A Comprehension Approach for Formalizing Privacy Rules of HIPAA for Decision Support

Imran Khan, Moheeb Alwarsh, J. Khan
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引用次数: 3

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.
基于决策支持的HIPAA隐私规则形式化理解方法
在本文中,我们探讨了电子病历(EMR)交易是否符合HIPAA等监管制度的自动验证。提出了一种基于HIPAA概念空间建模的方法。然后将HIPAA法律文本的条款转换为消除歧义的决策树(DDT)规则,该规则精确地标识每个工作流请求类型的允许、不允许和规定的操作。对于任何EMR查询,DT不仅可以验证合规性,还可以提供HIPAA规定的完整发布指南,生成解释和审计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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