course-details-portlet

IT6122 - Clinical Information and Knowledge Systems

About

Examination arrangement

Examination arrangement: Portfolio
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Portfolio 100/100 A

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

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 is portfolio assessment and consists of the following:

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

All assignments must be submitted in Inspera. In the group assignment, the students must create and submit an agreement and a self-declaration on cooperation and each student's own effort. Everyone in the group gets the same score for the joint answer. Each part of the portfolio is given points between 0 and 100. Letter grade is given individually on the total portfolio and on the basis of points and weighting of the parts included.

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.

More on the course

Facts

Version: 1
Credits:  10.0 SP
Study level: Further education, higher degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: Norwegian

Location: Trondheim

Subject area(s)
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science

Department with administrative responsibility
Section for quality in education and learning environment

Timetable

List view
Calendar view

Examination

Examination arrangement: Portfolio

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Portfolio 100/100 A

Submission
2024-12-16


14:00

INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

More on examinations at NTNU