De-identification of primary care electronic medical records free-text data in Ontario,Canada |
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| Authors: | Karen Tu Julie Klein-Geltink Tezeta F Mitiku Chiriac Mihai Joel Martin |
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| Affiliation: | (1) Institute for Clinical Evaluative Sciences (ICES) G106, 2075 Bayview Avenue, M4N 3M5 Toronto, Ontario, Canada;(2) Department of Family and Community Medicine, University of Toronto, 263 McCaul Street, 5th Floor, M5T 1W7 Toronto, Ontario, Canada;(3) Toronto Western Hospital Family Health Team, University Health Network, 399 Bathurst Street, M5T 2S8 Toronto, Ontario, Canada;(4) Institute for Information Technology, National Research Council, 1200 Montreal Road, K1A 0R6 Ottawa, Ontario, Canada |
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| Abstract: | Background Electronic medical records (EMRs) represent a potentially rich source of health information for research but the free-text in EMRs often contains identifying information. While de-identification tools have been developed for free-text, none have been developed or tested for the full range of primary care EMR data |
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