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Related Experiment Videos

Using external data sources to improve audit trail analysis.

R L Herting1, P V Asaro, A C Roth

  • 1Department of Health Management and Informatics, University of Missouri-Columbia School of Medicine, USA.

Proceedings. AMIA Symposium
|November 24, 1999
PubMed
Summary
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Audit trail analysis for medical records can be improved by integrating external data sources. This enhances the ability to detect inappropriate access by identifying user-patient relationships and potential motives.

Area of Science:

  • Health Informatics
  • Computer Science
  • Information Security

Background:

  • Audit trail analysis is crucial for detecting inappropriate medical record use.
  • Current systems often lack sufficient data to establish user-patient relationships.
  • Reliance on limited internal medical record data hinders effective analysis.

Purpose of the Study:

  • To introduce a feature in the STAR (System for Text Archive and Retrieval) audit analysis system.
  • To augment medical record data with external information sources.
  • To improve the detection of inappropriate access by identifying user-patient relationships.

Main Methods:

  • Integrating data from database sources, LDAP servers, and WWW databases with medical record audit trails.
  • Addressing challenges associated with combining disparate information sources.

Related Experiment Videos

  • Utilizing enhanced person-specific information for relationship analysis.

    • Main Results:

    • Demonstrated a method to enrich audit trail data with external information.
    • Successfully combined information from diverse sources.
    • Obtained enhanced person-specific data for improved analysis.

    Conclusions:

    • Augmenting audit trails with external data enhances the detection of inappropriate medical record access.
    • The STAR system's feature aids in identifying user-patient relationships that may indicate malicious intent.
    • Improved data integration is key to robust medical record security and oversight.