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Related Experiment Video

Updated: May 29, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Threat modeling for electronic health record systems.

Ahmad Almulhem1

  • 1Computer Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. ahmadsm@kfupm.edu.sa

Journal of Medical Systems
|August 27, 2011
PubMed
Summary

Securing electronic health record (EHR) systems is vital. Attack trees analyze potential threats to EHR systems, offering countermeasures for enhanced data protection and user trust.

Area of Science:

  • Health Informatics
  • Cybersecurity
  • Information Security

Background:

  • Electronic health record (EHR) system security is paramount for widespread adoption.
  • Ensuring the protection of sensitive patient data from cyber threats is a critical challenge.
  • The complexity of EHR systems presents a vast landscape of potential attack vectors.

Purpose of the Study:

  • To apply threat modeling using attack trees to analyze security vulnerabilities in EHR systems.
  • To provide a structured methodology for understanding and mitigating risks associated with EHRs.
  • To identify and suggest effective countermeasures against identified threats.

Main Methods:

  • Utilized attack tree methodology for threat modeling.
  • Analyzed a generic client-server model of EHR systems.

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  • Incorporated system properties for quantitative and qualitative security analysis.
  • Main Results:

    • Developed a comprehensive attack tree for EHR systems.
    • Identified key vulnerabilities and attack pathways.
    • Highlighted specific system properties facilitating security analysis.

    Conclusions:

    • Attack tree analysis provides a robust framework for assessing EHR security.
    • Understanding attack trees enables proactive identification and mitigation of threats.
    • Implementing suggested countermeasures can significantly enhance EHR system security and data integrity.