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Resilience of clinical text de-identified with "hiding in plain sight" to hostile reidentification attacks by human readers.
Journal of the American Medical Informatics Association ( IF 4.7 ) Pub Date : 2020-09-15 , DOI: 10.1093/jamia/ocaa095
David S Carrell 1 , Bradley A Malin 2 , David J Cronkite 1 , John S Aberdeen 3 , Cheryl Clark 3 , Muqun Rachel Li 4 , Dikshya Bastakoty 2 , Steve Nyemba 2 , Lynette Hirschman 3
Affiliation  

Effective, scalable de-identification of personally identifying information (PII) for information-rich clinical text is critical to support secondary use, but no method is 100% effective. The hiding-in-plain-sight (HIPS) approach attempts to solve this “residual PII problem.” HIPS replaces PII tagged by a de-identification system with realistic but fictitious (resynthesized) content, making it harder to detect remaining unredacted PII.

中文翻译:

通过“隐藏在普通视线中”去识别的临床文本对人类读者的敌对重新识别攻击的弹性。

对于信息丰富的临床文本,有效、可扩展的个人识别信息 (PII) 去识别化对于支持二次使用至关重要,但没有一种方法是 100% 有效的。隐藏在普通视线 (HIPS) 方法试图解决这个“剩余 PII 问题”。HIPS 用真实但虚构(重新合成)的内容替换了由去识别系统标记的 PII,从而更难检测剩余的未编辑 PII。
更新日期:2020-09-30
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