Entry requirements

60 credits in science/engineering. Introduction to Biomedical Engineering. Human-Computer Interaction. Scientific Computing. Computer Programming. At least 2 credits from each of the courses Regulatory Systems, Patient Safety and Ethics and Biomedical Sensor Technology.

Learning outcomes

On completion of the course, the student should 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
• analyse 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. Ethics and security. Image acquisition, analysis and processing techniques. Medical terminology and standards. Modelling, simulation, and visualization 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. Supervision of group projects.

Assessment

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

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.