Fraunhofer Academy
Fraunhofer Academy

M4 | Security of Computerised Systems in Healthcare

Technology Module

Cybersecurity threats exist everywhere, especially in healthcare. The implications of this cannot be overlooked. This module aims to provide healthcare professionals responsible for information-processing systems with increased awareness for identifying and assessing cybersecurity threats alongside knowledge to prevent accidents and actions to take in critical situations. The course addresses technical aspects as well as infrastructural and social dimensions.

Date dates will be announced soon
Location Online
Duration 16 hours learning time for self-pace learning and live sessions over a 4 week period
Organization Fraunhofer Institute for Manufacturing Engineering and Automation IPA department Clinical Health Technologies 
Language English

Learning objectives

Cybersecurity threats are lurking everywhere, especially in healthcare. We train healthcare professionals, who are responsible for information-processing systems, to identify and assess cybersecurity threats and endow them with the knowledge required to prevent accidents and act in critical situations. The module addresses technical aspects as well as infrastructural and social dimensions.

Content outline

The module will focus on the following main topics:

  • Overview of cybersecurity threats and counter measures
  • Practical guide to the prevention of information security threats
  • Worst-case examples, explained
  • Examples of current use cases
  • Best practices and pointers
  • Devise an action plan
  • Leveraging technology benefits for healthcare                   

Instructor(s)

Sebastian Schöning

Sebastian holds a degree in Computer Science. He has been a researcher with Fraunhofer IPA since 2008 and he has practical experience in the automation of processes in clinical and biotechnological contexts. His research focusses on novel approaches to process management for life-science applications, including the design of dedicated user interfaces and the application of machine learning and artificial intelligence.

 

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Oliver Österle

Oliver holds a degree in Computer Science. He has been a researcher with Fraunhofer IPA since 2014 and has a background in software development and robotics. His work focusses on developing novel labortatory devices and machine-to-machine communication in both laboratory and clinical enviroments.