BoB, a best-of-breed automated text de-identification system for VHA clinical documents | Zendy

Óscar Ferrández | Zendy; Brett R. South | Zendy; Shuying Shen | Zendy; F Jeffrey Friedlin | Zendy; Matthew H. Samore | Zendy; Stéphane M. Meystre | Zendy

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BoB, a best-of-breed automated text de-identification system for VHA clinical documents

Author(s) -

Óscar Ferrández,

Brett R. South,

Shuying Shen,

F Jeffrey Friedlin,

Matthew H. Samore,

Stéphane M. Meystre

Publication year - 2012

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1136/amiajnl-2012-001020

Subject(s) - computer science , protected health information , identification (biology) , confidentiality , security token , artificial intelligence , pipeline (software) , information retrieval , natural language processing , medicine , computer security , public health , health promotion , botany , nursing , hrhis , biology , programming language

De-identification allows faster and more collaborative clinical research while protecting patient confidentiality. Clinical narrative de-identification is a tedious process that can be alleviated by automated natural language processing methods. The goal of this research is the development of an automated text de-identification system for Veterans Health Administration (VHA) clinical documents.

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