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Risk management-based security evaluation model for telemedicine systems.

Dong-Won Kim1, Jin-Young Choi1, Keun-Hee Han2

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Telemedicine offers remote patient care but faces significant cybersecurity threats. This study applies attack tree modeling to assess risks, identifying crucial areas for enhancing patient safety and remote healthcare security.

Keywords:
Medical information securitySmart medical securityTelecare securityTelemedicine security

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Area of Science:

  • Healthcare Informatics
  • Cybersecurity
  • Risk Management

Background:

  • Epidemic-causing infectious diseases like COVID-19 pose significant healthcare challenges.
  • Telemedicine is emerging as a solution for remote diagnosis and prescription, driven by information and communication technology (ICT).
  • The integration of ICT in medical systems introduces various security risks and threats, impacting patient safety and telemedicine quality.

Purpose of the Study:

  • To analyze security threats in telemedicine service areas.
  • To develop a comprehensive risk assessment method for telemedicine systems.
  • To identify and evaluate risk management strategies for telemedicine environments.

Main Methods:

  • Conducted on-site surveys within a medical institution to collect data on security threats across seven telemedicine service areas.
  • Utilized the attack tree modeling approach, a popular reliability and risk modeling technique.
  • Incorporated attack occurrence probability and attack success probability as variables for risk assessment.

Main Results:

  • The application of attack tree modeling to telemedicine revealed substantial security concerns.
  • Identified specific security threats relevant to different telemedicine service areas.
  • Assessed the benefits and limitations of various risk management and evaluation methods for telemedicine.

Conclusions:

  • This research provides valuable insights for security experts and researchers in the field of remote healthcare cybersecurity.
  • Highlights the need for comprehensive risk analysis and countermeasures to ensure patient safety in telemedicine.
  • Offers a framework for applying security risk modeling techniques to identify new opportunities in telemedicine security.