A multi-institution evaluation of clinical profile anonymization | Zendy

Raymond Heatherly | Zendy; Luke V. Rasmussen | Zendy; Peggy Peissig | Zendy; Jennifer A. Pacheco | Zendy; Paul A. Harris | Zendy; Joshua C. Denny | Zendy; Bradley Malin | Zendy

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A multi-institution evaluation of clinical profile anonymization

Author(s) -

Raymond Heatherly,

Luke V. Rasmussen,

Peggy Peissig,

Jennifer A. Pacheco,

Paul A. Harris,

Joshua C. Denny,

Bradley Malin

Publication year - 2015

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 - 10.1093/jamia/ocv154

Subject(s) - data anonymization , context (archaeology) , generalization , computer science , biorepository , health records , compromise , systematized nomenclature of medicine , diagnosis code , electronic health record , safeguarding , medical record , medicine , data mining , population , snomed ct , information privacy , computer security , mathematics , health care , geography , environmental health , bioinformatics , biobank , terminology , social science , philosophy , economic growth , mathematical analysis , linguistics , archaeology , sociology , biology , radiology , nursing , economics

There is an increasing desire to share de-identified electronic health records (EHRs) for secondary uses, but there are concerns that clinical terms can be exploited to compromise patient identities. Anonymization algorithms mitigate such threats while enabling novel discoveries, but their evaluation has been limited to single institutions. Here, we study how an existing clinical profile anonymization fares at multiple medical centers.

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