AI 技術在護理工作的應用性探討

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。

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.