This PhD grant intends to exploit the capacity of Large Language Models (LLMs) to interpret the content of clinical documents produced in Emergency Departments (EDs) of hospitals in order to improve service quality for patients. The final goal of the project is to advance into the integration of generative AI models into healthcare, improving their alignment with the clinical expertise and the processes in EDs. The major context of the PhD will be the Horizon project eCREAM [1], where, through active scientific protocols, several EDs of different EU countries are involved. On the one hand, the project will take advantage of LLMs for automatic filling of Case Report Forms from anonymized clinical notes in several languages. On the other hand, the reasoning capacities of LLMs will then be applied to the extracted information to derive statistical analysis that helps decision makers for better process efficiency. The adoption of LLMs in the clinical field raises a number of research challenges, which will be addressed during the PhD. Such challenges include improving accuracy of performance, interpretability of decisions in classification tasks, coherence of reasoning capacity, mitigating the existence of biases, and risks related to data security.

This PhD opportunity is a collaboration between Fondazione Bruno Kessler and the University of Padova. For more information on this call and how to apply, please visit the website of the University of Padova (https://www.unipd.it/en/teaching-and-research/doctoral-degrees-phd-programmes/phd-programmes-calls-and-admissions/call-0).

[1] https://ecreamproject.eu/