DocumentCode
525646
Title
Email system architecture for HITECH compliance
Author
Gardazi, Syeda Uzma ; Shahid, Arshad ali
Author_Institution
Nat. Univ. of Comput. & Emerging Sci., Islamabad, Pakistan
fYear
2010
fDate
23-25 June 2010
Firstpage
561
Lastpage
570
Abstract
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.
Keywords
cryptography; genetic algorithms; health care; medical information systems; unsolicited e-mail; E-PHI; HITECH compliance; Health Insurance Portability & Accountability Act HEPAA; KCA; electronic protected health information; email encryption standard; email handler; email system architecture; genetic algorithm compliance model; healthcare industry; key compliance attribute; spam filter; user behaviour prediction model; Computer architecture; Cryptography; Filters; Genetic algorithms; Guidelines; Insurance; Medical services; Predictive models; Protection; Unsolicited electronic mail; Electronic Protected Health Information (E-PHI); Email Handler and Spam Filter (EHSF); Health Information Technology for Economic and Clinical Health (HITECH); Health Insurance Portability & Accountability Act (HIPAA); Key Compliance Attributes (KCA); Unsecured E-PHI and secured EPHI;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-7324-3
Electronic_ISBN
978-89-88678-22-0
Type
conf
Filename
5542860
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