This is the last year of the Medallion project, and close cooperation with the project consortium partners continues to be active. The development work is progressing steadily towards solutions that can genuinely improve a patient’s understanding and enhance communication between health care professionals and patients.

Lingsoft is leading the project’s “Patient as an active participant” user case, which focuses on strengthening the role patients play in their own care. The project has developed solutions based on artificial intelligence that can be used to convert complex patient reports into clear and understandable everyday language. This work has utilised the expertise of radiologists at Tampere University Hospital and the example medical reports produced by them, which are then processed with the latest large language models. The same materials have also been used in cooperation with AMD Silo AI, which has produced similar patient-friendly text versions with its own methods.

The Tampere University Computer-Human Interaction Research Center (TAUCHI) is studying how texts edited with help from AI can support a patient's understanding in comparison to traditional expert opinions. It will also be interesting to find out whether they can simultaneously reduce uncertainty and anxiety. 

The study utilises a virtual environment developed by TAUCHI that makes it possible to test and visualise the solutions in practice. A demo implemented in the virtual environment will provide an opportunity to examine which functionalities in the workspaces could help patients to better understand their situation. Lingsoft is participating in the demo by providing a speech recognition solution that is linked to the environment as well as large language model-based solutions to make expert information more accessible and easy to understand for patients.

During the project, close cooperation between research organisations, companies and health care experts has significantly increased the Medallion consortium’s competence and understanding of the technological solutions and how to apply them to practical needs in health care.