TrauMatrix: RNs at the service of severely traumatized patient care

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TrauMatrix, the new scientific and medical research partnership of the Ecole Polytechnique is launched. Objective: to develop the first decision support tools for the management of patients suffering from severe trauma.

The Polytechnic School announced the launch of a three-year scientific and medical research partnership with the Traumabase association, theAP-HPthe CNRS, the Graduate School of Social Sciences and Capgemini Invent. The partners have chosen to focus on three areas: patient care, diagnosis and management of the care strategy. The latter concerns in particular the management of haemorrhagic shock and head trauma.

A true innovation from a scientific and collaborative point of view, TrauMatrix aims to support medical actors in the care of patients suffering from severe trauma throughout the decision chain of the first 24 hours. TrauMatrix thus places artificial intelligence at the heart of tomorrow's traumatology practice.

Real-time decision-making support

The ambition of TrauMatrix is to create a decision support tool for intensive care anesthetists. This tool will help them in their decision making in real time by directing the care of major trauma patients to the right care units.

It will also help predict the likelihood of events such as hemorrhagic shock or head injury, as well as the adjustment of the care strategy.

At the same time, it also plans to specify the nature of the hospital, material and human resources to be anticipated in order to provide a better response to the patient's needs and increase his chances of survival and absence of sequelae.

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The project is based on the Traumabase, a regional observatory created in 2011 that will become a national registry of medical data on serious trauma. This register, supported by a network of about a hundred emergency physicians and anaesthetist-animators, federates to this day a large part of the French actors of heavy trauma. It is used to feed into initiatives to improve patient care and to facilitate scientific research based on prospective and interventional studies.

Collaboration with the École des hautes études en sciences sociales, the CNRS and the École polytechnique initiated by Dr. Tobias Gauss, Prof. Catherine Paugam-Burtz and Dr. Sophie Hamada, from the Beaujon and Bicêtre AP-HP hospitals, has made it possible to launch a research dynamic around hemorrhagic shock and to initiate initial work under the impetus of Julie Josse, professor at the Centre for Applied Mathematics and INRIA XPOP and DATAIA, and Jean-Pierre Nadal, a CNRS researcher at the Centre d'analyses et de mathématiques sociales.

Towards predictive models?

Capgemini Invent has joined this partnership as an expert in data mining and artificial intelligence through the development of prediction models and the eventual creation of a service platform in collaboration with Traumabase medical experts and scientists from the École des hautes études en sciences sociales, the CNRS and the École polytechnique.

For Julie Josse, professor at the Centre for Applied Mathematics, " The TraumaMatrix project is at the heart of the scientific priorities for innovation in artificial intelligence to respond to major public health issues. The challenges of taking into account the specificity of the patient and trauma systems are significant and give rise to numerous research developments around the themes of causality, model interpretability and data sharing. This project is generating a lot of enthusiasm among young students and is an excellent opportunity to transfer research to teaching. ".

Jean-Pierre Nadal, Director of Research at the CNRS and Director of Studies at the École des Hautes Études en Sciences Sociales, researcher at the Physics Laboratory of the École Normale Supérieure (CNRS/ENS Paris/Sorbonne University/University of Paris) and Director of the Centre for Social Analysis and Mathematics (CNRS/EHESS), explains that " In addition to the opportunity to develop methods in a situation where the data have all the defects (heterogeneity, missing data, so that no known method is well adapted), the TrauMatrix project is a catalyst for interactions between doctors and researchers or engineers, between researchers from different disciplines or expertise, and contributes to the training of young scientists who are as much attracted by the highly technical side of mathematics and computer science as by the public health issue. "

" This project is an extraordinary opportunity for synergy between men and women from different backgrounds to improve the care of severely traumatised people. "says Catherine Paugam-Burtz, Medical Director DMU PARABOL, AP-HP. Nord, University of Paris, Head of the Anaesthesia-Resuscitation Department, AP-HP Beaujon Hospital, Clichy.

This is also the opinion of Tobias Gauss, MD, Hospital Practitioner, Anesthesia-Resuscitation, Hôpital Beaujon AP-HP, DMU PARABOL, of the AP-HP University Hospital Group. Nord, University of Paris - Co-Founder Groupe Traumabase: " TrauMatrix represents a unique opportunity, and a great privilege, to see the collaboration between partners from very different backgrounds at work. Not only does it allow us to explore new approaches to patient management and answer scientific questions, but it also allows us to learn and expand our horizons."

Charlotte Pierron-Perles, Executive Vice-President, Capgemini Invent, Head of Insight Driven Enterprise France explains that "the company's strategy is based on the following principles: "We are committed to the development of the company's business model, which is based on the principles of innovation and innovation. This skills sponsorship programme is of particular importance as it will help to create the trauma practices of tomorrow and save lives. It is a great pleasure and pride for the teams and for myself to have contributed to building this innovative consortium of passionate partners with the sole aim of doing a little better and a little more for others through innovation, data and AI."

Source : CMAP - research unit between the École polytechnique and CNRS and at INRIA XPOP and DATAIA.

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