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篇名
健保資料目的外利用之法律爭議──從去識別化作業工具談起
並列篇名
Unsolved De-Identification Dilemma in Secondary Use of National Health Insurance Research Database
作者 吳全峰 (Chuan-Feng Wu)許慧瑩
中文摘要
我國衛生福利部中央健康保險署(原行政院衛生署中央健康保險局)於一九九六年委託國家衛生研究院建置「全民健康保險研究資料庫」,釋出依據法律執行全民健康保險業務所蒐集之全國民眾納保與就醫資料,提供醫療政策與公共衛生研究應用。然而,資料之釋出卻引起侵害民眾資訊隱私與隱私自主之疑慮,相關爭議包括告知後同意之欠缺、作業程序是否公開透明、新舊法之適用爭議、公共利益之範圍、資訊安全之質疑等,並有後續相關訴訟之提起。本文將就個人資料保護中之去識別化(無從識別特定當事人)議題,包括去識別化之內涵及如何達成去識別化,進行深入討論。
英文摘要
The National Health Insurance Research Database (NHIRD), derived from Taiwan’s mandatory National Health Insurance program with registration files and original claim data for reimbursement, were established by the National Health Insurance Administration (NHIA, the former Bureau of National Health Insurance, BNHI) in 1996 and maintained by the National Health Research Institute (NHRI). The database is commonly used for different types of researches such as biomedical, pharmacoepidemiological, and public health ones in Taiwan. However, the secondary use of individuals’ healthcare data has raised legitimate privacy concerns, including potential infringements of information privacy and privacy autonomy, lack of transparency,  delineation of public interest, and information security. Legal suits against NHRI and NHIA were also brought by human rights advocates. This article analyzed the legal requirements and techniques for de-identification of personal data under Taiwan’s privacy and personal data protection laws, with focus on the definition and concept of de-identification and different approaches and tools that can be applied to remove personal information from data and to delink relationships between data so that specific persons and their identities cannot be identified.
起訖頁 45-62
關鍵詞 健康資料目的外利用資訊隱私隱私自主去識別化National Health Insurance Research DatabaseSecondary UseInformation PrivacyPrivacy AutonomyDe-Identification
刊名 月旦法學雜誌  
期數 201801 (272期)
出版單位 元照出版公司
DOI 10.3966/102559312018010272005   複製DOI
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該期刊-上一篇 被淘空的法律保留與變質的資訊隱私憲法保障──評最高行政法院一○六年度判字第五四號判決與相關個資法條文
該期刊-下一篇 最高行政法院一○六年度判字第五四號判決(健保資料庫案)會議記錄
 

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