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Large Language Models

The Danish healthcare system is challanged byLarge language models like GPT hold the potential to alleviate the current strain on healthcare systems by automating administrative tasks, responding to patient inquiries, and providing decision support to clinical staff, thus bridging "Dødens Gab" in healthcare services. I am exploring the legal and technical frameworks, and developing use cases within clinical practice to fully harness these models. My approach aims to demonstrate a clear vision of integrating advanced AI tools effectively in healthcare.

Innovative use of Health Data, Development of Synthethic data

Denmark have some of the best and most complete health data in the world. These data have considerable potential to enable the healthcare sector to detect diseases early, improve diagnosis and create individually tailored treatment. However, this potential cannot be realized easily because of the great difficulty in sharing the compiled health data.   

Synthetic Data is developed from original data sets making it impossible to trace the data back to the sources. This enables data to be shared – without compromising data security. In the SHARED project synthetic data is researched with Finnish partners Turku University Hospital and Institute for Molecular Medicine Finland (FIMM). 

Read more on the SHARED project

Motivation, Implementation and Innovation, translational research

Lifestyles changes as part of the treatment of patients with chronic diseases like diabetes, COPD, heart desieases and overveight have been shown to work in research project like our U-TURN2 but the results have not been sustainable or posible to implement in real life.

We have developed 5 motivational types based on which the rehab regimes can be tailored to each patients.  

Read more on Motivation