Syllabus for Medical Informatics

Medicinsk informatik

A revised version of the syllabus is available.

  • 5 credits
  • Course code: 1MD030
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Computer Science A1F, Human-Computer Interaction A1F

    Explanation of codes

    The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:

    First cycle

    • G1N: has only upper-secondary level entry requirements
    • G1F: has less than 60 credits in first-cycle course/s as entry requirements
    • G1E: contains specially designed degree project for Higher Education Diploma
    • G2F: has at least 60 credits in first-cycle course/s as entry requirements
    • G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
    • GXX: in-depth level of the course cannot be classified

    Second cycle

    • A1N: has only first-cycle course/s as entry requirements
    • A1F: has second-cycle course/s as entry requirements
    • A1E: contains degree project for Master of Arts/Master of Science (60 credits)
    • A2E: contains degree project for Master of Arts/Master of Science (120 credits)
    • AXX: in-depth level of the course cannot be classified

  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2014-03-13
  • Established by: The Faculty Board of Science and Technology
  • Applies from: Autumn 2014
  • Entry requirements:

    120 credits with 60 credits science studies including an advanced course in Computer Supported Image Analysis. An introductory course in Human-Computer Interaction is recommended. 

  • Responsible department: Department of Information Technology

Learning outcomes

In order to pass, the student must be able to

  • determine which problems in health care practice are appropriate to address, including ethical and safety positions, by using computerised methods for visualisation and analysis
  • account for how practices within health care can be supported by computerised tools
  • select and apply appropriate methods, e.g. from image analysis, for addressing specific problems in health care
  • describe how the requirements of different stakeholders within health care (e.g. physicians, nurses, lab analysts) can be studied and fulfiled
  • describe the challenges in designing advanced data analysis and information systems for health care practice
  • account for the challenges in deploying and using advanced data analysis and information systems in health care practice

Content

Medical documentation and electronic patient records. Image capturing, analysis and processing techniques. Medical terminology and standards. Modelling, simulation, and visualisation as tools for diagnosis and therapy. Medical knowledge representation and decision support. User interfaces in health care. Telemedicine.

Instruction

Lectures. Project work in groups. Guest lectures. Study visits. Tutoring of group work.

Assessment

Written tests and assignments (3 credits). Oral and written presentation of project work (2 credits).

Syllabus Revisions

Reading list

The reading list is missing. For further information, please contact the responsible department.

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