Technology-enhanced learning

Leveraging technology to enhance learning 

MERU has extensive expertise in working with interdisciplinary teams in medicine, business, informatics and mathematics to create clinically-orientated, blending programmes utilizing innovative learning technologies.  Additionally, we support faculty in conducting their own research into innovative educational strategies, for example mixed-reality clinical teaching using Hololens and students in developing computer coding skills through the “Coding for Medics” course.

Awards, grants and prizes

  • International of Society of Surgery (ISS), 47th World Congress of Surgery, American Association for Surgery and Trauma (AAST).  Prize Presentations in Trauma.
  • Swedish Armed Forces: Exploring the Impact of Virtual Patient Design in Supporting Education and Training for Team Leader’s decision making in civil and military trauma care.
  • Karolinska Institute and Swedish Armed Forces: Using Artificial Intelligence Techniques to Explore Trauma Registries for Education and Decision Making.
  • Swedish Armed Forces: Design of Blended Learning for Civil and Military Trauma Care.
  • VINNOVA, Swedish Innovation Agency: Testbed for Patient Centred Health Innovations.
  • Interreg Program: Denmark, Sweden and Norway: MedCoast Scandinavia in Life Science, European Regional Development Fund:Corridor of Innovation and Cooperation, Coinco North I and I.I,

Research outputs

  • Peterson G, Rydmark M, Thulin A, Sonesson L. (2020) Medical Informatics: LIBER. 

  • Bogomolova, K., A. H. Sam, A. T. Misky, C. M. Gupte, P. H. Strutton, T. J. Hurkxkens, and B. P. Hierck. “Development of a Virtual Three-Dimensional Assessment Scenario for Anatomical Education.” Anat Sci Educ  (Jan 19 2021). https://doi.org/10.1002/ase.2055.  

  • Sam, A. H., K. R. Millar, and M. G. F. Lupton. “Digital Clinical Placement for Medical Students in Response to Covid-19.” Acad Med 95, no. 8 (Aug 2020): 1126. https://doi.org/10.1097/ACM.0000000000003431.  

  • Morton, C. E., S. F. Smith, T. Lwin, M. George, and M. Williams. “Computer Programming: Should Medical Students Be Learning It?” [In eng]. JMIR Med Educ 5, no. 1 (Mar 22 2019): e11940. https://doi.org/10.2196/11940.  

  • Sonesson, L., K. Boffard, L. Lundberg, M. Rydmark, and K. Karlgren. “The Potential of Blended Learning in Education and Training for Advanced Civilian and Military Trauma Care.” [In eng]. Injury 49, no. 1 (Jan 2018): 93-96. https://doi.org/10.1016/j.injury.2017.11.003.  

  • Morton, C. E., S. N. Saleh, S. F. Smith, A. Hemani, A. Ameen, T. D. Bennie, and M. Toro-Troconis. “Blended Learning: How Can We Optimise Undergraduate Student Engagement?”. BMC Med Educ 16 (Aug 4 2016): 195 195. https://doi.org/10.1186/s12909-016-0716-z.  

  • Leedham-Green, K. E., E. Smyrnakis, A. Wylie, M. Chourdakis, A. Stephenson, and A. Benos. “Breaking Down the Barriers to International Collaboration through Technology.” Educ Prim Care 27, no. 5 (Sep 2016): 431. https://doi.org/10.1080/14739879.2016.1203269.  

  • Toro-Troconis, Maria, Caroline Morton, Taylor Bennie, Charlie Leppington, Ashish Hemani, and Martin Lupton. 2016. “Design, Development and Implementation of a Mobile Learning Strategy for Undergraduate Medical Education”. Journal of EAHIL 11 (2). http://ojs.eahil.eu/ojs/index.php/JEAHIL/article/view/38. 

  • Korkiakangas, Terhi, Sharon-Marie Weldon, Jeff Bezemer, and Roger Kneebone. “Video-Supported Simulation for Interactions In the Operating Theatre (Visiot).” Clinical Simulation in Nursing 11, no. 4 (2015/04/01/ 2015): 203-07. https://doi.org/10.1016/j.ecns.2015.01.006.  

  • Smith, S. F., N. J. Roberts, and M. R. Partridge. “What Factors Influence Postgraduate Medical Trainee Attitudes to Computer-Based Learning?”. The Internet Journal of Medical Education 1, no. 2 (// 2010). https://doi.org/10.5580/444.