Literature DB >> 15755540

HIPAA compliant auditing system for medical images.

Zheng Zhou1, Brent J Liu.   

Abstract

As an official regulation for healthcare privacy and security, Health Insurance Portability and Accountability Act (HIPAA) mandates health institutions to protect health information against unauthorized use or disclosure. One such method proposed by HIPAA Security Standards is audit trail, which records and examines health information access activities. HIPAA mandates healthcare providers to have the ability to generate audit trails on data access activities for any specific patient. Although current medical imaging systems generate activity logs, there is a lack of formal methodology to interpret these large volumes of log data and generate HIPAA compliant auditing trails. This paper outlines the design of a HIPAA compliant auditing system (HCAS) for medical images in imaging systems such as PACS and discusses the development of a security monitoring (SM) toolkit based on some of the partial components in HCAS.

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Mesh:

Year:  2005        PMID: 15755540     DOI: 10.1016/j.compmedimag.2004.09.009

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  5 in total

1.  Role prediction using Electronic Medical Record system audits.

Authors:  Wen Zhang; Carl A Gunter; David Liebovitz; Jian Tian; Bradley Malin
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Business Model for the Security of a Large-Scale PACS, Compliance with ISO/27002:2013 Standard.

Authors:  Josefina Gutiérrez-Martínez; Marco Antonio Núñez-Gaona; Heriberto Aguirre-Meneses
Journal:  J Digit Imaging       Date:  2015-08       Impact factor: 4.056

3.  Realizing digital signatures for medical imaging and reporting in a PACS environment.

Authors:  Chung-Yueh Lien; Tsung-Lung Yang; Chia-Hung Hsiao; Tsair Kao
Journal:  J Med Syst       Date:  2013-01-13       Impact factor: 4.460

Review 4.  Multisite neuroimaging trials.

Authors:  John Darrell Van Horn; Arthur W Toga
Journal:  Curr Opin Neurol       Date:  2009-08       Impact factor: 5.710

5.  Using statistical and machine learning to help institutions detect suspicious access to electronic health records.

Authors:  Aziz A Boxwala; Jihoon Kim; Janice M Grillo; Lucila Ohno-Machado
Journal:  J Am Med Inform Assoc       Date:  2011 Jul-Aug       Impact factor: 4.497

  5 in total

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