Clinical Information and Knowledge Systems

The course will give a theoretical and practical introduction to different kinds of decision support, modelling of clinical information and knowledge, clinical recommendations and guidelines, evaluation and quality.

By completing this course, you will have

knowledge about:

• clinical decision support
• history of development of decision support systems
• the role of knowledge modelling in decision support
• common forms of decision support like rule-based reminders, clinical guidelines and recommendations, on-demand cases and data-driven decision aids.
• the relationship between decision support and health records.

cababilities in:

• modelling information and knowledge in UML, OWL and similar formalisms
• making simple rule-based systems
• using Protégé
• use of medical language models (LLM) and data driven decision support

general competency in:

• opportunities and limitations for clinical decision support
• experience with clinical decision support
• representations of clinical recommendations
• norms and standards related to decision support software

The course is project- and laboratory-oriented and develops practical capabililties through experiments, programming, modelling, testing and evaluation.

Collaborative group effort combined with lectures and participant work experience enables multidisciplinary methods and student-driven learning.