Equitable healthcare requires early recognition of gender-related differences. However, medical training in Germany and the Netherlands still lacks systematic approaches to gender-sensitive diagnostics. As a result, gender-specific variations and implicit biases often remain invisible, which can lead to misdiagnoses and unequal care.
GenderMed-AI is developing an AI-supported, multilingual learning environment with synthetic consultation scenarios for this purpose. These scenarios reflect realistic differences in presentation, communication and decision-making and contain typical bias triggers. Participants train reflective clinical thinking and conscious handling of prejudices, supported by gender-sensitive didactic formats. The result is a practical, scalable learning tool that has not been available until now.
The German-Dutch cooperation draws on the strong expertise of the participating university medical centres. The joint development will create a cross-border reference framework for gender-sensitive medical training, which will improve the quality of care and contribute to reducing gender-specific health inequalities in the border region.
