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摘要


高齡化是全世界共同的挑戰,如能搭配智慧科技設備即時的數據收集與人工智慧的演算,人類可以在創新科技輔助下,針對老化與疾病發展的進程找尋全新軌跡,發展出更為有效的養生與照護策略,此外,長者生活支援與健康照護需求增加,如何廣泛應用智慧科技面對此問題,老人福祉科技(gerontechnology)的蓬勃發展也是緩解高齡社會衝擊的重要良方。

參考文獻


Lee WJ, Peng LN, Lin MH, et al. Determinants and indicators of successful ageing associated with mortality: a 4-year population-based study. Aging 2020;12:2670-9.
Park YH, Chang HK, Lee MH, et al. Community-dwelling older adults’ needs and acceptance regarding the use of robot technology to assist with daily living performance. BMC Geriatrics 2019;19:208.
Huang CC, Chou KH, Lee WJ, et al. Brain white matter hyperintensities-predicted age reflects neurovascular health in middle-to-old aged subjects. Age Agein 2022;51:afac106.
Peng LN, Hsiao FY, Lee WJ, et al. Comparisons between hypothesis- and data-driven approaches for multimorbidity frailty index: A machine learning approach. J Med Intt Res2020;22:e16213.
Liu JY, Kor PP, Chan CP, et al. The effectiveness of a wearable activity tracker (WAT)-based intervention to improve physical activity levels in sedentary older adults: A systematic review and meta-analysis. Archives of Gerontology and Geriatrics 2020;91.

被引用紀錄


洪慈慧、廖容瑜(2023)。探討COVID-19後疫情時代護理、長照與公衛相關科系學生投入長照產業意圖之影響因素健康促進與衛生教育學報(57),93-128。https://doi.org/10.7022/JHPHE.202312_(57).0004
陳盈如、廖珮宏(2024)。護理創新-應用程式在護理實務發展領導護理25(1),1-11。https://doi.org/10.29494/LN.202403_25(1).0001

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