Boris Delange
Physician – Medical informatics
Hospital-University Assistant, Rennes University Hospital – LTSI INSERM UMR 1099
About
An intensive care physician by training, I have been working since 2023 as a Hospital-University Assistant in medical informatics at the Clinical Data Center (CDC) of Rennes University Hospital, within the Medical Information Department. I am also a researcher at LTSI (INSERM UMR 1099, University of Rennes), in the DOMASIA team (Massive Data and Learning Information Systems in Health).
This dual clinical and informatics expertise places me at the intersection of care teams and data science teams: I bridge clinical questions formulated by healthcare professionals and the methods used by data scientists and engineers who work with health data warehouses. This articulation is precisely what motivated the creation of Linkr, a collaborative health data analysis platform designed for clinicians, data scientists, statisticians and health students.
Career
I completed my residency in Intensive Care Medicine at Rennes University Hospital between 2017 and 2023. During my residency, I complemented my clinical training with a Master's in Health Big Data (University of Paris) in 2020 and the CESAM university diploma (Center for Teaching Statistics Applied to Medicine, Sorbonne University). Following this Master's, I started developing Linkr in 2021. I then joined the CDC of Rennes University Hospital in 2023, where I am pursuing a PhD in science on the interpretability, clinical applicability and sustainability of clinical decision support systems in intensive care.
I also teach digital health and health data science at the University of Rennes (EDSAN, Master 2 MAS SDSP) and contribute to the AI university diploma at the University of Lille and to the training program of the European INDICATE project.
Research
My work focuses on clinical decision support systems and more broadly on the use of data from health data warehouses, mainly in the field of critical care. I have contributed to the development of machine learning models for predicting anti-Xa levels under heparin therapy, weaning from veno-arterial ECMO, and weaning from continuous renal replacement therapy. I am also deploying clinical analytics dashboards at Rennes University Hospital (CLIP project – Clinical Learning and Insight Panels), built on top of Linkr. I am co-leader of the creation of a European intensive care data dictionary (online version, source code) within the European INDICATE project, and a member of the digital committees of the French Intensive Care Society (SRLF) and the French Society of Anaesthesia and Intensive Care Medicine (SFAR).