Literature DB >> 10566442

Effective audit trails--a taxonomy for determination of information requirements.

P V Asaro1, R L Herting, A C Roth, M R Barnes.   

Abstract

Current methods of detecting confidentiality breaches in electronic medical record systems are inadequate, partially due to the lack of necessary information at the point of audit trail analysis. In order to determine the information requirements for effective audit trail analysis, we have formulated a taxonomy of confidentiality breaches. By considering scenarios in which an inappropriate access might occur, we have identified "indicators" of confidentiality breaches, which may be thought of as evidence suggesting the possibility that a confidentiality breach has occurred. The collection of facts needed to describe the indicators provides insight into the types of information needed to improve confidentiality breach detection. Much of the information needed is unlikely to be available in the patient record. Research is needed exploring means of collecting and utilizing information from sources other than the patient record for use in improving patient information security.

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Year:  1999        PMID: 10566442      PMCID: PMC2232638     

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


  4 in total

1.  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

2.  Control and use of health information: a doctor's perspective.

Authors:  F H Roger France
Journal:  Int J Biomed Comput       Date:  1996-10

3.  Security Audit Center--a suggested model for effective audit strategies in health care informatics.

Authors:  A Hayam
Journal:  Int J Biomed Comput       Date:  1994-02

4.  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
  4 in total
  5 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.  Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRs.

Authors:  Jihoon Kim; Janice M Grillo; Aziz A Boxwala; Xiaoqian Jiang; Rose B Mandelbaum; Bhakti A Patel; Debra Mikels; Staal A Vinterbo; Lucila Ohno-Machado
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

4.  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

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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