Literature DB >> 10566469

Using external data sources to improve audit trail analysis.

R L Herting1, P V Asaro, A C Roth, M R Barnes.   

Abstract

Audit trail analysis is the primary means of detection of inappropriate use of the medical record. While audit logs contain large amounts of information, the information required to determine useful user-patient relationships is often not present. Adequate information isn't present because most audit trail analysis systems rely on the limited information available within the medical record system. We report a feature of the STAR (System for Text Archive and Retrieval) audit analysis system where information available in the medical record is augmented with external information sources such as: database sources, Light-weight Directory Access Protocol (LDAP) server sources, and World Wide Web (WWW) database sources. We discuss several issues that arise when combining the information from each of these disparate information sources. Furthermore, we explain how the enhanced person specific information obtained can be used to determine user-patient relationships that might signify a motive for inappropriately accessing a patient's medical record.

Entities:  

Mesh:

Year:  1999        PMID: 10566469      PMCID: PMC2232542     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  3 in total

1.  Audit logs--a security tool for CPRs.

Authors:  G F Murphy
Journal:  J AHIMA       Date:  1996-06

2.  Design of access control methods for protecting the confidentiality of patient information in networked systems.

Authors:  J W Bowen; J C Klimczak; M Ruiz; M Barnes
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

3.  Protection of confidentiality in the computer-based patient record.

Authors:  C Safran; D Rind; M Citroen; A R Bakker; W V Slack; H L Bleich
Journal:  MD Comput       Date:  1995 May-Jun
  3 in total
  4 in total

1.  Development of CPR security using impact analysis.

Authors:  J Salazar-Kish; D Tate; P D Hall; K Homa
Journal:  Proc AMIA Symp       Date:  2000

2.  Evaluating the Effectiveness of Auditing Rules for Electronic Health Record Systems.

Authors:  Monica Hedda; Bradley A Malin; Chao Yan; Daniel Fabbri
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

3.  Explaining accesses to electronic medical records using diagnosis information.

Authors:  Daniel Fabbri; Kristen Lefevre
Journal:  J Am Med Inform Assoc       Date:  2012-11-02       Impact factor: 4.497

4.  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 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.