Future of Medicine: How AI is revolutionizing medical studies!

Future of Medicine: How AI is revolutionizing medical studies!

On May 7, 2025, it will become clear how medical studies and medical training have changed in the last few decades. The Münster Study Hospital, which was set up in 2007, has set itself the goal of providing interprofessional training for nursing specialists and medical students. The aim is to optimally combine the various skills to ensure effective patient care. Prof. Dr. Bernd Marschall, dean of studies and director of the Institute for Training and Student Affairs, emphasizes that studying medicine is no longer just about imparting knowledge.

The comparison between medical studies back then and today shows a striking change. There used to be a surplus of doctors, whereas today there is an apparent shortage of doctors. Students at the time often had to work part-time to finance their studies. The amount of material that can be taught during the course has been significantly reduced. Medical expertise has a half-life of barely more than five years. With a six-year course, it is not possible to teach everything. Therefore, the focus is now on teaching skills and practical skills rather than pure knowledge.

Innovative teaching methods and digitalization

The concept of the Münster Study Hospital relies on creating value through appreciation. A good supervision ratio and intensive teaching evaluation should further improve the quality of training. The clinical study section, which includes a modularized reform curriculum, is particularly outstanding. These modules are linked thematically, for example in the area of ​​cardiovascular disease, and enable practical orientation through the study hospital and the “Limette” learning center.

Another flagship of the study model is the advancing digitalization. This includes digital organization of studies, an app for timetables and performance references, as well as the option to follow lectures digitally. Virtual reality (VR) is also already being used for teaching purposes, such as diagnosing brain death, which helps students better learn practical skills. The integration of artificial intelligence (AI) into medical teaching is considered promising.

Artificial intelligence in medical teaching

Like that lmuklinikum.de reports, the Artificial Intelligence in Medical Didactics working group has set itself the goal of advancing the use of AI in medical training. The working group works closely with various medical departments, didactics experts and technology providers. She develops AI-based teaching concepts and applications to support both students and teachers.

Comprehensive advice and support promotes the implementation of AI-supported solutions in medical teaching, with the evaluation of these technologies' effectiveness also being an important aspect. The aim is to promote the sustainable development of innovative learning technologies and to network experts with each other to ensure the exchange of best practices.

However, the challenges in teaching are there. The commercialization of healthcare and the separation between research and teaching pose serious questions for the future of medical education. Those interested should therefore specifically question their motivation for studying medicine in order to meet the increasing demands.