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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Managing Security Risk: Modeling the Root Causes of Data Breaches.

Diane Dolezel1, Alexander McLeod

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Summary

Identifying health care data breach causes is difficult. This study developed a model of potential data breach factors, including organizational, process, and technological elements, to aid risk assessment and mitigation strategies.

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Area of Science:

  • Health Informatics
  • Cybersecurity
  • Risk Management

Background:

  • Healthcare data breaches are increasing significantly.
  • Identifying root causes of these breaches remains a complex challenge.
  • Effective risk assessment and predictive analysis are crucial for healthcare data security.

Purpose of the Study:

  • To identify potential root causes of healthcare data breaches.
  • To develop a comprehensive model of factors contributing to data breaches.
  • To provide a framework for risk assessment and future predictive analysis in healthcare security.

Main Methods:

  • Exploratory study considering organizational factors, business processes, and technological tools.
  • Development of a testable healthcare data breach model.
  • Integration of legal requirements, security industry frameworks, and healthcare standards.

Main Results:

  • A structured model identifying potential data breach factors was created.
  • The model incorporates organizational, process, and technological dimensions.
  • The developed model is suitable for risk assessment and predictive analysis.

Conclusions:

  • The developed security model offers valuable insights for healthcare managers.
  • It aids in conducting thorough risk assessments and resource allocation.
  • The model assists in minimizing security risks associated with healthcare data.