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Volumn 169, Issue , 2011, Pages 862-866

De-identifying an EHR database-Anonymity, correctness and readability of the medical record

Author keywords

Confidentiality; Database; De identification; Electronic Health Record

Indexed keywords

DATABASE SYSTEMS; HEALTH CARE;

EID: 83055191218     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-806-9-862     Document Type: Conference Paper
Times cited : (10)

References (8)
  • 1
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    • Concept-match medical data scrubbing: How pathology text can be used in research
    • Berman J. Concept-Match Medical Data Scrubbing. How Pathology Text Can Be Used In Research, Archives of Pathology & Laboratory Medicine 2003, 680-6. (Pubitemid 36613219)
    • (2003) Archives of Pathology and Laboratory Medicine , vol.127 , Issue.6 , pp. 680-686
    • Berman, J.J.1
  • 2
    • 33846936304 scopus 로고    scopus 로고
    • Evaluating common de-identification heuristics for personal health information
    • DOI 10.2196/jmir.8.4.e28
    • Emam KE, Jabbouri S, Sams S, Drouet Y, Power M. Evaluating Common De-Identification Heuristics for Personal Health Information. Journal of Medical Internet Research 2006, 8(4):e28. (Pubitemid 47450199)
    • (2006) Journal of Medical Internet Research , vol.8 , Issue.4
    • El Emam, K.1    Jabbouri, S.2    Sams, S.3    Drouet, Y.4    Power, M.5
  • 3
    • 77955080124 scopus 로고    scopus 로고
    • Automatic de-identification of textual documents in the electronic health record: A review of recent research
    • Meystre S, Friedlin FJ, South BR, Shen S, Samore MH. Automatic de-identification of textual documents in the electronic health record: a review of recent research. BMC Medical Research Methodology 2010, 10:70.
    • (2010) BMC Medical Research Methodology , vol.10 , pp. 70
    • Meystre, S.1    Friedlin, F.J.2    South, B.R.3    Shen, S.4    Samore, M.H.5
  • 4
    • 0942266011 scopus 로고    scopus 로고
    • Evaluation of a Deidentification (De-Id) Software Engine to Share Pathology Reports and Clinical Documents for Research
    • DOI 10.1309/E6K3-3GBP-E5C2-7FYU
    • Gupta D, Saul M, Gilbertson J. Evaluation of a Deidentification (De-Id) Software Engine to Share Pathology Reports and Clinical Documents for Research, American Journal of Clinical Pathology 2004, 176-86. (Pubitemid 38140121)
    • (2004) American Journal of Clinical Pathology , vol.121 , Issue.2 , pp. 176-186
    • Gupta, D.1    Saul, M.2    Gilbertson, J.3
  • 5
    • 0030333205 scopus 로고    scopus 로고
    • Replacing personally-identifying information in medical records, the scrub system
    • Cimino JJ, ed
    • Sweeney L. Replacing Personally-Identifying Information in Medical Records, the Scrub System. In: Cimino JJ, ed. Proceedings, Journal of the American Medical Informatics Assoc 1996, 333-337
    • (1996) Proceedings, Journal of the American Medical Informatics Assoc , pp. 333-337
    • Sweeney, L.1
  • 7
    • 34548508913 scopus 로고    scopus 로고
    • Evaluating the State-of-the-Art in Automatic De-identification
    • DOI 10.1197/jamia.M2444, PII S106750270700179X
    • Uzuner O, Luo Y, Szolovits P. Evaluating the state-of-the-art in automatic de-identification. Journal of the American Medical Informatics Association 2007, 550-563. (Pubitemid 47379572)
    • (2007) Journal of the American Medical Informatics Association , vol.14 , Issue.5 , pp. 550-563
    • Uzuner, O.1    Luo, Y.2    Szolovits, P.3
  • 8
    • 71549144430 scopus 로고    scopus 로고
    • Developing a standard for de-identifying electronic patient records written in Swedish: Precision, recall and F-measure in a manual and computerized annotation trial
    • Velupillai S, Dalianis H, Hassel M, Nilsson GH. Developing a standard for de-identifying electronic patient records written in Swedish: Precision, recall and F-measure in a manual and computerized annotation trial, International Journal of Medical Informatics 2009, 78-90.
    • (2009) International Journal of Medical Informatics , pp. 78-90
    • Velupillai, S.1    Dalianis, H.2    Hassel, M.3    Nilsson, G.H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.