Argumentation for traceable reasoning in teleexpertise.

In this paper we propose a methodological framework based on Artificial Intelligence tools such as Dung’s argumentation system in order to provide a decision support tool to the medical professionals performing an act of teleexpertise. The act of teleexpertise permits to medical professionals with different skills and specialities to collaborate remotely for taking suitable decisions for a patient diagnosis or treatment. But in case of litigation, it is important to know where the errors come from and who is the responsible of these errors. So by making the decision making process traceable, it will be easy to identify who is the responsible of the errors that lead to litigation. It is what we try to solve in this paper by proposing a framework coupling semantic modelling and argumentation system. A case study showing an act of teleexpertise to treat an elderly with subdural hematoma is provided in order to illustrate our proposal.