DocumentCode :
1829538
Title :
A Comprehension Approach for Formalizing Privacy Rules of HIPAA for Decision Support
Author :
Khan, Imran ; Alwarsh, Moheeb ; Khan, Javed I.
Author_Institution :
Dept. of Comput. Sci., Int. Islamic Univ. (IIU), Islamabad, Pakistan
Volume :
2
fYear :
2013
fDate :
4-7 Dec. 2013
Firstpage :
390
Lastpage :
395
Abstract :
In this paper we explore automated verification of electronic medical record (EMR) transaction for compliance with a regulatory regimen such as HIPAA. We present an approach based on modeling the conceptual space of HIPAA. The clauses of HIPAA legal text is then converted into a disambiguated decision tree (DDT) rules precisely identifying the allowed, dis-allowed and prescribed actions per work flow request type. Given any EMR query the DT then enables one not only to verify the compliance as well as provide complete release guidance as prescribed by HIPAA, generate explanation and audit.
Keywords :
data privacy; decision support systems; decision trees; electronic health records; formal verification; health care; law; query processing; text analysis; DDT; EMR query; HIPAA; Portability-and-Accountability Act; US health care system efficiency improvement; allowed action-per-work flow request type; automated electronic medical record transaction verification; computer assisted intelligent verification; decision support; disallowed action-per-work flow request type; disambiguated decision tree rules; legal text conversion; medical information exchange; prescribed action-per-work flow request type; privacy rule formalization; regulatory regimen; Authorization; Decision trees; Human immunodeficiency virus; Law; Semantics; HIPAA; Logical Rules Set; Privacy Rules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Applications (ICMLA), 2013 12th International Conference on
Conference_Location :
Miami, FL
Type :
conf
DOI :
10.1109/ICMLA.2013.154
Filename :
6786141
Link To Document :
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