SYKK3000 Student BEST Course description

Student BEST - Better and systematic team training is a teaching program in collaboration between the nursing, radiography, bioengineering and paramedic education, specialisation in anesthesia nursing (master) at OsloMet and the medical education at University of Oslo. The learning program uses simulation in teams and is used as a training method in receiving and stabilising trauma. The main focus is communication and interaction in an interprofessional group.

The interdisciplinary teaching programme is in the 3rd year of study and the students will follow the prior knowledge requirement for the other courses - Passed 1 year, SYKK / SYKP-PRA21, SYKK/SYKP2100 and SYKK/SYKPPRA30 - to be able to participate here.*

* For year group 2022 at OsloMet, passed the first year of study, SYKK/SYKPPRA20, SYKK/SYKP1060, SYKK/SYKP200 and SYKK/SYKPPRA30.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of skills and competence:

Skills

The student

• can apply professional knowledge to contribute to collaboration in an interdisciplinary team

Competence

The student

• can assess their own professional role in an interdisciplinary context

The teaching program lasts one week, but each student only participates for 2 days. The learning activities are carried out in interprofessional student groups and take place at the SF unit at OsloMet (students nursing Pilestredet in Pilestredet and students nursing Kjeller at Kjeller).

The digitalization of medical and health care systems depends on medical devices with perception (i.e., sensing) and control (i.e., actuation) capabilities. To do their work, sensors and actuators require a transduction mechanism, such as that often provided by a mechanical element in the physical sensors. Generally stated, the transduction mechanism converts nonelectrical parameters to electrical ones in a calibrated way.

This course covers the definitions and structure of the sensors and actuators with a focus on medical and health care applications. In addition, the course introduces analytical methods and tools for multivariate calibration and evaluation of sensors and actuators.