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BMI 5306 Securing Health Information in the AI Era

3 semester credit hours
Lecture contact hours: 2; Lab contact hours: 3
Web-based instruction

This course is designed for biomedical informatics students preparing for leadership roles in informatics. The course explores the unique challenges, threats, and safeguards relevant to healthcare environments in the era of generative AI. Core security principles, including risk assessment, identity and access management, network defense, incident response and recovery, regulatory frameworks, and compliance requirements, will be covered. Students will gain familiarity with the Health and Human Services (HHS) 405(d) Program and its associated cybersecurity practices.

Upon successfully completing the course, students will:

  • Identify and analyze cybersecurity threats and vulnerabilities unique to healthcare organizations, including those introduced by generative AI-enabled systems and emerging technologies.
  • Apply foundational security principles—such as risk assessment, identity and access management, encryption, and network defense—to protect health information in the era of generative AI.
  • Design effective incident response and recovery plans tailored to the operational, clinical, and regulatory needs of healthcare organizations in the era of generative AI.
  • Investigate relevant regulations, standards, and compliance requirements, including federal and state mandates governing healthcare cybersecurity.
  • Explore and utilize leading frameworks and methods, such as the HHS 405(d) Health Industry Cybersecurity Practices (HICP).
  • Develop effective oral and written communication skills for conveying cybersecurity concepts and risks to both technical and non-technical stakeholders.