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Email system architecture for HITECH compliance

机译:符合HITECH的电子邮件系统架构

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摘要

This paper aims at proposing a guideline for the health care industry covered under Health Insurance Portability & Accountability Act (HEPAA). In this paper Key Compliance Attributes (KCA) for email system are defined. At the next level architecture for Email Handler and Spam Filter (EHSF) is devised. Two soft computing models named "user behaviour prediction model" and "genetic algorithm compliance model" are proposed. The healthcare industry can implement it to guard against unauthorized access to the Electronic Protected Health Information (E-PHI). Protected Health Information (PHI) refers to any health information that could be expected to reveal the identity of an individual. It includes the explicitly linked data and also that which could be used to determine the identity of an individual. To secure E-PHI according to HTPAA rules employs secure transmission systems and/or encryption when e-mailing or transmitting patient data. This paper also proposes the best email encryption standard for Health Information Technology for Economic and Clinical Health (HITECH) Act compliance to secure PHI.
机译:本文旨在为健康保险可移植性和责任法案(HEPAA)所涵盖的健康护理行业提出指南。本文定义了电子邮件系统的关键法规遵从属性(KCA)。在下一级别,设计了电子邮件处理程序和垃圾邮件过滤器(EHSF)的体系结构。提出了两种软计算模型,分别为“用户行为预测模型”和“遗传算法依从模型”。医疗保健行业可以实施它,以防止未经授权访问电子保护健康信息(E-PHI)。受保护的健康信息(PHI)是指可以期望揭示个人身份的任何健康信息。它包括显式链接的数据,以及可以用来确定个人身份的数据。为了根据HTPAA规则保护E-PHI,在通过电子邮件发送或发送患者数据时采用安全的传输系统和/或加密。本文还提出了符合经济和临床健康卫生信息技术(HITECH)法案的最佳电子邮件加密标准,以保护PHI。

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