The group conducts research on the integration of artificial and human intelligence in the field of clinical reasoning. The team’s interests include the use of screen-based computer simulations such as virtual patients and e-learning platforms in developing and fostering clinical reasoning. We carry out projects focused on education in digital technologies in medicine. Our work explores the practical applications of large language models in medical education and clinical practice, as well as the development and evaluation of clinical decision support systems and e-health solutions.

Research group lead: Andrzej A. Kononowicz

Currently ongoing projects:

• D-CREDO (https://d-credo.eu)
• Chapter-SEA (https://chaptersea.com)

Selected publications:

• Fąferek J, Kononowicz AA, Bogutska N., Da Silva Domingues V., Davydova N., Frankowska A, Iguacel I., Mayer A., Morin L., Pavlyukovich N., Popova I., Shchudrova T., Sudacka M., Szydlak R., Hege I Applying ChatGPT to plan and create a realistic collection of virtual patients for clinical reasoning training. BMC Med Educ 2025, 25, 1277
• Kononowicz AA, Fąferek J, Frankowska A, Kocurek A, Sudacka M, Szydlak R. Augmenting not replacing: preparing the future health workforce for the digital tools revolution in clinical reasoning. In: Bubak M, Szymańska-Skolimowska E, editors. Proceedings of the Krakow Conference of Computational Medicine 2025: Enhancing Virtual Human Twin with AI solutions; 2025 Oct 15–17; Krakow. Sano Centre for Computational Medicine; 2025. p. 55–56. ISBN: 978-83-976637-0-1.
• Kıyak YS, Kononowicz AA. Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG. JMIR Form Res. 2025;9:e65726.
• Szydlak R, Kiyak YS, Hege I, Torre D, Kononowicz AA. Comparison of Human and GPT-Generated Concept Maps in a Clinical Reasoning Collection of Educational Virtual Patients. Stud Health Technol Inform. 2025 May 15;327:1024-1028.
• Mayer A, Hege I, Kononowicz AA, Müller A, Sudacka M. Collaborative Development of Feedback Concept Maps for Virtual Patient-Based Clinical Reasoning Education: Mixed Methods Study. JMIR Med Educ 2025;11:e57331.
• Kıyak YS, Kononowicz AA. Case-based MCQ generator: A custom ChatGPT based on published prompts in the literature for automatic item generation. Med Teach. 2024 Aug;46(8):1018-1020.
• Fąferek J, Cariou P-L, Hege I, Mayer A, Morin L, Rodriguez-Molina D, Sousa-Pinto B, Kononowicz AA. Integrating virtual patients into undergraduate health professions curricula: a framework synthesis of stakeholders’ opinions based on a systematic literature review. BMC Med Educ. 2024 Jul 5; 24(1):727.
• Stathakarou N, Kononowicz AA, Mattsson E, Karlgren K. Gamification in the Design of Virtual Patients for Swedish Military Medics to Support Trauma Training: Interaction Analysis and Semistructured Interview Study. JMIR Serious Games 2024;12:e63390
• Kıyak YS, Kononowicz A, Górski S. Multilingual Template-based Automatic Item Generation for Medical Education Supported by Generative Artificial Intelligence Models ChatGPT and Claude. Bio-Algorithms and Med-Systems 2024;20(1):81-96.
• Kononowicz AA, Torre D, Górski S, Nowakowski M, Hege I. The association between quality of connections and diagnostic accuracy in student-generated concept maps for clinical reasoning education with virtual patients GMS J Med Educ. 2023;40(5):Doc61
• Hege I, Adler M, Donath D, Durning SJ, Edelbring S, Elvén M, Bogusz A, Georg C, Huwendiek S, Körner M, Kononowicz AA, Parodis I, Södergren U, Wagner FL, Wiegleb Edström D. Developing a European longitudinal and interprofessional curriculum for clinical reasoning. Diagnosis (Berl). 2023 Feb 20.