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