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Related Experiment Videos

Development of CPR security using impact analysis.

J Salazar-Kish1, D Tate, P D Hall

  • 1Department of Clinical Computing, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA.

Proceedings. AMIA Symposium
|November 18, 2000
PubMed
Summary
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Institutions can analyze security impacts on electronic health record users before implementation using behind-the-scenes audits. This process refines security algorithms to protect patient data while minimizing workflow disruption.

Area of Science:

  • Health Informatics
  • Computer Science
  • Information Security

Background:

  • The Health Insurance Portability and Accountability Act (HIPAA) mandates protection of electronic patient records.
  • Unauthorized access, alteration, or loss of electronic health information poses significant risks.
  • Implementing security mechanisms requires careful consideration of user workflow impacts.

Purpose of the Study:

  • To present a process for evaluating the impact of security mechanisms on users of computerized patient records.
  • To develop and refine security algorithms that balance data protection with user workflow efficiency.
  • To ensure compliance with HIPAA regulations regarding electronic patient data security.

Main Methods:

  • Conducting "behind the scenes" electronic access audits to assess security mechanism impacts.

Related Experiment Videos

  • Utilizing an iterative process of design and evaluation for security algorithms.
  • Analyzing the effects of security measures on the overall user workflow.
  • Main Results:

    • A methodology for assessing the real-world impact of security controls on user activities.
    • Identification of security algorithms that effectively protect electronic health information.
    • Demonstration that security measures can be implemented with minimal disruption to user workflows.

    Conclusions:

    • "Behind the scenes" audits are effective for evaluating security impacts on electronic health record users.
    • Iterative design and evaluation lead to optimized security algorithms.
    • Balancing robust data protection with user workflow is achievable, ensuring HIPAA compliance.