course-details-portlet

IT6122

Clinical Information and Knowledge Systems

Choose study year
Credits 10
Level Further education, higher degree level
Course start Autumn 2025
Duration 1 semester
Language of instruction Norwegian
Location Trondheim
Examination arrangement Portfolio

About

About the course

Course content

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.

Learning outcome

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

Learning methods and activities

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.

Further on evaluation

The exam in the course is a portfolio assessment and consists of the following:

  • Two individual assignments, each worth ¼ of the portfolio. Each of the answers can be composed of both programming assignments, multiple choice answers and open texts.
  • A group assignment that counts 1/2 of the portfolio. The group assignment consists of an implementation project and a project report.

All answers must be submitted in Inspera. In the group assignment, students must create and submit an agreement and self-declarations about collaboration and individual effort. Everyone in the group receives the same score for the joint report. Each part of the portfolio is given points between 0 and 100. Letter grades are given individually on the overall portfolio and on the basis of points and weighting of the parts included. Guidance is provided during the sessions as well as digitally, both in groups and individually, as needed and by agreement.

Specific conditions

Admission to a programme of study is required:
Healthcare Informatics (MHI)

Required previous knowledge

Applicants should have passed IT6101 Introduction to Health Informatics and IT6102 Programming, or document similar formal or practical competency.

Course materials

Will be specified at start of course.

Coiera: The Guide to Health Informatics, 3ed, 2015. Robert A. Greenes: Clinical Decision Support: the road to broad adoption, 2ed, 2014. Forskningsartikler.

Subject areas

  • Technological subjects

Contact information

Examination

Examination

Examination arrangement: Portfolio
Grade: Letter grades

Ordinary examination - Autumn 2025

Portfolio
Weighting 100/100 Examination aids Code A Exam system Inspera Assessment