過去人們認為只要不生病就算健康，然而這些觀念在臺灣人口結構改變、醫療及教育水準提升，對健康的認知已有所不同。未來，臺灣除了面對高齡化，更需要面對長照社會的來臨，人們從健康、亞健康，到最後的失能狀態，所需要的健康照護需求都有所不同。科技始於人性，隨著科技快速發展，產生了許多健康照護科技應用，其中物聯網設備蒐集的資料，造就了「健康大數據」，藉助人工智慧技術，創造無限可能的應用與服務。本文首先介紹大數據分析的內涵，再進一步說明大數據在「健康、亞健康、失能」三階段之健康照護應用。

People have traditionally associated being ‘not ill’ with being ‘healthy’. This concept has changed due to the improvement of Taiwan’s population structure, advances in medical care, and better education. The word ‘health’ is defined by the World Health Organization as a state of complete physical, mental, and social well-being, and not merely the absence of disease or infirmity. In the future, people in Taiwan must address the challenges of population aging and create a society oriented to the long-term care needs of its citizens. People have different healthcare requirements during the respective stages of healthy, sub-healthy, and disability. Advancing technology has allowed the creation of many healthcare applications such as “health big data” that incorporate Internet of things (IoT) capabilities. Applying artificial intelligence opens many new possibilities and solutions. This article was written to introduce the application of big data techniques in smart healthcare that are appropriate to the three stages of healthy, sub-healthy, and disability.