AI and cyber risks management in healthcare-related services

If you are a healthcare professional, healthcare IT specialist, or working with healthcare related services or within social care, and want to understand more about how to deal with traditional and emerging "AI-driven" cybersecurity threats, this course is for you!
About the course
This course provides a comprehensive overview of both conventional and evolving cybersecurity threats faced by healthcare systems, with a particular focus on ransomware attacks and AI-powered social engineering The course combines theory and interactive workshops to enhance cybersecurity awareness and support the protection of IT systems and sensitive personal data.
You'll learn how to:
- Describe basic cybersecurity concepts and apply the CIA Triad (Confidentiality, Integrity, and Availability) for information security.
- Detect AI-driven and traditional cybersecurity threats in healthcare systems.
- Analyze and explain basic prevention and solution methods for cyber hygiene.
Who is the course suitable for?
Healthcare IT specialists, healthcare professionals, administrators and healthcare related service staff.
Teaching and Learning Activities
The course is at undergraduate level, has a study pace of 25% and provides 3 ECTS. Lectures and workshops are given remotely. The course is designed so that studies and work can be combined. Teaching is mostly in English.
The course combines theory and an interactive workshop where you get to participate in lectures and discussions with instructors and fellow participants. The course involves active participation in discussions and the completion of a single written assignment, to be presented and discussed during a seminar. An important part of the course consists of the exchange of knowledge and experience with other course participants. Teaching is carried out remotely via Zoom meetings and Canvas, which is Karlstad University's learning platform.
Course leader
Samuel Wairimu, PhD, Researcher in cybersecurity, digital health, privacy technology, data protection, privacy impact/data protection of emerging technologies, and AI
Examination
All intended learning outcomes are examined through written and oral individual assignments that are presented and discussed at a compulsory seminar.
Required Knowledge
2 years of work experience in professional activities relevant to the course. Upper secondary school English 6. A corresponding assessment can be made.