Associate Professor & Senior Scientist, CAMES.
Deputy Editor of the Journals 'Perspectives on Medical Education' and 'Advances in Health Sciences Education'
Specialty: Obstetrics & Gynaecology
No. of publications: 70
Keywords: Competency-Based Medical Education, Assessment, transfer of learning, artificial intelligence.
Martin Tolsgaard's research aims at linking training and assessment with quality of care. He examines how to improve skills transfer from the simulated to the clinical setting using patient-level data as well as how to develop methods and systems for competency-based medical education (CBME). In doing this, he has a special focus on how to provide low-cost high-value medical education.
Plans for the future include using big data and artificial intelligence models to help design decision-support systems that can facilitate learning, automatize assessments, and improve performances with patients.
Tolsgaard MG, Boscardin CK, Park YS, Cuddy MM, Sebok-Syer SS. The role of data science and machine learning in Health Professions Education: practical applications, theoretical contributions, and epistemic beliefs. Adv Health Sci Educ Theory Pract. 2020 Dec;25(5):1057-1086.
Tolsgaard MG, Mahan Kulasegaram K, Woods NN, Brydges R, Ringsted C, Dyre L. The myth of ivory tower versus practice-oriented research: A systematic review of randomised studies in medical education. Med Educ. 2020 Sep 15.
PhD students (Medical Education)