面對護理人力短缺、人口老化帶來的醫療需求增加，以及營運效率瓶頸等關鍵挑戰，醫療機構日益採用AI技術來簡化行政流程，提升整體服務品質。本研究旨在探討人工智慧（AI）技術在健康檢查報告流程中的轉型效果，以台灣南部某區域教學醫院（匿名為S醫院）為研究場域。
研究採用質性研究方法，透過半結構式訪談，深入了解醫療管理者、臨床醫師與一線護理人員等多方利害關係人的實務觀點。理論框架基於數位轉型理論與價值創新（ERRC Grid）架構，探討AI導入對於營運效率、人力資源配置與競爭優勢的影響。
研究結果發現，AI的導入顯著縮短了健檢報告的產出時間，降低行政工作負擔，並提升報告的準確性與一致性。此轉變有效縮短了病患等待時間，改善了報告溝通清晰度，大幅提升受檢者滿意度與服務競爭力。此外，護理人力得以重新配置至更具附加價值的工作，如健康諮詢與顧客關係管理，有效緩解護理人力短缺的問題。
綜合上述研究發現，AI技術不僅能優化健檢流程內部作業，更能成為醫療機構長期敏捷性與永續發展的重要策略資源。醫療機構在考量AI導入時應強化跨部門協作，持續推動員工AI技能培訓，並建構完善的法規架構以管理倫理與隱私議題。，期望透過此研究提供醫療產業導入AI技術的重要策略參考，促進創新、提升品質，進而增強市場競爭力。

Facing key challenges such as nursing manpower shortages, rising medical demands due to population aging, and operational efficiency bottlenecks, healthcare institutions are increasingly adopting artificial intelligence (AI) technologies to streamline administrative tasks and improve overall service quality. This study explores the transformative impact of AI on the health examination report process, using a regional teaching hospital in southern Taiwan (anonymously referred to as S Hospital) as the research site.
Using a qualitative research approach, the study conducted semi-structured interviews to gain insights from healthcare administrators, clinical physicians, and frontline nursing staff. The theoretical framework is grounded in digital transformation theory and the value innovation model (ERRC Grid), analyzing how AI affects operational efficiency, human resource allocation, and competitive advantage.
Findings show that AI significantly reduces the time required to produce health reports, lowers administrative workloads, and improves report accuracy and consistency. These changes shorten patient wait times, enhance report clarity, and increase satisfaction and service competitiveness. Nursing staff can be reallocated to higher-value tasks such as health consultations and customer relationship management, helping ease the staffing shortage.
Overall, AI not only enhances internal health check-up processes but also acts as a strategic asset for healthcare institutions' agility and sustainability. To maximize AI's benefits, organizations should strengthen cross-departmental collaboration, promote ongoing AI training, and build robust legal frameworks to manage ethical and privacy concerns. This study offers strategic insights for the medical sector to adopt AI, foster innovation, improve quality, and boost market competitiveness.

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