Literature DB >> 15534752

Multidimensional analysis: a management tool for monitoring HIPAA compliance and departmental performance.

Robert M Coleman1, Matthew D Ralston, Alexander Szafran, David M Beaulieu.   

Abstract

Most RIS and PACS systems include extensive auditing capabilities as part of their security model, but inspecting those audit logs to obtain useful information can be a daunting task. Manual analysis of audit trails, though cumbersome, is often resorted to because of the difficulty to construct queries to extract complex information from the audit logs. The approach proposed by the authors uses standard off-the-shelf multidimensional analysis software tools to assist the PACS/RIS administrator and/or security officer in analyzing those audit logs to identify and scrutinize suspicious events. Large amounts of data can be quickly reviewed and graphical analysis tools help explore system utilization. While additional efforts are required to fully satisfy the demands of the ever-increasing security and confidentiality pressures, multidimensional analysis tools are a practical step toward actually using the information that is already being captured in the systems' audit logs. In addition, once the work is performed to capture and manipulate the audit logs into a viable format for the multidimensional analysis tool, it is relatively easy to extend the system to incorporate other pertinent data, thereby enabling the ongoing analysis of other aspects of the department's workflow.

Mesh:

Year:  2004        PMID: 15534752      PMCID: PMC3046603          DOI: 10.1007/s10278-004-1012-8

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  4 in total

1.  Creating an IHE ATNA-based audit repository.

Authors:  Bill Gregg; Horacio D'Agostino; Eduardo Gonzalez Toledo
Journal:  J Digit Imaging       Date:  2006-12       Impact factor: 4.056

Review 2.  The information security needs in radiological information systems-an insight on state hospitals of Iran, 2012.

Authors:  Akram Farhadi; Maryam Ahmadi
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

3.  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

4.  Privacy and security of patient data in the pathology laboratory.

Authors:  Ioan C Cucoranu; Anil V Parwani; Andrew J West; Gonzalo Romero-Lauro; Kevin Nauman; Alexis B Carter; Ulysses J Balis; Mark J Tuthill; Liron Pantanowitz
Journal:  J Pathol Inform       Date:  2013-03-14
  4 in total

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