CALL FOR A DOCTORAL SCHOLARSHIP
Title : Tools for improving the care pathway: analysis of health data governance from a law perspective
Under the supervision of :
Dr. Th. de Ravel d'Esclapon
Associate professor - University of Strasbourg, Faculty of Law
Research laboratory : UMR 7354 DRES
The scholarship, during a maximum of three years, will allow the candidate to carry out a PHD Thesis, according to the following subject. The improvement and simplification of the care pathway is at the heart of an ethical and legal reflection on technological innovation in the health field. Within the framework of the thesis, the ambition is to build an ethical framework in order to support "Territoire de Santé Demain" (a public initiative led by the Eurometropole of Strasbourg and the University of Strasbourg) and its actions in their questioning of the ethical dimension (e.g., health ethics, research ethics, data ethics, AI ethics). It being understood that the question of data is central, in that it is sensitive data in the sense of the RGPD.
The PHD projects has three dimensions:
In addition, in parallel to the construction of this framework useful to SDT actions, the thesis will consider a reflection on the legal dimension of AI. Indeed, artificial intelligence in health opens very promising perspectives to improve the quality of care for the benefit of the patient and to reduce their cost - through a more personalized and predictive care - but also their safety - thanks to a reinforced support to medical decision and a better traceability. It can also contribute to improving access to healthcare for citizens, thanks to medical pre-diagnosis systems or assistance with orientation in the healthcare process. (Cédric Villani, 2017-2018 parliamentary mission, "Giving meaning to artificial intelligence"). From this point of view, improving the care pathway is central. That said, while the health sector is a place of numerous and rich potential innovations, the data processed there is particularly sensitive as it touches on the human, on life. Health applications are multiplying and involve many different players. Reflecting on these potentialities within a solid and shared ethical framework must constitute the originality and strength of the work that will be carried out in this framework. For example, the subject of consent to the sharing of health information, informed consent of the individual, is one of the key subjects to be developed in the framework of an ethical AI, both during the research phases and in the phases of operational implementation of AI algorithms. This requires trusted third-party infrastructures combined with AI approaches to bring a credible, readable ethical dimension to patients.
The PHD Thesis will made under the direction of Dr. Thibault de Ravel d'Esclapon (PhD, HDR), in his affiliated laboratory.
The contract will begin as soon as possible and will last, as maximum, three years.
The candidate will have a Master completed (equivalent of a Master 2 in France) and would obligatory be fluent in French.Selection process
The selection will take place on file. Selected candidates may be heard by a committee.Offer Requirements
An equivalent of a french Master 2 Degree is required.
The candidate need to speak and write french.Contact Information