Text de-identification for privacy protection: A study of its impact on clinical text information content

Journal of Biomedical Informatics

Volumn 50, Issue , 2014, Pages 142-150

  Meystre, Stéphane M ^a,b   Ferrández, Óscar ^c   Friedlin, F Jeffrey ^d   South, Brett R ^c   Shen, Shuying ^a,b   Samore, Matthew H ^a,b  

^a UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^b VA SCL Health Care System   (United States)

^c NUANCE COMMUNICATIONS   (United States)

^d REGENSTRIEF INSTITUTE   (United States)

Author keywords

Confidentiality, patient data privacy; De identification, anonymization, electronic health records; Medical informatics; Natural language processing; United states department of veterans affairs

Indexed keywords

AUTOMATION; DATA PRIVACY; HOSPITAL DATA PROCESSING; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

ANONYMIZATION; DEPARTMENT OF VETERANS AFFAIRS; MEDICAL INFORMATICS; NATURAL LANGUAGE PROCESSING; PATIENT DATA;

LINGUISTICS;

AMBIGUITY; ARTICLE; CLINICAL STUDY; CONFIDENTIALITY; DATA EXTRACTION; HUMAN; MEDICAL INFORMATION; NOMENCLATURE; NULL HYPOTHESIS; PATIENT IDENTIFICATION; PATIENT INFORMATION; PRIORITY JOURNAL; PRIVACY; TEXT DE IDENTIFICATION; AUTOMATION; ELECTRONIC MEDICAL RECORD; GOVERNMENT; SYSTEMATIZED NOMENCLATURE OF MEDICINE; UNITED STATES;

AUTOMATION; ELECTRONIC HEALTH RECORDS; PRIVACY; SYSTEMATIZED NOMENCLATURE OF MEDICINE; UNITED STATES; UNITED STATES DEPARTMENT OF VETERANS AFFAIRS;

EID: 84905185556     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.01.011     Document Type: Article

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