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PubMed · 12595658

Statement on scientific publication and security.

Ronald Atlas·Philip Campbell·Nicholas R Cozzarelli·Greg Curfman·Lynn Enquist·Gerald Fink·Annette Flanagin·Jacqueline Fletcher·Elizabeth George·Gordon Hammes·David Heyman·Thomas Inglesby·Samuel Kaplan·Donald Kennedy·Judith Krug·Rachel Levinson·Emilie Marcus·Henry Metzger·Stephen S Morse·Alison O'Brien·Andrew Onderdonk·George Poste·Beatrice Renault·Robert Rich·Ariella Rosengard·Steven Salzberg·Mary Scanlan·Thomas Shenk·Herbert Tabor·Harold Varmus·Eckard Wimmer·Keith Yamamoto·Journal Editors and Authors Group
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Access to InformationBioterrorismPeer Review, ResearchPeriodicals as TopicPublishingSecurity MeasuresTerrorismUnited StatesBiomedical and Behavioral ResearchWar and Human Rights AbusesEditorial

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Ronald Atlas, Philip Campbell, Nicholas R Cozzarelli, Greg Curfman, Lynn Enquist, Gerald Fink, Annette Flanagin, Jacqueline Fletcher, Elizabeth George, Gordon Hammes, David Heyman, Thomas Inglesby, Samuel Kaplan, Donald Kennedy, Judith Krug, Rachel Levinson, Emilie Marcus, Henry Metzger, Stephen S Morse, Alison O'Brien, Andrew Onderdonk, George Poste, Beatrice Renault, Robert Rich, Ariella Rosengard, Steven Salzberg, Mary Scanlan, Thomas Shenk, Herbert Tabor, Harold Varmus, Eckard Wimmer, Keith Yamamoto, Journal Editors and Authors Group. 2003-02-21. Statement on scientific publication and security.. https://doi.org/10.1126/science.299.5610.1149

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PubMed2007

The prevalence and inaccessibility of Internet references in the biomedical literature at the time of publication.

OBJECTIVES: To determine the prevalence and inaccessibility of Internet references in the bibliography of biomedical publications when first released in PubMed. METHODS: During a one-month observational study period (Feb 21 to Mar 21, 2006) the Internet citations from a 20% random sample of all forthcoming publications released in PubMed during the previous day were identified. Attempts to access the referenced Internet citations were completed within one day and inaccessible Internet citations were recorded. RESULTS: The study included 4,699 publications from 844 different journals. Among the 141,845 references there were 840 (0.6%) Internet citations. One or more Internet references were cited in 403 (8.6%) articles. From the 840 Internet references, 11.9% were already inaccessible within two days after an article's release to the public. CONCLUSION: The prevalence of Internet citations in journals included in PubMed is small (<1%); however, the inaccessibility rate at the time of publication is considered substantial. Authors, editors, and publishers need to take responsibility for providing accurate and accessible Internet references.

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PubMed2007

Securing electronic health records without impeding the flow of information.

OBJECTIVE: We present an integrated set of technologies, known as the Hippocratic Database, that enable healthcare enterprises to comply with privacy and security laws without impeding the legitimate management, sharing, and analysis of personal health information. APPROACH: The Hippocratic Database approach to securing electronic health records involves (1) active enforcement of fine-grained data disclosure policies using query modification techniques, (2) efficient auditing of past database access to verify compliance with policies and track security breaches, (3) data mining algorithms that preserve privacy by randomizing information at the individual level, (4) de-identification of personal health data using an optimal method of k-anonymization, and (5) information sharing across autonomous data sources using cryptographic protocols. CONCLUSIONS: Our research confirms that policies concerning the disclosure of electronic health records can be reliably and efficiently enforced and audited at the database level. We further demonstrate that advanced data mining and anonymization techniques can be employed to analyze aggregate health records without revealing individual patient identities. Finally, we show that web services and commutative encryption can be used to share sensitive information selectively among autonomous entities without compromising security or privacy.

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