The MITRE Identification Scrubber Toolkit: Design, training, and assessment

International Journal of Medical Informatics

Volumn 79, Issue 12, 2010, Pages 849-859

  Aberdeen, John ^a   Bayer, Samuel ^a   Yeniterzi, Reyyan ^b   Wellner, Ben ^a   Clark, Cheryl ^a   Hanauer, David ^c   Malin, Bradley ^d   Hirschman, Lynette ^a  

^a MITRE CORPORATION   (United States)

^b Carnegie Mellon University   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

^d VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

De identification; Electronic health records; Natural language processing; Privacy

Indexed keywords

DE-IDENTIFICATION; DISCHARGE SUMMARY; DIVERSE DATA SETS; ELECTRONIC HEALTH RECORD; END USERS; F-MEASURE; MEDICAL CENTER; MEDICAL RECORD; NATURAL LANGUAGE PROCESSING; OPEN SOURCE LICENSE; OPEN SOURCES; PATIENT IDENTIFIERS; PATIENT RECORD; PRIVACY; PROTECTED HEALTH INFORMATIONS; SENSITIVE INFORMATIONS; VANDERBILT UNIVERSITY; WORD LEVEL;

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; RECORDS MANAGEMENT; SCRUBBERS;

HEALTH;

ACCURACY; ARTICLE; AUTOMATION; COMPUTER PROGRAM; EVALUATION; HOSPITAL DISCHARGE; LABORATORY; MEDICAL INFORMATION SYSTEM; MEDICAL RECORD; MITRE IDENTIFICATION SCRUBBER TOOLKIT; PATIENT IDENTIFICATION; PRIORITY JOURNAL;

ALGORITHMS; CONFIDENTIALITY; DATA COLLECTION; ELECTRONIC HEALTH RECORDS; HUMANS; MEDICAL RECORD LINKAGE; PATIENT IDENTIFICATION SYSTEMS; SOFTWARE;

EID: 78650217579     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2010.09.007     Document Type: Article

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