Personalization TrAlning in Medicine - lntegrating State-of-the-Art Personalized Knowledge and Technologies into Medical Education (PerTRAIN)

Basic data for this project

Description

The project team deals with personality differences in doctor-patient communication as a central challenge in medical practice. The ability of doctors to recognize different patient personalities, to reflect on them and to communicate adequately with them is crucial for sustainable treatment. However, this topic is currently insufficiently addressed in medical training. The project aims to close this gap: The integration of AI technologies will promote the training of personalized communication in medical education and practice. The applicant and his project team will use Large Language Models (LLMs) to develop psychologically meaningful, personalized patient models and implement them in suitable modern communication tools. By integrating psychological, informatics and medical didactic expertise, the project team will train and further develop state-of-the-art LLMs using medical communication data. Furthermore, it will integrate the models for developing medical scenarios into interaction systems of varying complexity and implement personalization training on a national level. The latter will be done, for example, by integrating the findings into curricula, introducing online certificates and nationwide training courses. In addition, the research results will be published in relevant specialist journals. This project will contribute to AI-supported, personalized medical training and extend findings from personality research to AI entities.