Entry requirements

120 credits with 60 credits science studies including a course at Master's level in Computer Supported Image Analysis, e.g., 1TD396, or a course at Master's level in Human-Computer Interaction.

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).