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Cyber-analytics: Modeling factors associated with healthcare data breaches

机译:网络分析:与医疗保健数据泄露相关的建模因素

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The purpose of this study was to develop a model of factors associated with healthcare data breaches. Variables were operationalized as the healthcare facilities' level of exposure, level of security, and organizational factors. The outcome variable was the binary value for data breacho data breach. Because healthcare data breaches carry the risk of personal health information exposure, corruption or destruction, this study is important to the healthcare field. Data were obtained from the Department of Health and Human Services database of healthcare facilities reporting data breaches and from a large national database of technical and organizational infrastructure information. Binary logistic regression was utilized to examine a representative data breach model. Results indicate several exposure, security and organizational factors significantly associated with healthcare data breaches. (C) 2018 Elsevier B.V. All rights reserved.
机译:这项研究的目的是建立与医疗保健数据泄露相关的因素模型。将变量作为医疗机构的暴露水平,安全水平和组织因素进行操作。结果变量是数据泄露/没有数据泄露的二进制值。由于医疗保健数据泄露会带来个人健康信息暴露,损坏或破坏的风险,因此本研究对医疗保健领域很重要。数据是从卫生与公共服务部的医疗机构报告数据泄露的数据库以及大型国家技术和组织基础设施信息数据库中获得的。二进制逻辑回归用于检验代表性数据泄露模型。结果表明,与医疗保健数据泄露显着相关的几种暴露,安全和组织因素。 (C)2018 Elsevier B.V.保留所有权利。

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