Learning in virtual health environments

Interprofessional student team in full-scale simulation

The overarching aim of this project is to generate and integrate knowledge of how IT can support learning across different virtual environments (visualisation, virtual patients and simulation) within healthcare education and practice.

The project comprise three substudies:

The first substudy focuses on how interprofessional learning and collaborative problem-solving be supported with computerised virtual patients.

Substudy two investigates the pre-clinical and clinical parts of healthcare education be bridged through the use of visualisation of the human biomedical musculoskeletal system.

The third substudy explores how instruction be designed to promote interprofessional learning in and through full-scale simulations.


The three-year project 2017-2019 is funded by Marcus and Amalia Wallenberg Foundation.



Principal Investigators

Photo of Hans Rystedt

Hans Rystedt


Department of Education, Communication and Learning

  • Gothenburg University
Photo of Li Fällender Tsai

Li Fällender Tsai


Director of the Center for Advanced Medical Simulation and Training (CAMST)

  • Karolinska Institute, Department of Clinical Science

Medical Education

The object of Medical Education research is the relational and continuous nature of pedagogical processes in professional health care education and in health care itself, and the knowledge-bases decisive for professional formation and intervention.

A young woman with electrodes in her head to record psychophysiological signals for research purposes.

Responsible Research

Deficiencies within research environments have gained public attention after several medical and scientific scandals. Are there features within research environments which may erode scientific standards?

Project group in Wranne theater, CMIV.

Medical Digital Twin

Medical Digital Twin (MeDigiT) is a platform with the aim of facilitating the use of personalized digital models in healthcare. The platform is a meeting place for stakeholders in the subject of medical digital twins.