A secure and efficiently searchable health information architecture.
Patient-centric repositories of health records are an important component of health information infrastructure. However, patient information in a single repository is potentially vulnerable to loss of the entire dataset from a single unauthorized intrusion. A new health record storage architecture,...
| Publicado en: | Journal of Biomedical Informatics Vol. 61; pp. 237 - 247 |
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| Autor principal: | |
| Formato: | Journal Article |
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Academic Press Inc.
Jun2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=115825559&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 115825559 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15320464 OMB jtl: Journal of Biomedical Informatics issn: 15320464 maglogo: N pubinfo: dt: Jun2016 vid: 61 pid: 735 pub: Academic Press Inc. place: Burlington, Massachusetts artinfo: ui: 115825559 115825559 NLM27109933 10.1016/j.jbi.2016.04.004 NLM27109933 115825559 ppf: 237 ppct: 10 formats: tig: atl: A secure and efficiently searchable health information architecture. aug: au: Yasnoff, William A. affil: NHII Advisors, 1854 Clarendon Blvd., Arlington, VA 22201-2914, United States sug: subj: Data Security Patient Record Systems Resource Databases Internet ab: Patient-centric repositories of health records are an important component of health information infrastructure. However, patient information in a single repository is potentially vulnerable to loss of the entire dataset from a single unauthorized intrusion. A new health record storage architecture, the personal grid, eliminates this risk by separately storing and encrypting each person's record. The tradeoff for this improved security is that a personal grid repository must be sequentially searched since each record must be individually accessed and decrypted. To allow reasonable search times for large numbers of records, parallel processing with hundreds (or even thousands) of on-demand virtual servers (now available in cloud computing environments) is used. Estimated search times for a 10 million record personal grid using 500 servers vary from 7 to 33min depending on the complexity of the query. Since extremely rapid searching is not a critical requirement of health information infrastructure, the personal grid may provide a practical and useful alternative architecture that eliminates the large-scale security vulnerabilities of traditional databases by sacrificing unnecessary searching speed. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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