| Anonymization of Longitudinal Electronic Medical Records. | |
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MedLine Citation:
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PMID: 22287248 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Electronic medical record (EMR) systems have enabled healthcare providers to collect detailed patient information from the primary care domain. At the same time, longitudinal data from EMRs are increasingly combined with biorepositories to generate personalized clinical decision support protocols. Emerging policies encourage investigators to disseminate such data in a de-identified form for reuse and collaboration, but organizations are hesitant to do so because they fear such actions will jeopardize patient privacy. In particular, there are concerns that residual demographic and clinical features could be exploited for re-identification purposes. Various approaches have been developed to anonymize clinical data, but they neglect temporal information and are thus insufficient for emerging biomedical research paradigms. This paper proposes a novel approach to share patient-specific longitudinal data that offers robust privacy guarantees, while preserving data utility for many biomedical investigations. Our approach aggregates temporal and diagnostic information using heuristics inspired from sequence alignment and clustering methods. We demonstrate that the proposed approach can generate anonymized data that permit effective biomedical analysis using several patient cohorts derived from the EMR system of the Vanderbilt University Medical Center. |
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Authors:
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A Tamersoy; G Loukides; M Nergiz; Y Saygin; B Malin |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-1-27 |
Journal Detail:
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Title: IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society Volume: - ISSN: 1558-0032 ISO Abbreviation: - Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-1-30 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9712259 Medline TA: IEEE Trans Inf Technol Biomed Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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