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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/98797完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 劉念琪 | zh_TW |
| dc.contributor.advisor | Nien-Chi Liu | en |
| dc.contributor.author | 陳榆 | zh_TW |
| dc.contributor.author | Yu Chen | en |
| dc.date.accessioned | 2025-08-19T16:14:34Z | - |
| dc.date.available | 2025-08-20 | - |
| dc.date.copyright | 2025-08-19 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-08-08 | - |
| dc.identifier.citation | World Health Organization. (2022, October 1). Ageing and health. https://www.who.int/zh/news-room/fact-sheets/detail/ageing-and-health
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/98797 | - |
| dc.description.abstract | 面對全球高齡化與護理人力短缺的雙重壓力，醫療體系急需創新解方以提升照護效率與品質。人工智慧（Artificial Intelligence, AI）技術的快速發展為護理領域帶來了潛在契機，尤其在臨床決策支持、文書處理自動化、病人監測與教育訓練等層面展現應用價值。然而，AI 在臨床護理的實際滲透仍相對有限，並受限於技術接受度、任務適配性與倫理法規等因素。本研究採質性研究法，針對七位具三年以上臨床經驗之護理人員進行半結構式深度訪談，探討AI 技術應用於護理工作的適配情形與接受態度。研究發現，護理人員對AI 應用持保守樂觀態度，若系統具備高可用性與易用性，且能貼合臨床任務需求，將提升其採用意願；反之，若AI 結果缺乏透明性或需耗費額外修正時間，則易降低其信任感與使用動機。研究亦指出管理層應重視使用者參與與教育訓練，以因應AI 導入所引發的角色重塑與職能轉變。此研究結果可供醫療機構在推動智慧護理與數位轉型政策時參考。 | zh_TW |
| dc.description.abstract | Facing the dual challenges of global aging and nursing workforce shortages, healthcare systems are in urgent need of innovative strategies to enhance care quality and efficiency. The rapid advancement of Artificial Intelligence (AI) presents potential solutions in nursing, particularly in clinical decision support, documentation automation, patient monitoring, and training. However, the integration of AI into
clinical nursing remains limited due to issues of acceptance, task-technology fit, and ethical concerns. This study employed a qualitative research method involving semistructured interviews with seven nurses with over three years of clinical experience, exploring their perceptions and experiences regarding AI adoption. Findings reveal that while most nurses hold a cautiously optimistic attitude toward AI, their willingness to adopt such tools hinges on perceived usefulness, ease of use, and alignment with nursing tasks. Conversely, lack of output transparency or additional effort for manual correction undermines trust and motivation. The study further highlights the importance of involving end-users and providing adequate training to facilitate role transitions. These insights offer practical implications for healthcare administrators advancing smart nursing and digital transformation initiatives. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-08-19T16:14:34Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-08-19T16:14:34Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 中文摘要 ...........................................................................................i
ABSTRACT ..........................................................................................ii 目次 .............................................................................................. iii 圖次 .............................................................................................. iv 表次 .............................................................................................. iv 第一章 緒論 ........................................................................................ 1 第一節 研究動機 ..................................................................................... 1 第二節 研究目的 ..................................................................................... 2 第二章 文獻探討 ..................................................................................... 4 第一節 人工智慧技術的對工作的影響 ..................................................................... 4 第二節 護理工作概述 .................................................................................. 5 第三節 AI 技術在護理工作的應用與台灣現況 .............................................................. 10 第四節 AI 技術在醫療面臨的限制與挑戰 .................................................................. 14 第五節 Technology Acceptance Model ................................................................. 15 第六節 護理人員對 AI 的接受度 ........................................................................ 17 第三章 研究方法 ..................................................................................... 20 第一節 研究設計 ..................................................................................... 20 第二節 研究參與者 ................................................................................... 20 第三節 研究工具說明 ................................................................................. 21 第四節 研究資料 ..................................................................................... 22 第四章 研究結果 ..................................................................................... 23 第一節 AI 技術的使用經驗 ............................................................................. 23 第二節 護理師對AI 技術的認知、使用態度與意圖 ........................................................... 31 第三節 護理師對AI 工具與護理工作適配度的想法 ........................................................... 33 第五章 研究討論 ...................................................................................... 37 第一節 護理師對AI 技術的認知與態度如何影響使用行為 ...................................................... 37 第二節 基於 Task-Technology Fit (TTF) 理論的洞察 ...................................................... 40 第三節 其他關鍵影響因子 ............................................................................... 41 第四節 AI 科技進入護理實務的挑戰與契機 ................................................................. 43 第五節 AI 工具對護理職場環境的影響 ..................................................................... 45 第六章 研究結論 ...................................................................................... 47 第一節 研究結果與討論回應研究問題 ...................................................................... 47 第二節 管理意涵 ...................................................................................... 51 第三節 研究限制與未來研究方向 ......................................................................... 53 參考文獻 ............................................................................................ 56 附錄 ............................................................................................... 62 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 人工智慧 | zh_TW |
| dc.subject | 護理工作 | zh_TW |
| dc.subject | 科技接受模型（TAM） | zh_TW |
| dc.subject | 任務－技術適配 （TTF） | zh_TW |
| dc.subject | 護理人力 | zh_TW |
| dc.subject | 智慧醫療 | zh_TW |
| dc.subject | Smart Healthcare | en |
| dc.subject | Artificial Intelligence | en |
| dc.subject | Nursing Work | en |
| dc.subject | Technology Acceptance Model | en |
| dc.subject | Task- Technology Fit | en |
| dc.subject | Nursing Workforce | en |
| dc.title | AI 技術在護理工作的應用性探討 | zh_TW |
| dc.title | Assessing the Applicability of Artificial Intelligence in Clinical Nursing | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 陳寶蓮;陳怡靜 | zh_TW |
| dc.contributor.oralexamcommittee | Pao-Lien Chen;Yi-Ching Chen | en |
| dc.subject.keyword | 人工智慧,護理工作,科技接受模型（TAM）,任務－技術適配 （TTF）,護理人力,智慧醫療, | zh_TW |
| dc.subject.keyword | Artificial Intelligence,Nursing Work,Technology Acceptance Model,Task- Technology Fit,Nursing Workforce,Smart Healthcare, | en |
| dc.relation.page | 67 | - |
| dc.identifier.doi | 10.6342/NTU202503812 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2025-08-12 | - |
| dc.contributor.author-college | 管理學院 | - |
| dc.contributor.author-dept | 商學研究所 | - |
| dc.date.embargo-lift | 2025-08-20 | - |
| 顯示於系所單位： | 商學研究所 | |
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