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日本推動智慧醫療照護與巨量資料應用之趨勢觀察

Observation of the trend in e-Health promotion and Big Data application in Japan

摘要


巨量資料(Big Data)之分析與應用是近年來國際發展的重要趨勢,尤其結合醫療領域所帶動的創新服務,將產生龐大的經濟價值,而智慧穿戴式裝置的普及,亦使得醫療數據的蒐集愈加簡便,間接地成為促進智慧醫療照護及巨量資料應用的重大推手。鄰近我國的日本,早於1994年時,便提早我國24年進入聯合國所定義之「高齡社會」,一直以來都相當積極地在推動智慧醫療照護的相關政策,近年來更特別著重「巨量資料」分析應用之議題,並於2014年5月通過「健康 醫療戰略推進法」,做為推動國家整體健康、醫療政策藍圖之法源基礎。並且就不同的推動項目,召集產官學研等專家學者,齊頭、漸進且嚴謹的就技術研發、人才培養、法規鬆綁等議題進行研究,同時配合「個人號碼法」及「個人資料保護法」的修正及施行進度,定期進行審視及修正。因此,本文透過觀察日本近期推動智慧醫療照護及巨量資料應用之新近政策及立法,盼給予我國未來思考政策方向的一些參考及借鏡。

並列摘要


Big Data and its respective analysis and application is a major trend for international development in recent years. Medical field, in particular, combined with the recent Big Data trend would create innovative services. In return, these services will generate enormous economic value. With wearable devices becoming increasingly popular, these wearables make the collection of medical data even simpler. This indirectly promotes the application of e-Health and also the use of Big Data. Japan, already as an "aged society" defined by United Nations 24 years prior to ours back in 1994, has been quite proactive in the promotion of e-Health policies. In recent years, Japan has placed more emphasis on the analysis and application of Big Data and in May 2014, "The Act to Promote Healthcare and Medical Strategy" has passed and is used to promote the healthcare of the country as a whole and to be used as the blueprint for future health policies. The promotion of various projects calls for industry, government, scholars and various experts to unite and progressively but rigorously research on technological development, personnel training, legal deregulations, etc. Meanwhile, the research must be able to cooperate with the periodic reviews and revision of "My Number Act" and "Act on the Protection of Personal Information". Therefore, the observation of Japan's recent promotion of e-Health and Big Data policies and legislations provides us a direction and reference for our future policies.

參考文獻


國家發展委員會,〈ide@Taiwan 2020(創意臺灣)政策白皮書〉,頁127 (2015),http://ws.ndc.gov.tw/Download.ashx?u=LzAwMS9hZG1pbmlzdHJhdG9yLzEwL3JlbGZpbGUvMC84Njg5LzVjMTQzMWQyLWE4Y2MtNDI3NS1iMzE5LWMyYmQ2NWE2Y2IzZC5kb2N4&n=MyDmmbrmhafnlJ%2fmtLswOTE0LmRvY3g%3d&icon=..docx (最後瀏覽日: 2015/10/25)。頁127-142。
〈政府巨量資料應用研究〉,科技部前瞻及應用科技司,https://www.most.gov.tw/pla/ch/detail?article_uid=a6a0ca03- bdcf-4e59-8d63-053cea767ee1&menu_id=89834a0f-8ff1-4f12-8a0d-ad98f4008cb4&content_type=P&view_mode=listView (最後瀏覽日:2015/10/25)。
The Digital Universe Driving Data Growth in HEALTHCARE, EMC, http://www.emc.com/analyst-report/digital-universe-healthcare-vertical-report-ar.pdf (last visited Oct. 25, 2015).
〈超高齡社會下之日本長期照護體系〉,臺灣新社會智庫,http://www.taiwansig.tw/index.php/%E6%94%BF%E7%AD%96%E5%A0%B1%E5%91%8A/%E7%A4%BE%E6%9C%83%E5%AE%89%E5%85%A8/4853-%E8%B6%85%E9%AB%98%E9%BD%A1%E7%A4%BE%E6%9C%83%E4%B8%8B%E4%B9%8B%E6%97%A5%E6%9C%AC%E9%95%B7%E6%9C%9F%E7%85%A7%E8%AD%B7%E9%AB%94%E7%B3%BB (最後瀏覽日:2015/10/25)。
民報,〈國發會:最快2020年人口負成長 2025年進入超高齡〉, 2014/08/18,http://www.peoplenews.tw/news/1acd0925-1802-4def-aaaa-067dcb694778 (最後瀏覽日:2015/10/25)。

被引用紀錄


許媏媖(2016)。財稅資訊開放與利用研究〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201600286

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