 10.1186/1748-5908-9-2. Nadal, Camille, Corina Sas, and Gavin Doherty. 2020. ‘Technology Acceptance in Mo-bile Health: Scoping Review of Definitions, Models, and Measurement’. Journal of Medical Internet Research 22(7):e17256. doi: 10.2196/17256. Patrick, Kevin, Eric B. Hekler, Deborah Estrin, David C. Mohr, Heleen Riper, David Crane, Job Godino, and William T. Riley. 2016. ‘The Pace of Technologic Change: Implications for Digital Health Behavior Intervention Research’. American Journal of Preventive Medicine 51(5):816–24. doi: 10.1016/j.amepre.2016.05.001. Philippi, Paula, Harald Baumeister, Jennifer Apolinário-Hagen, David Daniel Ebert, Sev-erin Hennemann, Leonie Kott, Jiaxi Lin, Eva-Maria Messner, and Yannik Terhorst. 2021. ‘Acceptance towards Digital Health Interventions – Model Validation and Further Development of the Unified Theory of Acceptance and Use of Technology’. Internet Interven-tions 26:100459. doi: 10.1016/j.invent.2021.100459. Shaw, James, Payal Agarwal, Laura Desveaux, Daniel Cornejo Palma, Vess Stamenova, Trevor Jamieson, Rebecca Yang, R. Sacha Bhatia, and Onil Bhattacharyya. 2018. ‘Be-yond “Implementation”: Digital Health Innovation and Service Design’. Npj Digital Med-icine 1(1):1–5. doi: 10.1038/s41746-018-0059-8. Venkatesh, Viswanath, Michael G. Morris, Gordon B. Davis, and Fred D. Davis. 2003. ‘User Acceptance of Information Technology: Toward a Unified View’. MIS Quarterly 27(3):425–78. doi: 10.2307/30036540. World Health Organization. 2016. Monitoring and Evaluating Digital Health Interventions: A Practical Guide to Conducting Research and Assessment. Geneva: World Health Organization. World Health Organization. 2019. WHO Guideline: Recommendations on Digital Interventions for Health System Strengthening. Geneva: World Health Organization. 食品藥物管理署. 2021. ‘食品藥物管理署智慧醫療器材專案辦公室成立’. 食品藥物管理署. Retrieved 18 June 2022 (https://www.mohw.gov.tw/cp-5016-59558-1.html). | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/85020 | - |
| dc.description.abstract | 近年來全球數位醫療產業快速擴展,不僅吸引國際科技大廠跨足醫療市場,數位醫療新創企業投資也快速成長,台灣也不例外。然而,成功將新技術導入醫療院所,並能有效整合在常規醫院工作流程的企業並不多,本研究的個案(M公司)為少數成功發展的台灣新創企業之一。因此,藉由M公司的數位醫療服務「床邊智聯照護系統」被多家醫學中心採用的成功經驗,了解一項新科技被醫院整合的重要影響因素,提供未來產業新進者在服務評估上的考量依據。 正規化過程理論 (Normalization Process Theory, NPT) 是一項以社會學為基礎的質性研究框架,在國際上常被應用於國家醫療機構評估數位醫療干預的分析工具。本論文為台灣首篇應用NPT 評估數位醫療服務導入醫院效果的研究,透過深度訪談,將使用者認知與評價以四大機制作為分類:Coherence(新系統的價值)、Cognitive Participation (使用者的參與度)、Collective Action(工作流程的改變)、Reflexive Monitoring (使用者回饋),進而歸納出影響新科技被整合至醫院工作流程的重要影響因素,提供數位醫療新創公司未來在產品評估的建議。 本研究的研究重點與成果為: 1.以深度訪談的方式,將護理師使用數位醫療服務的經驗,以NPT 建立評估框架。 2.根據NPT 框架,歸納新系統整合工作流程的促進與阻礙因素,並提出其管理意涵。 | zh_TW |
| dc.description.abstract | In recent years, the rapid expansion in the digital health industry has not only strengthened big tech companies’ interest, but also increased the investment in digital health startups around the world, and Taiwan is no exception. However, most of those companies have failed. Company M is one of the few start-ups in Taiwan that successfully developed in the market. Therefore, we expect to learn from Company M the key factors that affect the implementation of new technology in hospitals and offer an evaluation tool for the new entrants in the industry. Normalization Process Theory (NPT) is a sociological qualitative research framework, generally used as an analytical tool for evaluating digital health interventions in national medical institutions. This paper is the first study in Taiwan to use NPT to evaluate the integration of digital health services. Through in-depth interviews, users' cognition and feedback are classified into four mechanisms: Coherence (value), Cognitive Participation (participation), Collective Action (workflow change), and Reflexive Monitoring (user feedback), and then summarize the influencing factors that affect the integration of new technology, and provide the evaluation suggestions for the digital health tech startups. There are two main topics of this paper: 1. By conducting in-depth interviews, the nurse’s user experience in using digital health services was used to establish an assessment framework with NPT. 2. According to the NPT framework, identify factors that promote and inhibit the routine and define the managerial implications. | en |
| dc.description.provenance | Made available in DSpace on 2023-03-19T22:38:33Z (GMT). No. of bitstreams: 1 U0001-1908202213393300.pdf: 9907252 bytes, checksum: 6b259a3a2a6a9170267b6b06558a2dfd (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | 第一章: 緒論 10 1.1: 研究背景 10 1.2: 研究目的 13 1.3: 研究架構 14 第二章: 文獻回顧 15 2.1: 數位醫療 15 2.2: 評估數位醫療干預 16 2.3: 科技接受模型(Technology Acceptance Model, TAM) 17 2.4: 正規化過程理論(Normalization Process Theory, NPT) 20 2.5: TAM 與 NPT 的比較 24 第三章: 研究方法 26 第四章: 數位醫材新創企業(M 公司)個案介紹 28 4.1: M公司簡介 28 4.2: 導入產品介紹 30 4.3: 傳統作法與新系統之差異 34 第五章: 導入醫院之使用者訪談 37 5.1: 訪綱設計 37 5.2: 訪談問題編碼 40 第六章: NPT 分析 42 6.1: Coherence:新系統的價值 42 6.2: Cognitive Participation:使用者的參與度 43 6.3: Collective Action:新系統導入後的工作流程 44 6.4: Reflexive Monitoring:新系統的回饋 45 6.5: 新科技整合於工作流程的影響因素 47 6.6: 給新創公司的建議 49 第七章: 結論 51 7.1: 研究結論 51 7.2: 研究限制 52 7.3: 未來研究方向 53 參考文獻 54 附件一 57 附件二 66 | |
| dc.language.iso | zh-TW | |
| dc.subject | 使用者評價 | zh_TW |
| dc.subject | 數位醫療 | zh_TW |
| dc.subject | 流程整合 | zh_TW |
| dc.subject | 正規化過程理論 | zh_TW |
| dc.subject | digital health | en |
| dc.subject | user feedback | en |
| dc.subject | normalization process theory | en |
| dc.subject | technology integration | en |
| dc.title | 利用正規化過程理論評估數位醫療服務導入醫院效果的影響因素:以台灣醫療科技新創公司為例 | zh_TW |
| dc.title | Using Normalization Process Theory to Identify the Factors Influencing Integration of Digital Health Service in Hospitals - A Case Study of Taiwan Health Tech Startup | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 110-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳世英(Shey-Ying Chen),胡文郁(Wen-Yu Hu) | |
| dc.subject.keyword | 數位醫療,流程整合,正規化過程理論,使用者評價, | zh_TW |
| dc.subject.keyword | digital health,technology integration,normalization process theory,user feedback, | en |
| dc.relation.page | 91 | |
| dc.identifier.doi | 10.6342/NTU202202584 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2022-08-19 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 商學研究所 | zh_TW |
| dc.date.embargo-lift | 2022-08-19 | - |
| 顯示於系所單位: | 商學研究所 | |
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